├── .github ├── .gitattributes ├── CODE_OF_CONDUCT.md ├── ISSUE_TEMPLATE │ ├── 01_suggest-project.md │ ├── 02_update-project.md │ ├── 03_update-categories.md │ ├── 04_change-configuration.md │ └── 05_anything-else.md ├── PULL_REQUEST_TEMPLATE.md └── workflows │ └── update-best-of-list.yml ├── .gitignore ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── config ├── footer.md ├── header.md └── images │ ├── jupyter.ico │ ├── mxnet.png │ ├── paddlepaddle.ico │ ├── pandas.ico │ ├── pytorch.ico │ ├── sklearn.ico │ ├── spark.ico │ └── tensorflow.png ├── history ├── 2020-11-30_projects.csv ├── 2020-12-15_projects.csv ├── 2020-12-16_projects.csv ├── 2020-12-18_changes.md ├── 2020-12-18_projects.csv ├── 2020-12-27_changes.md ├── 2020-12-27_projects.csv ├── 2020-12-28_changes.md ├── 2020-12-28_projects.csv ├── 2021-01-01_changes.md ├── 2021-01-01_projects.csv ├── 2021-01-08_changes.md ├── 2021-01-08_projects.csv ├── 2021-01-13_changes.md ├── 2021-01-13_projects.csv ├── 2021-01-17_changes.md ├── 2021-01-17_projects.csv ├── 2021-01-21_changes.md ├── 2021-01-21_projects.csv ├── 2021-01-28_changes.md ├── 2021-01-28_projects.csv ├── 2021-02-04_changes.md ├── 2021-02-04_projects.csv ├── 2021-02-18_changes.md ├── 2021-02-18_projects.csv ├── 2021-02-25_changes.md └── 2021-02-25_projects.csv ├── latest-changes.md └── projects.yaml /.github/.gitattributes: -------------------------------------------------------------------------------- 1 | * linguist-language=Python 2 | -------------------------------------------------------------------------------- /.github/CODE_OF_CONDUCT.md: -------------------------------------------------------------------------------- 1 | # Contributor Covenant Code of Conduct 2 | 3 | ## Our Pledge 4 | 5 | In the interest of fostering an open and welcoming environment, we as 6 | contributors and maintainers pledge to making participation in our project and 7 | our community a harassment-free experience for everyone, regardless of age, body 8 | size, disability, ethnicity, sex characteristics, gender identity and expression, 9 | level of experience, education, socio-economic status, nationality, personal 10 | appearance, race, religion, or sexual identity and orientation. 11 | 12 | ## Our Standards 13 | 14 | Examples of behavior that contributes to creating a positive environment 15 | include: 16 | 17 | * Using welcoming and inclusive language 18 | * Being respectful of differing viewpoints and experiences 19 | * Gracefully accepting constructive criticism 20 | * Focusing on what is best for the community 21 | * Showing empathy towards other community members 22 | 23 | Examples of unacceptable behavior by participants include: 24 | 25 | * The use of sexualized language or imagery and unwelcome sexual attention or 26 | advances 27 | * Trolling, insulting/derogatory comments, and personal or political attacks 28 | * Public or private harassment 29 | * Publishing others' private information, such as a physical or electronic 30 | address, without explicit permission 31 | * Other conduct which could reasonably be considered inappropriate in a 32 | professional setting 33 | 34 | ## Our Responsibilities 35 | 36 | Project maintainers are responsible for clarifying the standards of acceptable 37 | behavior and are expected to take appropriate and fair corrective action in 38 | response to any instances of unacceptable behavior. 39 | 40 | Project maintainers have the right and responsibility to remove, edit, or 41 | reject comments, commits, code, wiki edits, issues, and other contributions 42 | that are not aligned to this Code of Conduct, or to ban temporarily or 43 | permanently any contributor for other behaviors that they deem inappropriate, 44 | threatening, offensive, or harmful. 45 | 46 | ## Scope 47 | 48 | This Code of Conduct applies both within project spaces and in public spaces 49 | when an individual is representing the project or its community. Examples of 50 | representing a project or community include using an official project e-mail 51 | address, posting via an official social media account, or acting as an appointed 52 | representative at an online or offline event. Representation of a project may be 53 | further defined and clarified by project maintainers. 54 | 55 | ## Enforcement 56 | 57 | Instances of abusive, harassing, or otherwise unacceptable behavior may be 58 | reported by contacting the project team at team@mltooling.org. All 59 | complaints will be reviewed and investigated and will result in a response that 60 | is deemed necessary and appropriate to the circumstances. The project team is 61 | obligated to maintain confidentiality with regard to the reporter of an incident. 62 | Further details of specific enforcement policies may be posted separately. 63 | 64 | Project maintainers who do not follow or enforce the Code of Conduct in good 65 | faith may face temporary or permanent repercussions as determined by other 66 | members of the project's leadership. 67 | 68 | ## Attribution 69 | 70 | This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, 71 | available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html 72 | 73 | [homepage]: https://www.contributor-covenant.org 74 | 75 | For answers to common questions about this code of conduct, see 76 | https://www.contributor-covenant.org/faq -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/01_suggest-project.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: "📦 Suggest a project" 3 | about: "Do you like to suggest a project that hasn't been added to this best-of list yet?" 4 | title: 'Add project: ' 5 | labels: 'add-project' 6 | assignees: '' 7 | 8 | --- 9 | 10 | 13 | 14 | **Project details:** 15 | 16 | 17 | - Project Name: 18 | - Github URL: 19 | - Category: 20 | - License: 21 | - Package Managers: 22 | 23 | **Additional context:** 24 | 25 | 26 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/02_update-project.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: "✏️ Update a project" 3 | about: Do you have changes for a project, e.g. missing package manager, wrong license or category? 4 | title: 'Update project: ' 5 | labels: 'update-project' 6 | assignees: '' 7 | 8 | --- 9 | 10 | **Update details:** 11 | 12 | 15 | 16 | - Project Name: 17 | 18 | 19 | 20 | **Additional context:** 21 | 22 | 23 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/03_update-categories.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: "🏷 Add or update a category" 3 | about: Do you like to suggest a new project category or update an existing one? 4 | title: '' 5 | labels: 'category' 6 | assignees: '' 7 | 8 | --- 9 | 10 | 13 | 14 | - [ ] Add category 15 | - [ ] Update category: 16 | 17 | **Category details:** 18 | 19 | 22 | 23 | - Category Title: 24 | - Category Subtitle: 25 | 26 | **Additional context:** 27 | 28 | 29 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/04_change-configuration.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: "⚙️ Change configuration" 3 | about: Do you have a suggestion for changing the configuration, e.g. allow additional licenses or adjust minimal stars? 4 | title: '' 5 | labels: 'configuration' 6 | assignees: '' 7 | 8 | --- 9 | 10 | **Configuration Change:** 11 | 12 | 13 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/05_anything-else.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: "\U0001F4AC Anything else?" 3 | about: For questions or suggestions regarding the metadata collection or markdown generation, please refer to the best-of-lists/best-of-generator repository. 4 | title: '' 5 | labels: 'question' 6 | assignees: '' 7 | 8 | --- 9 | 10 | 13 | 14 | **Describe the issue:** 15 | 16 | 17 | -------------------------------------------------------------------------------- /.github/PULL_REQUEST_TEMPLATE.md: -------------------------------------------------------------------------------- 1 | **What kind of change does this PR introduce?** 2 | 3 | 4 | - [ ] Add a project 5 | - [ ] Update a project 6 | - [ ] Remove a project 7 | - [ ] Add or update a category 8 | - [ ] Change configuration 9 | - [ ] Documentation 10 | - [ ] Other, please describe: 11 | 12 | **Description:** 13 | 14 | 15 | **Checklist:** 16 | 18 | 19 | - [ ] I have read the [CONTRIBUTING](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md) guidelines. 20 | - [ ] I have not modified the `README.md` file. Projects are only supposed to be added or updated within the `projects.yaml` file since the `README.md` file is automatically generated. 21 | -------------------------------------------------------------------------------- /.github/workflows/update-best-of-list.yml: -------------------------------------------------------------------------------- 1 | # Based on https://github.com/best-of-lists/best-of-update-action/blob/v0.7.0/workflows/update-best-of-list.yml 2 | name: update-best-of-list 3 | 4 | on: 5 | workflow_dispatch: 6 | inputs: 7 | version: 8 | description: "Version to use for this update" 9 | required: false 10 | schedule: 11 | - cron: "0 14 * * 4" # Every thursday at 2pm 12 | 13 | env: 14 | BRANCH_PREFIX: "update/" 15 | DEFAULT_BRANCH: "main" 16 | 17 | jobs: 18 | update-best-of-list: 19 | runs-on: ubuntu-latest 20 | steps: 21 | - if: ${{ github.event.inputs != null && github.event.inputs.version != null }} 22 | name: set-version-from-input 23 | run: echo "VERSION=${{ github.event.inputs.version }}" >> $GITHUB_ENV 24 | - if: ${{ ! (env.VERSION != null && env.VERSION != '') }} 25 | name: set-version-via-date 26 | run: echo "VERSION=$(date '+%Y.%m.%d')" >> $GITHUB_ENV 27 | - uses: actions/checkout@v2 28 | - name: check-version-tag 29 | shell: bash 30 | run: | 31 | git fetch --tags --force 32 | git show-ref --tags --verify --quiet -- "refs/tags/${{ env.VERSION }}" && echo "VERSION=$(date '+%Y.%m.%d-%H.%M')" >> $GITHUB_ENV || exit 0 33 | - name: create-update-branch 34 | uses: peterjgrainger/action-create-branch@v2.0.1 35 | env: 36 | GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 37 | with: 38 | branch: "${{ env.BRANCH_PREFIX }}${{ env.VERSION }}" 39 | - uses: actions/checkout@v2 40 | with: 41 | fetch-depth: 0 42 | ref: ${{ env.BRANCH_PREFIX }}${{ env.VERSION }} 43 | token: ${{ secrets.GITHUB_TOKEN }} 44 | env: 45 | GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 46 | - name: update-best-of-list 47 | uses: best-of-lists/best-of-update-action@v0.7.0 48 | with: 49 | libraries_key: ${{ secrets.LIBRARIES_KEY }} 50 | github_key: ${{ secrets.GITHUB_TOKEN }} 51 | - name: push-update 52 | uses: stefanzweifel/git-auto-commit-action@v4 53 | with: 54 | branch: ${{ env.BRANCH_PREFIX }}${{ env.VERSION }} 55 | commit_user_name: best-of update 56 | commit_user_email: actions@github.com 57 | commit_message: Update best-of list for version ${{ env.VERSION }} 58 | tagging_message: ${{ env.VERSION }} 59 | skip_dirty_check: true 60 | commit_options: "--allow-empty" 61 | - name: create-pull-request 62 | shell: bash 63 | run: | 64 | # Stops script execution if a command has an error 65 | set -e 66 | curl -fsSL https://github.com/github/hub/raw/master/script/get | bash -s 2.14.2 67 | bin/hub pull-request -b ${{ env.DEFAULT_BRANCH }} -h ${{ env.BRANCH_PREFIX }}${{ env.VERSION }} --no-edit -m "Best-of update: ${{ env.VERSION }}" -m "To finish this update: Select Merge pull request below and Confirm merge. Also, make sure to publish the created draft release in the [releases section](../releases) as well." || true 68 | rm bin/hub 69 | env: 70 | GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 71 | - name: create-release 72 | uses: actions/create-release@v1 73 | env: 74 | GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 75 | with: 76 | tag_name: ${{ env.VERSION }} 77 | release_name: "Update: ${{ env.VERSION }}" 78 | body_path: "latest-changes.md" 79 | draft: true 80 | prerelease: false 81 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # IntelliJ 2 | target/ 3 | .idea/ 4 | *.iml 5 | 6 | # Sublime 7 | *.sublime-workspace 8 | 9 | # Eclipse 10 | .settings 11 | 12 | # VS Code 13 | .project 14 | .classpath 15 | # Shared VS Code Settings 16 | .vscode/* 17 | !.vscode/README.md 18 | !.vscode/recommended-settings.json 19 | !.vscode/recommended-tasks.json 20 | !.vscode/recommended-launch.json 21 | !.vscode/extensions.json 22 | # Ignore all local history of files 23 | **/.history 24 | 25 | # Java 26 | *.class 27 | target/ 28 | 29 | # C 30 | *.so 31 | 32 | # Python 33 | *.pyc 34 | *.egg-info 35 | __pycache__ 36 | .ipynb_checkpoints 37 | .Python 38 | dist/ 39 | .python-version 40 | .installed.cfg 41 | *.egg 42 | reqlib-metadata 43 | .mypy_cache/ 44 | .venv 45 | venv/ 46 | build/ 47 | 48 | # Byte-compiled / optimized / DLL files 49 | *.pyc 50 | __pycache__/ 51 | *.py[cod] 52 | *$py.class 53 | 54 | # Unit test / coverage reports 55 | htmlcov/ 56 | .tox/ 57 | .nox/ 58 | .coverage 59 | .coverage.* 60 | .cache 61 | nosetests.xml 62 | coverage.xml 63 | *,cover 64 | .hypothesis/ 65 | .pytest_cache/ 66 | 67 | # NPM / Node / JavaScript 68 | .npm 69 | node_modules/ 70 | jspm_packages/ 71 | 72 | # Runtime data 73 | pids 74 | *.pid 75 | *.seed 76 | *.pid.lock 77 | 78 | # Logs 79 | logs 80 | *.log 81 | npm-debug.log* 82 | yarn-debug.log* 83 | yarn-error.log* 84 | lerna-debug.log* 85 | 86 | # vim temporary files 87 | *~ 88 | .*.sw? 89 | 90 | # Other Artifacts 91 | hs_err_pid* 92 | *.log 93 | *.swp 94 | *.swo 95 | temp/* 96 | .DS_Store 97 | 98 | -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | 2 | # Contribution Guidelines 3 | 4 | Thanks for your interest in contributing to our project. This page will give you a quick overview of how things are organized and, most importantly, how to get involved. Everyone is welcome to contribute, and we value everybody's contribution. 5 | 6 | ## Table of contents 7 | 8 | 1. [Add a project](#add-a-project) 9 | 2. [Update a project](#update-a-project) 10 | 3. [Improve metadata collection](#improve-metadata-collection) 11 | 4. [Improve markdown generation](#improve-markdown-generation) 12 | 5. [Create your own best-of list](#improve-markdown-generation) 13 | 6. [Code of conduct](#code-of-conduct) 14 | 15 | ## Add a project 16 | 17 | If you like to suggest or add a project, choose one of the following ways: 18 | 19 | - Suggest a project by opening an issue: Please use the suggest project template from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information. 20 | - Add a project by modifying the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) and submitting a pull request with your addition. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). 21 | 22 | Before opening an issue or pull request, please ensure that you adhere to the following guidelines: 23 | 24 | - Please make sure that the project was not already added or suggested to this best-of list. You can ensure this by searching the projects.yaml, the Readme, and the issue list. 25 | - Add the project to the `projects.yaml` and never to the `README.md` file directly. Use the yaml format and the properties documented in the [project properties](#project-properties) section below to add a new project, for example: 26 | ```yaml 27 | - name: Tensorflow 28 | github_id: tensorflow/tensorflow 29 | pypi_id: tensorflow 30 | conda_id: tensorflow 31 | labels: ["tensorflow"] 32 | category: ml-frameworks 33 | ``` 34 | - Please create an individual issue or pull request for each project. 35 | - Please use the following title format for the issue or pull request: `Add project: project-name`. 36 | - If a project doesn't fit into any of the pre-existing categories, it should go under the `Others` category by not assigning any category. You can also suggest a new category via the add or update category template on the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose). 37 | 38 | ## Update a project 39 | 40 | If you like to suggest or contribute a project update, choose one of the following ways: 41 | 42 | - Suggest a project update by opening an issue: Please use the update project template from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information. 43 | - Update a project by modifying the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) and submitting a pull request with your changes. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). 44 | 45 | Before opening an issue or pull request, please ensure that you adhere to the following guidelines: 46 | 47 | - Only update the project in the `projects.yaml` and never to the `README.md` file directly. Use the yaml format and the properties documented in the [project properties](#project-properties) section below to update a new project. 48 | - Please create an individual issue or pull request for each project. 49 | - Please use the following title format for the issue or pull request: `Update project: project-name`. 50 | 51 | ## Project properties 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 100 |
PropertyDescription
nameName of the project. This name is required to be unique on the best-of list.
github_idGithub ID of the project based on user or organization and the repository name, e.g. best-of-lists/best-of-generator.
Optional Properties:
categoryCategory that this project is most related to. You can find all available category IDs in the projects.yaml file. The project will be sorted into the Others category if no category is provided.
labelsList of labels that this project is related to. You can find all available label IDs in the projects.yaml file.
Supported Package Managers:
pypi_idProject ID on the python package index (PyPi).
conda_idProject ID on the conda package manager. If the main package is provided on a different channel, prefix the ID with the given channel: e.g. conda-forge/tensorflow
npm_idProject ID on the Node package manager (npm).
dockerhub_idProject ID on the Docker Hub container registry.
maven_idArtifact ID on Maven central, e.g. org.apache.flink:flink-core.
101 | 102 | Please refer to the [best-of-generator documentation](https://github.com/best-of-lists/best-of-generator#project-properties) for a complete and up-to-date list of supported project properties. 103 | 104 | ## Improve metadata collection 105 | 106 | If you like to contribute to or share suggestions regarding the project metadata collection, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. 107 | 108 | ## Improve markdown generation 109 | 110 | If you like to contribute to or share suggestions regarding the markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. 111 | 112 | ## Create your own best-of list 113 | 114 | If you want to create your own best-of list, we strongly recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md). With this guide, it will only take about 3 minutes to get you started. It is already set-up to automatically run the best-of generator via our Github Action and includes other useful template files. 115 | 116 | ## Code of Conduct 117 | 118 | All members of the project community must abide by the [Contributor Covenant, version 2.0](./.github/CODE_OF_CONDUCT.md). Only by respecting each other we can develop a productive, collaborative community. Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting a project maintainer. 119 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Attribution-ShareAlike 4.0 International 2 | 3 | ======================================================================= 4 | 5 | Creative Commons Corporation ("Creative Commons") is not a law firm and 6 | does not provide legal services or legal advice. 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For 424 | the avoidance of doubt, this paragraph does not form part of the 425 | public licenses. 426 | 427 | Creative Commons may be contacted at creativecommons.org. 428 | -------------------------------------------------------------------------------- /config/footer.md: -------------------------------------------------------------------------------- 1 | 2 | --- 3 | 4 | ## Related Resources 5 | 6 | - [**Papers With Code**](https://paperswithcode.com): Discover ML papers, code, and evaluation tables. 7 | - [**Sotabench**](https://sotabench.com): Discover & compare open-source ML models. 8 | - [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Dataset search engine by Google. 9 | - [**Dataset List**](https://www.datasetlist.com/): List of the biggest ML datasets from across the web. 10 | - [**Awesome Public Datasets**](https://github.com/awesomedata/awesome-public-datasets): A topic-centric list of open datasets. 11 | - [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics. 12 | - [**best-of-python-dev**](https://github.com/ml-tooling/best-of-python-dev): A ranked list of awesome python developer tools and libraries. 13 | - [**best-of-web-python**](https://github.com/ml-tooling/best-of-web-python): A ranked list of awesome python libraries for web development. 14 | 15 | ## Contribution 16 | 17 | Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways: 18 | 19 | - Open an issue by selecting one of the provided categories from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information. 20 | - Modify the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). 21 | 22 | If you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md). 23 | 24 | For more information on how to add or update projects, please read the [contribution guidelines](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/ml-tooling/best-of-ml-python/blob/main/.github/CODE_OF_CONDUCT.md). 25 | 26 | ## License 27 | 28 | [![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/by-sa.svg)](https://creativecommons.org/licenses/by-sa/4.0/) 29 | -------------------------------------------------------------------------------- /config/header.md: -------------------------------------------------------------------------------- 1 | 2 |

3 | Best-of Machine Learning with Python 4 |
5 |

6 | 7 |

8 | 🏆  A ranked list of awesome machine learning Python libraries. Updated weekly. 9 |

10 | 11 |

12 | 13 | 14 | 15 | 16 | 17 | 18 |

19 | 20 | This curated list contains {project_count} awesome open-source projects with a total of {stars_count} stars grouped into {category_count} categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! 21 | 22 | --- 23 | 24 |

25 | 🧙‍♂️  Discover other best-of lists or create your own.
26 | 📫  Subscribe to our newsletter for updates and trending projects. 27 |

28 | 29 | --- 30 | 31 | -------------------------------------------------------------------------------- /config/images/jupyter.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/campusx-official/best-of-ml-python/134934cfa212fbb64b40661993bba7cacf4b7261/config/images/jupyter.ico -------------------------------------------------------------------------------- /config/images/mxnet.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/campusx-official/best-of-ml-python/134934cfa212fbb64b40661993bba7cacf4b7261/config/images/mxnet.png -------------------------------------------------------------------------------- /config/images/paddlepaddle.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/campusx-official/best-of-ml-python/134934cfa212fbb64b40661993bba7cacf4b7261/config/images/paddlepaddle.ico -------------------------------------------------------------------------------- /config/images/pandas.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/campusx-official/best-of-ml-python/134934cfa212fbb64b40661993bba7cacf4b7261/config/images/pandas.ico -------------------------------------------------------------------------------- /config/images/pytorch.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/campusx-official/best-of-ml-python/134934cfa212fbb64b40661993bba7cacf4b7261/config/images/pytorch.ico -------------------------------------------------------------------------------- /config/images/sklearn.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/campusx-official/best-of-ml-python/134934cfa212fbb64b40661993bba7cacf4b7261/config/images/sklearn.ico -------------------------------------------------------------------------------- /config/images/spark.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/campusx-official/best-of-ml-python/134934cfa212fbb64b40661993bba7cacf4b7261/config/images/spark.ico -------------------------------------------------------------------------------- /config/images/tensorflow.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/campusx-official/best-of-ml-python/134934cfa212fbb64b40661993bba7cacf4b7261/config/images/tensorflow.png -------------------------------------------------------------------------------- /history/2020-12-18_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - peewee (🥈33 · ⭐ 8K · 📈) - a small, expressive orm -- supports postgresql, mysql and sqlite. MIT 6 | - Rasa (🥇32 · ⭐ 10K · 📈) - Open source machine learning framework to automate text- and.. Apache-2 7 | - tensorflow-hub (🥇32 · ⭐ 2.7K · 📈) - A library for transfer learning by reusing parts of.. Apache-2 8 | - Datasets (🥇29 · ⭐ 5.8K · 📈) - The largest hub of ready-to-use open-access datasets for ML.. Apache-2 9 | - InterpretML (🥈27 · ⭐ 3.3K · 📈) - Fit interpretable models. Explain blackbox machine learning. MIT 10 | - datasketch (🥉27 · ⭐ 1.4K · 📈) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT 11 | - yellowbrick (🥈26 · ⭐ 3K · 📈) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 12 | - pyinstrument (🥈26 · ⭐ 2.3K · 📈) - Call stack profiler for Python. Shows you why your code is.. BSD-3 13 | - gpustat (🥉25 · ⭐ 2.1K · 💤) - A simple command-line utility for querying and monitoring GPU status. MIT 14 | - sklearn-evaluation (🥉20 · ⭐ 280 · 📈) - scikit-learn model evaluation made easy: plots, tables and.. MIT 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - TF Addons (🥈30 · ⭐ 1.1K · 📉) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 21 | - Tesseract (🥇29 · ⭐ 3.3K · 📉) - Python-tesseract is an optical character recognition (OCR).. Apache-2 22 | - Pythran (🥈24 · ⭐ 1.5K · 📉) - Ahead of Time compiler for numeric kernels. BSD-3 23 | - ktrain (🥉24 · ⭐ 690 · 📉) - ktrain is a Python library that makes deep learning and AI.. Apache-2 24 | - HappyBase (🥉24 · ⭐ 550 · 💤) - A developer-friendly Python library to interact with Apache HBase. MIT 25 | - Node2Vec (🥈22 · ⭐ 600 · 📉) - Implementation of the node2vec algorithm. MIT 26 | - Torchmeta (🥈21 · ⭐ 1.1K · 📉) - A collection of extensions and data-loaders for few-shot.. MIT 27 | - mlens (🥉19 · ⭐ 660 · 💤) - ML-Ensemble high performance ensemble learning. MIT 28 | - pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT 29 | 30 | -------------------------------------------------------------------------------- /history/2020-12-27_changes.md: -------------------------------------------------------------------------------- 1 | ## ➕ Added Projects 2 | 3 | _Projects that were recently added to this best-of list._ 4 | 5 | - dash (🥇34 · ⭐ 14K · ➕) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript.. MIT 6 | - dlib (🥈33 · ⭐ 9.7K · ➕) - A toolkit for making real world machine learning and data.. ❗️BSL-1.0 7 | - python-bigquery (🥈33 · ⭐ 3.4K · ➕) - Google BigQuery API client library. Apache-2 8 | - feedparser (🥇31 · ⭐ 1.2K · ➕) - Parse feeds in Python. BSD-2 9 | - Wand (🥈30 · ⭐ 1K · ➕) - The ctypes-based simple ImageMagick binding for Python. MIT 10 | - glfw (🥈29 · ⭐ 7.1K · ➕) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and.. ❗️Zlib 11 | - Graphviz (🥈29 · ⭐ 880 · ➕) - Simple Python interface for Graphviz. MIT 12 | - pretrainedmodels (🥇27 · ⭐ 7.6K · 💤) - Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet,.. BSD-3 13 | - hdbscan (🥈27 · ⭐ 1.8K · ➕) - A high performance implementation of HDBSCAN clustering. BSD-3 14 | - pyopencl (🥈27 · ⭐ 760 · ➕) - OpenCL integration for Python, plus shiny features. MIT 15 | - carla (🥈26 · ⭐ 5.4K · ➕) - Open-source simulator for autonomous driving research. MIT 16 | - Datasette (🥈26 · ⭐ 4.4K · ➕) - An open source multi-tool for exploring and publishing data. Apache-2 17 | - facenet-pytorch (🥈26 · ⭐ 1.7K · ➕) - Pretrained Pytorch face detection (MTCNN) and recognition.. MIT 18 | - efficientnet (🥈26 · ⭐ 1.6K · ➕) - Implementation of EfficientNet model. Keras and TensorFlow.. Apache-2 19 | - agate (🥈26 · ⭐ 1K · 💤) - A Python data analysis library that is optimized for humans instead of.. MIT 20 | - Milvus (🥈25 · ⭐ 4.8K · ➕) - An open source embedding vector similarity search engine.. Apache-2 21 | - espnet (🥉25 · ⭐ 3.2K · ➕) - End-to-End Speech Processing Toolkit. Apache-2 22 | - spark-nlp (🥈25 · ⭐ 1.8K · ➕) - State of the Art Natural Language Processing. Apache-2 23 | - chainercv (🥉25 · ⭐ 1.4K · 💤) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT 24 | - haystack (🥈25 · ⭐ 1.2K · ➕) - Transformers at scale for question answering & neural search... Apache-2 25 | - python-soundfile (🥉25 · ⭐ 350 · ➕) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3 26 | - ml-metadata (🥉25 · ⭐ 210 · ➕) - For recording and retrieving metadata associated with ML.. Apache-2 27 | - pysc2 (🥈24 · ⭐ 7.1K · 💀) - StarCraft II Learning Environment. Apache-2 28 | - EfficientNet-PyTorch (🥇24 · ⭐ 5.2K · ➕) - A PyTorch implementation of EfficientNet. Apache-2 29 | - mtcnn (🥉24 · ⭐ 1.3K · ➕) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT 30 | - datalad (🥈24 · ⭐ 220 · ➕) - Keep code, data, containers under control with git and git-annex. MIT 31 | - PaddleHub (🥉23 · ⭐ 4.2K · ➕) - Awesome pre-trained models toolkit based on.. Apache-2 32 | - textgenrnn (🥉23 · ⭐ 4.2K · ➕) - Easily train your own text-generating neural network of any.. MIT 33 | - segmentation_models (🥉23 · ⭐ 2.8K · 💤) - Segmentation models with pretrained backbones. Keras and.. MIT 34 | - sense2vec (🥉23 · ⭐ 1.1K · 💤) - Contextually-keyed word vectors. MIT 35 | - analytics-zoo (🥉22 · ⭐ 2.2K · ➕) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 36 | - neuralcoref (🥉22 · ⭐ 2.2K · ➕) - Fast Coreference Resolution in spaCy with Neural Networks. MIT 37 | - PDPbox (🥉22 · ⭐ 520 · 💀) - python partial dependence plot toolbox. MIT 38 | - pyvips (🥉22 · ⭐ 280 · ➕) - python binding for libvips using cffi. MIT 39 | - SUOD (🥉22 · ⭐ 220 · ➕) - An Acceleration System for Large-scale Outlier Detection (Anomaly.. BSD-2 40 | - ogb (🥈21 · ⭐ 670 · ➕) - Benchmark datasets, data loaders, and evaluators for graph machine.. MIT 41 | - alibi-detect (🥉21 · ⭐ 440 · ➕) - Algorithms for outlier and adversarial instance detection,.. Apache-2 42 | - Neuraxle (🥉21 · ⭐ 340 · ➕) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML.. Apache-2 43 | - caer (🥉21 · ⭐ 280 · 🐣) - A lightweight, scalable, GPU-accelerated Computer Vision library for.. MIT 44 | - gokart (🥉21 · ⭐ 150 · ➕) - A wrapper of the data pipeline library luigi. MIT 45 | - reformer-pytorch (🥈20 · ⭐ 1.3K · ➕) - Reformer, the efficient Transformer, in Pytorch. MIT 46 | - nude.py (🥉20 · ⭐ 780 · ➕) - Nudity detection with Python. MIT 47 | - mljar-supervised (🥉20 · ⭐ 600 · ➕) - Automates Machine Learning Pipeline with Feature.. MIT 48 | - Lassie (🥉20 · ⭐ 520 · ➕) - Web Content Retrieval for Humans. MIT 49 | - Queries (🥉20 · ⭐ 230 · ➕) - PostgreSQL database access simplified. BSD-3 50 | - Cola (🥉18 · ⭐ 1.4K · 💤) - A high-level distributed crawling framework. Apache-2 51 | - pytorch-forecasting (🥉18 · ⭐ 460 · 🐣) - Time series forecasting with PyTorch. MIT 52 | - FairScale (🥉17 · ⭐ 590 · 🐣) - PyTorch extensions for high performance and large scale.. BSD-3 53 | - Norfair (🥉17 · ⭐ 580 · 🐣) - Lightweight Python library for adding real-time 2D object tracking.. BSD-3 54 | - kglib (🥉17 · ⭐ 380 · ➕) - Grakn Knowledge Graph Library (ML R&D). Apache-2 55 | - Sematch (🥉17 · ⭐ 340 · 💀) - semantic similarity framework for knowledge graph. Apache-2 56 | - lightly (🥉16 · ⭐ 380 · 🐣) - A python library for self-supervised learning. MIT 57 | - elegy (🥉16 · ⭐ 140 · 🐣) - Elegy is a Neural Networks framework based on Jax and.. Apache-2 jax 58 | - tinygrad (🥉15 · ⭐ 3.7K · 🐣) - You like pytorch? You like micrograd? You love tinygrad!. MIT 59 | - OpenNRE (🥉14 · ⭐ 2.9K · ➕) - An Open-Source Package for Neural Relation Extraction (NRE). MIT 60 | - micrograd (🥉14 · ⭐ 1.5K · 💤) - A tiny scalar-valued autograd engine and a neural net library.. MIT 61 | - traingenerator (🥉9 · ⭐ 600 · ➕) - A web app to generate template code for machine learning. MIT 62 | 63 | ## 📈 Trending Up 64 | 65 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 66 | 67 | - DVC (🥇30 · ⭐ 7K · 📈) - Data Version Control | Git for Data & Models. Apache-2 68 | - ipyparallel (🥈29 · ⭐ 1.8K · 📈) - Interactive Parallel Computing in Python. BSD-3 69 | - detectron2 (🥈26 · ⭐ 14K · 📈) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 70 | - aubio (🥉26 · ⭐ 2K · 📈) - a library for audio and music analysis. ❗️GPL-3.0 71 | - Apex (🥈23 · ⭐ 4.9K · 📈) - A PyTorch Extension: Tools for easy mixed precision and.. BSD-3 72 | - SHOGUN (🥉23 · ⭐ 2.8K · 📈) - Unified and efficient Machine Learning. BSD-3 73 | - MMLSpark (🥉23 · ⭐ 2.2K · 📈) - Microsoft Machine Learning for Apache Spark. MIT 74 | - Higher (🥉19 · ⭐ 1K · 📈) - higher is a pytorch library allowing users to obtain higher.. Apache-2 75 | - baikal (🥉18 · ⭐ 570 · 📈) - A graph-based functional API for building complex scikit-learn.. BSD-3 76 | - GraphVite (🥉12 · ⭐ 820 · 💤) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 77 | 78 | ## 📉 Trending Down 79 | 80 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 81 | 82 | - GeoPandas (🥇31 · ⭐ 2.4K · 📉) - Python tools for geographic data. BSD-3 83 | - fairseq (🥇30 · ⭐ 11K · 📉) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT 84 | - AllenNLP (🥈29 · ⭐ 9.5K · 📉) - An open-source NLP research library, built on PyTorch. Apache-2 85 | - GluonCV (🥈27 · ⭐ 4.4K · 📉) - Gluon CV Toolkit. Apache-2 86 | - Kedro (🥈27 · ⭐ 3.3K · 📉) - A Python framework for creating reproducible, maintainable and.. Apache-2 87 | - Catalyst (🥈27 · ⭐ 2.3K · 📉) - Accelerated deep learning R&D. Apache-2 88 | - pygal (🥇27 · ⭐ 2.3K · 📉) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 89 | - TRAINS (🥉25 · ⭐ 2K · 📉) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2 90 | - fastNLP (🥈25 · ⭐ 1.9K · 📉) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 91 | - Hyperas (🥈24 · ⭐ 2.1K · 📉) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT 92 | 93 | -------------------------------------------------------------------------------- /history/2020-12-28_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - iNNvestigate (🥉21 · ⭐ 740 · 📈) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2 6 | 7 | ## 📉 Trending Down 8 | 9 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 10 | 11 | - Faiss (🥇28 · ⭐ 12K · 📉) - A library for efficient similarity search and clustering of dense.. MIT 12 | - Captum (🥈25 · ⭐ 2K · 📉) - Model interpretability and understanding for PyTorch. BSD-3 13 | - Orion (🥉22 · ⭐ 180 · 📉) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 14 | - Sentinelsat (🥉21 · ⭐ 530 · 📉) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 15 | - alibi-detect (🥉20 · ⭐ 440 · 📉) - Algorithms for outlier and adversarial instance detection,.. Apache-2 16 | - gplearn (🥉19 · ⭐ 900 · 💤) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 17 | - PyWaffle (🥉19 · ⭐ 370 · 📉) - Make Waffle Charts in Python. MIT 18 | - recmetrics (🥉19 · ⭐ 220 · 📉) - A library of metrics for evaluating recommender systems. MIT 19 | - fletcher (🥉19 · ⭐ 200 · 📉) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT 20 | - nptsne (🥉14 · ⭐ 24 · 📉) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 21 | 22 | ## ➕ Added Projects 23 | 24 | _Projects that were recently added to this best-of list._ 25 | 26 | - ClearML (🥉23 · ⭐ 2K · ➕) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2 27 | 28 | -------------------------------------------------------------------------------- /history/2021-01-01_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - geopy (🥇33 · ⭐ 3.1K · 📈) - Geocoding library for Python. MIT 6 | - fairseq (🥇31 · ⭐ 11K · 📈) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT 7 | - numexpr (🥈31 · ⭐ 1.5K · 📈) - Fast numerical array expression evaluator for Python, NumPy,.. MIT 8 | - SageMaker SDK (🥇31 · ⭐ 1.3K · 📈) - A library for training and deploying machine learning.. Apache-2 9 | - Requests-HTML (🥈30 · ⭐ 11K · 💤) - Pythonic HTML Parsing for Humans. MIT 10 | - Faiss (🥇29 · ⭐ 12K · 📈) - A library for efficient similarity search and clustering of dense.. MIT 11 | - tensorpack (🥉29 · ⭐ 5.9K · 📈) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 12 | - Modin (🥈29 · ⭐ 5.6K · 📈) - Modin: Speed up your Pandas workflows by changing a single.. Apache-2 13 | - Autograd (🥇29 · ⭐ 5.1K · 💀) - Efficiently computes derivatives of numpy code. MIT 14 | - NMSLIB (🥈28 · ⭐ 2.2K · 📈) - Non-Metric Space Library (NMSLIB): An efficient similarity.. Apache-2 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - Theano (🥈34 · ⭐ 9.3K · 📉) - Theano is a Python library that allows you to define, optimize,.. BSD-3 21 | - imgaug (🥇31 · ⭐ 10K · 💤) - Image augmentation for machine learning experiments. MIT 22 | - Chainer (🥈31 · ⭐ 5.5K · 📉) - A flexible framework of neural networks for deep learning. MIT 23 | - tensorboardX (🥈27 · ⭐ 6.7K · 📉) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT 24 | - scikit-surprise (🥈26 · ⭐ 4.6K · 📉) - A Python scikit for building and analyzing recommender.. BSD-3 25 | - librosa (🥈26 · ⭐ 4.2K · 📉) - Python library for audio and music analysis. ISC 26 | - mmdnn (🥈22 · ⭐ 5.1K · 📉) - MMdnn is a set of tools to help users inter-operate among different.. MIT 27 | - Dejavu (🥉20 · ⭐ 5.3K · 💤) - Audio fingerprinting and recognition in Python. MIT 28 | - Fiber (🥉18 · ⭐ 830 · 📉) - Distributed Computing for AI Made Simple. Apache-2 29 | - Sherpa (🥉17 · ⭐ 280 · 📉) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 30 | 31 | -------------------------------------------------------------------------------- /history/2021-01-08_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - mlflow (🥇34 · ⭐ 8.1K · 📈) - Open source platform for the machine learning lifecycle. Apache-2 6 | - folium (🥇32 · ⭐ 5.1K · 📈) - Python Data. Leaflet.js Maps. MIT 7 | - Altair (🥈31 · ⭐ 6.3K · 📈) - Declarative statistical visualization library for Python. BSD-3 8 | - Tesseract (🥇30 · ⭐ 3.4K · 📈) - Python-tesseract is an optical character recognition (OCR).. Apache-2 9 | - TPOT (🥇29 · ⭐ 7.7K · 📈) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 10 | - pyproj (🥈29 · ⭐ 560 · 📈) - Python interface to PROJ (cartographic projections and coordinate.. MIT 11 | - GluonCV (🥈28 · ⭐ 4.4K · 📈) - Gluon CV Toolkit. Apache-2 12 | - Kedro (🥈28 · ⭐ 3.3K · 📈) - A Python framework for creating reproducible, maintainable and.. Apache-2 13 | - EasyOCR (🥈27 · ⭐ 9.8K · 📈) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 14 | - PyTorch Image Models (🥈27 · ⭐ 6.4K · 📈) - PyTorch image models, scripts, pretrained weights --.. Apache-2 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - Hyperopt (🥇30 · ⭐ 5.3K · 📉) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 21 | - SageMaker SDK (🥇30 · ⭐ 1.3K · 📉) - A library for training and deploying machine learning.. Apache-2 22 | - PaddlePaddle (🥉29 · ⭐ 14K · 📉) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 23 | - Faiss (🥇28 · ⭐ 12K · 📉) - A library for efficient similarity search and clustering of dense vectors. MIT 24 | - Keras Tuner (🥇28 · ⭐ 2.2K · 📉) - Hyperparameter tuning for humans. Apache-2 25 | - PyTables (🥈28 · ⭐ 1K · 📉) - A Python package to manage extremely large amounts of data. BSD-3 26 | - Pyro (🥈27 · ⭐ 6.7K · 📉) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 27 | - Ibis (🥉27 · ⭐ 1.5K · 📉) - A pandas-like deferred expression system, with first-class SQL.. Apache-2 28 | - Catalyst (🥈26 · ⭐ 2.4K · 📉) - Accelerated deep learning R&D. Apache-2 29 | - pygal (🥈26 · ⭐ 2.3K · 📉) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 30 | 31 | ## ➕ Added Projects 32 | 33 | _Projects that were recently added to this best-of list._ 34 | 35 | - scipy (🥇40 · ⭐ 7.8K · ➕) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 36 | - Auto ViML (🥉20 · ⭐ 190 · ➕) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 37 | - Auto TS (🥉17 · ⭐ 140 · ➕) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models.. Apache-2 38 | - featurewiz (🥉12 · ⭐ 15 · 🐣) - Select the best features from your data set fast with a single.. Apache-2 39 | 40 | -------------------------------------------------------------------------------- /history/2021-01-13_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - Matplotlib (🥇41 · ⭐ 13K · 📈) - matplotlib: plotting with Python. Python-2.0 6 | - torchvision (🥇36 · ⭐ 8.1K · 📈) - Datasets, Transforms and Models specific to Computer.. BSD-3 7 | - TPOT (🥇30 · ⭐ 7.7K · 📈) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 8 | - Faiss (🥇29 · ⭐ 12K · 📈) - A library for efficient similarity search and clustering of dense vectors. MIT 9 | - UMAP (🥈29 · ⭐ 4.4K · 📈) - Uniform Manifold Approximation and Projection. BSD-3 10 | - tsfresh (🥇27 · ⭐ 5.3K · 📈) - Automatic extraction of relevant features from time series:. MIT 11 | - Captum (🥈26 · ⭐ 2.1K · 📈) - Model interpretability and understanding for PyTorch. BSD-3 12 | - TensorFlowOnSpark (🥈25 · ⭐ 3.6K · 📈) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 13 | - TreeInterpreter (🥈23 · ⭐ 640 · 📈) - Package for interpreting scikit-learn's decision tree.. BSD-3 14 | - PARL (🥉21 · ⭐ 1.8K · 📈) - A high-performance distributed training framework for.. Apache-2 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - Albumentations (🥈28 · ⭐ 7K · 📉) - Fast image augmentation library and easy to use wrapper.. MIT 21 | - faust (🥈27 · ⭐ 5.2K · 📉) - Python Stream Processing. BSD-3 22 | - Tokenizers (🥈27 · ⭐ 4.2K · 📉) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 23 | - TF Model Optimization (🥈26 · ⭐ 940 · 📉) - A toolkit to optimize ML models for deployment for.. Apache-2 24 | - spleeter (🥈25 · ⭐ 15K · 📉) - Deezer source separation library including pretrained models. MIT 25 | - nevergrad (🥈25 · ⭐ 2.8K · 📉) - A Python toolbox for performing gradient-free optimization. MIT 26 | - Foolbox (🥇25 · ⭐ 1.8K · 📉) - A Python toolbox to create adversarial examples that fool neural.. MIT 27 | - facenet-pytorch (🥈25 · ⭐ 1.8K · 📉) - Pretrained Pytorch face detection (MTCNN) and.. MIT 28 | - fastNLP (🥈24 · ⭐ 2K · 📉) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 29 | - CLTK (🥈24 · ⭐ 630 · 📉) - The Classical Language Toolkit. MIT 30 | 31 | ## ➕ Added Projects 32 | 33 | _Projects that were recently added to this best-of list._ 34 | 35 | - joblib (🥇35 · ⭐ 2.3K · ➕) - Computing with Python functions. BSD-3 36 | - dask.distributed (🥇34 · ⭐ 1.1K · ➕) - A distributed task scheduler for Dask. BSD-3 37 | - rq (🥇33 · ⭐ 7.5K · ➕) - Simple job queues for Python. BSD-3 38 | - Shapely (🥇33 · ⭐ 2.1K · ➕) - Manipulation and analysis of geometric objects. BSD-3 39 | - jieba (🥇31 · ⭐ 25K · 💤) - Chinese Words Segmentation Utilities. MIT 40 | - wandb client (🥇30 · ⭐ 2.6K · ➕) - A tool for visualizing and tracking your machine learning.. MIT 41 | - hmmlearn (🥇29 · ⭐ 2.2K · ➕) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 42 | - Keras-Preprocessing (🥇29 · ⭐ 900 · ➕) - Utilities for working with image data, text data, and.. MIT 43 | - snowballstemmer (🥈29 · ⭐ 460 · ➕) - Snowball compiler and stemming algorithms. BSD-3 44 | - baselines (🥇28 · ⭐ 11K · 💤) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT 45 | - plotnine (🥈28 · ⭐ 2.5K · ➕) - A grammar of graphics for Python. ❗️GPL-2.0 46 | - ta (🥇27 · ⭐ 1.7K · ➕) - Technical Analysis Library using Pandas and Numpy. MIT 47 | - filterpy (🥈27 · ⭐ 1.6K · ➕) - Python Kalman filtering and optimal estimation library. Implements.. MIT 48 | - arviz (🥇27 · ⭐ 930 · ➕) - Exploratory analysis of Bayesian models with Python. Apache-2 49 | - patsy (🥈27 · ⭐ 730 · 💀) - Describing statistical models in Python using symbolic formulas. BSD-2 50 | - data-validation (🥈27 · ⭐ 500 · ➕) - Library for exploring and validating machine learning.. Apache-2 51 | - audioread (🥈27 · ⭐ 360 · ➕) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT 52 | - pmdarima (🥈26 · ⭐ 800 · ➕) - A statistical library designed to fill the void in Python's time.. MIT 53 | - pyclustering (🥈26 · ⭐ 780 · ➕) - pyclustring is a Python, C++ data mining library. BSD-3 54 | - tabulator-py (🥉26 · ⭐ 200 · ➕) - Python library for reading and writing tabular data via streams. MIT 55 | - vaderSentiment (🥈25 · ⭐ 2.7K · 💤) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT 56 | - pytorch-optimizer (🥇25 · ⭐ 1.6K · ➕) - torch-optimizer -- collection of optimizers for.. Apache-2 57 | - dtreeviz (🥈25 · ⭐ 1.3K · ➕) - A python library for decision tree visualization and model.. MIT 58 | - bcolz (🥉25 · ⭐ 910 · ➕) - A columnar data container that can be compressed. BSD-3 59 | - mahotas (🥈25 · ⭐ 660 · ➕) - Computer Vision in Python. MIT 60 | - tensorflow-upstream (🥉25 · ⭐ 530 · ➕) - TensorFlow ROCm port. Apache-2 61 | - Lasagne (🥉24 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT 62 | - python_speech_features (🥉24 · ⭐ 1.8K · ➕) - This library provides common speech features for ASR.. MIT 63 | - causalml (🥈24 · ⭐ 1.5K · ➕) - Uplift modeling and causal inference with machine learning.. Apache-2 64 | - petastorm (🥈24 · ⭐ 1K · ➕) - Petastorm library enables single machine or distributed.. Apache-2 65 | - Hub (🥈24 · ⭐ 540 · ➕) - The fastest way to access and manage datasets for PyTorch and.. MPL-2.0 66 | - combo (🥈24 · ⭐ 470 · ➕) - A Python Toolbox for Machine Learning Model Combination. BSD-2 xgboost 67 | - SALib (🥉24 · ⭐ 420 · ➕) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. MIT 68 | - findspark (🥈24 · ⭐ 380 · 💤) - Find pyspark to make it importable. BSD-3 69 | - sklearn-crfsuite (🥈24 · ⭐ 350 · 💀) - scikit-learn inspired API for CRFsuite. MIT 70 | - snownlp (🥉23 · ⭐ 5.2K · 💤) - Python library for processing Chinese text. MIT 71 | - neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 72 | - vidgear (🥉23 · ⭐ 1.6K · ➕) - High-performance cross-platform Video Processing Python.. Apache-2 73 | - Multicore-TSNE (🥉23 · ⭐ 1.5K · ➕) - Parallel t-SNE implementation with Python and Torch.. BSD-3 74 | - pycm (🥉23 · ⭐ 1K · ➕) - Multi-class confusion matrix library in Python. MIT 75 | - livelossplot (🥉23 · ⭐ 1K · ➕) - Live training loss plot in Jupyter Notebook for Keras,.. MIT 76 | - TabPy (🥉23 · ⭐ 1K · ➕) - Execute Python code on the fly and display results in Tableau.. MIT 77 | - stockstats (🥉23 · ⭐ 690 · ➕) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 78 | - tinytag (🥉23 · ⭐ 430 · ➕) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA.. MIT 79 | - random-forest-importances (🥈23 · ⭐ 400 · ➕) - Code to compute permutation and drop-column.. MIT 80 | - messytables (🥉23 · ⭐ 360 · 💀) - Tools for parsing messy tabular data. This is now superseded by.. MIT 81 | - m2cgen (🥈22 · ⭐ 1.7K · ➕) - Transform ML models into a native code (Java, C, Python, Go,.. MIT 82 | - scikit-opt (🥉22 · ⭐ 1.7K · ➕) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT 83 | - fklearn (🥉22 · ⭐ 1.3K · ➕) - fklearn: Functional Machine Learning. Apache-2 84 | - fancyimpute (🥉22 · ⭐ 910 · ➕) - Multivariate imputation and matrix completion.. Apache-2 85 | - minisom (🥉22 · ⭐ 750 · ➕) - MiniSom is a minimalistic implementation of the Self.. ❗️CC-BY-3.0 86 | - kapre (🥉22 · ⭐ 690 · ➕) - kapre: Keras Audio Preprocessors. MIT 87 | - pingouin (🥉22 · ⭐ 610 · ➕) - Statistical package in Python based on Pandas. ❗️GPL-3.0 88 | - CellProfiler (🥉22 · ⭐ 530 · ➕) - An open-source application for biological image analysis. BSD-3 89 | - python-ternary (🥉22 · ⭐ 380 · ➕) - Ternary plotting library for python with matplotlib. MIT 90 | - scikit-lego (🥉22 · ⭐ 370 · ➕) - Extra blocks for scikit-learn pipelines. MIT 91 | - lore (🥉21 · ⭐ 1.5K · 💤) - Lore makes machine learning approachable for Software Engineers and.. MIT 92 | - fairlearn (🥉21 · ⭐ 650 · ➕) - A Python package to assess and improve fairness of machine.. MIT 93 | - optunity (🥉21 · ⭐ 360 · 💤) - optimization routines for hyperparameter tuning. BSD-3 94 | - aequitas (🥉21 · ⭐ 340 · ➕) - Bias and Fairness Audit Toolkit. MIT 95 | - joypy (🥉21 · ⭐ 310 · ➕) - Joyplots in Python with matplotlib & pandas. MIT 96 | - datatest (🥉21 · ⭐ 230 · ➕) - Tools for test driven data-wrangling and data validation. Apache-2 97 | - scikit-posthocs (🥉21 · ⭐ 170 · ➕) - Pairwise Multiple Comparisons (Post Hoc) Tests in.. MIT 98 | - dpark (🥉20 · ⭐ 2.6K · ➕) - Python clone of Spark, a MapReduce alike framework in Python. BSD-3 99 | - image-match (🥉20 · ⭐ 2.5K · ➕) - Quickly search over billions of images. Apache-2 100 | - gpt-2-simple (🥉20 · ⭐ 2.4K · 💤) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT 101 | - pdftabextract (🥉20 · ⭐ 1.9K · 💀) - A set of tools for extracting tables from PDF files.. Apache-2 102 | - hiddenlayer (🥉20 · ⭐ 1.4K · 💤) - Neural network graphs and training metrics for.. MIT 103 | - checklist (🥉20 · ⭐ 1.2K · ➕) - Beyond Accuracy: Behavioral Testing of NLP models with.. MIT 104 | - fastFM (🥉20 · ⭐ 890 · 💤) - fastFM: A Library for Factorization Machines. BSD-3 105 | - pyts (🥉20 · ⭐ 850 · 💤) - A Python package for time series classification. BSD-3 106 | - mrq (🥉20 · ⭐ 830 · ➕) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. MIT 107 | - rows (🥉20 · ⭐ 730 · ➕) - A common, beautiful interface to tabular data, no matter the format. ❗️LGPL-3.0 108 | - bambi (🥉20 · ⭐ 540 · ➕) - BAyesian Model-Building Interface (Bambi) in Python. MIT 109 | - deeplift (🥉20 · ⭐ 500 · ➕) - Public facing deeplift repo. MIT 110 | - pydlm (🥉20 · ⭐ 350 · 💀) - A python library for Bayesian time series modeling. BSD-3 111 | - skope-rules (🥉20 · ⭐ 350 · ➕) - machine learning with logical rules in Python. ❗️BSD-1-Clause 112 | - scikit-rebate (🥉20 · ⭐ 300 · ➕) - A scikit-learn-compatible Python implementation of.. MIT 113 | - impyute (🥉20 · ⭐ 260 · 💀) - Data imputations library to preprocess datasets with missing data. MIT 114 | - explainerdashboard (🥉20 · ⭐ 240 · ➕) - Quickly build Explainable AI dashboards that show the.. MIT 115 | - vit-pytorch (🥉19 · ⭐ 2.2K · 🐣) - Implementation of Vision Transformer, a simple way to.. MIT 116 | - tf-quant-finance (🥉19 · ⭐ 1.4K · ➕) - High-performance TensorFlow library for quantitative.. Apache-2 117 | - tffm (🥉19 · ⭐ 760 · 💤) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT 118 | - matrixprofile-ts (🥉19 · ⭐ 600 · 💤) - A Python library for detecting patterns and anomalies.. Apache-2 119 | - iterative-stratification (🥉19 · ⭐ 490 · ➕) - scikit-learn cross validators for iterative.. BSD-3 120 | - lets-plot (🥉19 · ⭐ 470 · ➕) - An open-source plotting library for statistical data. MIT 121 | - animatplot (🥉19 · ⭐ 350 · ➕) - A python package for animating plots build on matplotlib. MIT 122 | - rrcf (🥉19 · ⭐ 270 · 💤) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT 123 | - scikit-tda (🥉19 · ⭐ 260 · ➕) - Topological Data Analysis for Python. MIT 124 | - quinn (🥉19 · ⭐ 200 · ➕) - pyspark methods to enhance developer productivity. Apache-2 125 | - spark-deep-learning (🥉18 · ⭐ 1.8K · ➕) - Deep Learning Pipelines for Apache Spark. Apache-2 126 | - DALEX (🥉18 · ⭐ 750 · ➕) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 127 | - robustness (🥉18 · ⭐ 450 · ➕) - A library for experimenting with, training and evaluating neural.. MIT 128 | - lazypredict (🥉18 · ⭐ 300 · ➕) - Lazy Predict help build a lot of basic models without much.. MIT 129 | - DESlib (🥉18 · ⭐ 290 · ➕) - A Python library for dynamic classifier and ensemble selection. BSD-3 130 | - ivis (🥉18 · ⭐ 220 · ➕) - Dimensionality reduction in very large datasets using Siamese.. ❗️GPL-2.0 131 | - skift (🥉18 · ⭐ 210 · ➕) - scikit-learn wrappers for Python fastText. MIT 132 | - fairness-indicators (🥉18 · ⭐ 170 · ➕) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2 133 | - flupy (🥉18 · ⭐ 150 · ➕) - Fluent data pipelines for python and your shell. MIT 134 | - ploomber (🥉18 · ⭐ 110 · ➕) - A convention over configuration workflow orchestrator. Develop.. Apache-2 135 | - TTS (🥉17 · ⭐ 3K · ➕) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 136 | - sklearn-deap (🥉17 · ⭐ 620 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT 137 | - atspy (🥉17 · ⭐ 320 · ➕) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT 138 | - pandas-ml (🥉17 · ⭐ 260 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 139 | - somoclu (🥉17 · ⭐ 220 · ➕) - Massively parallel self-organizing maps: accelerate training on.. MIT 140 | - skggm (🥉17 · ⭐ 180 · ➕) - Scikit-learn compatible estimation of general graphical models. MIT 141 | - tcav (🥉16 · ⭐ 420 · ➕) - Code for the TCAV ML interpretability project. Apache-2 142 | - tfdeploy (🥉16 · ⭐ 350 · ➕) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 143 | - pytorch_geometric_temporal (🥉16 · ⭐ 310 · ➕) - A Temporal Extension Library for PyTorch Geometric. MIT 144 | - aim (🥉15 · ⭐ 670 · ➕) - Aim a super-easy way to record, search and compare 1000s of ML.. Apache-2 145 | - AutoGL (🥉15 · ⭐ 560 · 🐣) - An autoML framework & toolkit for machine learning on graphs. MIT 146 | - zenml (🥉15 · ⭐ 370 · 🐣) - ZenML: Bring Zen to your ML with reproducible pipelines. Apache-2 147 | - model-card-toolkit (🥉15 · ⭐ 150 · 🐣) - a tool that leverages rich metadata and lineage.. Apache-2 148 | - textvec (🥉14 · ⭐ 150 · ➕) - Text vectorization tool to outperform TFIDF for classification.. MIT 149 | - contextual-ai (🥉13 · ⭐ 65 · ➕) - Contextual AI adds explainability to different stages of.. Apache-2 150 | - surpriver (🥉11 · ⭐ 1K · 🐣) - Find big moving stocks before they move using machine learning.. ❗️GPL-3.0 151 | 152 | -------------------------------------------------------------------------------- /history/2021-01-17_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - Pillow (🥇39 · ⭐ 8.1K · 📈) - The friendly PIL fork (Python Imaging Library). ❗️PIL 6 | - python-magic (🥈31 · ⭐ 1.8K · 📈) - A python wrapper for libmagic. MIT 7 | - fastText (🥇30 · ⭐ 22K · 📈) - Library for fast text representation and classification. MIT 8 | - PyOD (🥇29 · ⭐ 4K · 📈) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). BSD-2 9 | - Tokenizers (🥈28 · ⭐ 4.2K · 📈) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 10 | - imutils (🥈28 · ⭐ 3.5K · 📈) - A series of convenience functions to make basic image processing.. MIT 11 | - arviz (🥇28 · ⭐ 930 · 📈) - Exploratory analysis of Bayesian models with Python. Apache-2 12 | - Dagster (🥈27 · ⭐ 2.8K · 📈) - A data orchestrator for machine learning, analytics, and ETL. Apache-2 13 | - Jina (🥈27 · ⭐ 1.9K · 📈) - An easier way to build neural search in the cloud. Apache-2 14 | - zarr (🥉27 · ⭐ 620 · 📈) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - pandas (🥇42 · ⭐ 28K · 📉) - Flexible and powerful data analysis / manipulation library for.. BSD-3 21 | - Tesseract (🥇29 · ⭐ 3.4K · 📉) - Python-tesseract is an optical character recognition (OCR).. Apache-2 22 | - SageMaker SDK (🥈29 · ⭐ 1.3K · 📉) - A library for training and deploying machine learning.. Apache-2 23 | - Flax (🥉27 · ⭐ 1.4K · 📉) - Flax is a neural network ecosystem for JAX that is designed for.. Apache-2 jax 24 | - Dopamine (🥈26 · ⭐ 9.3K · 📉) - Dopamine is a research framework for fast prototyping of.. Apache-2 25 | - Ludwig (🥉25 · ⭐ 7.4K · 📉) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2 26 | - Captum (🥈25 · ⭐ 2.1K · 📉) - Model interpretability and understanding for PyTorch. BSD-3 27 | - Stable Baselines (🥈24 · ⭐ 2.8K · 📉) - A fork of OpenAI Baselines, implementations of.. MIT 28 | - Singer (🥉23 · ⭐ 670 · 📉) - Standard for moving data between databases, web APIs, files,.. ❗️AGPL-3.0 29 | - neon (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 30 | 31 | ## ➕ Added Projects 32 | 33 | _Projects that were recently added to this best-of list._ 34 | 35 | - sentence-transformers (🥈28 · ⭐ 3.9K · ➕) - Multilingual Sentence Embeddings using BERT / RoBERTa.. Apache-2 bert xlnet 36 | - Gradio (🥉23 · ⭐ 1.9K · ➕) - Wrap UIs around any model, share with anyone. Apache-2 37 | - Cornac (🥈22 · ⭐ 300 · ➕) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 38 | - Caer (🥉21 · ⭐ 310 · 🐣) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT 39 | - FiftyOne (🥉18 · ⭐ 180 · ➕) - Visualize, create, and debug image and video datasets.. Apache-2 40 | - celer (🥉17 · ⭐ 100 · ➕) - Fast sklearn solvers for sparse problems (group Lasso, adaptive.. BSD-3 41 | - imodels (🥉16 · ⭐ 140 · ➕) - Interpretable ML package for concise, transparent, and accurate.. MIT 42 | 43 | -------------------------------------------------------------------------------- /history/2021-01-21_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - Tesseract (🥇30 · ⭐ 3.4K · 📈) - Python-tesseract is an optical character recognition (OCR).. Apache-2 6 | - SageMaker SDK (🥇30 · ⭐ 1.3K · 📈) - A library for training and deploying machine learning.. Apache-2 7 | - Bottleneck (🥈29 · ⭐ 570 · 📈) - Fast NumPy array functions written in C. BSD-2 8 | - OpenNMT (🥈28 · ⭐ 4.8K · 📈) - Open Source Neural Machine Translation in PyTorch. MIT 9 | - dyNET (🥉28 · ⭐ 3.2K · 📈) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 10 | - tslearn (🥇28 · ⭐ 1.4K · 📈) - A machine learning toolkit dedicated to time-series data. BSD-2 11 | - PDFMiner (🥉27 · ⭐ 4.5K · 💤) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT 12 | - ftfy (🥈26 · ⭐ 2.9K · 📈) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT 13 | - Pythran (🥈26 · ⭐ 1.5K · 📈) - Ahead of Time compiler for numeric kernels. BSD-3 14 | - Larq Compute Engine (🥉17 · ⭐ 120 · 📈) - Highly optimized inference engine for Binarized.. Apache-2 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - scikit-optimize (🥇30 · ⭐ 2K · 📉) - Sequential model-based optimization with a.. BSD-3 21 | - TPOT (🥇29 · ⭐ 7.8K · 📉) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 22 | - featuretools (🥈27 · ⭐ 5.3K · 📉) - An open source python library for automated feature.. BSD-3 23 | - pyLDAvis (🥇27 · ⭐ 1.4K · 📉) - Python library for interactive topic model visualization... BSD-3 24 | - espnet (🥉24 · ⭐ 3.3K · 📉) - End-to-End Speech Processing Toolkit. Apache-2 25 | - Essentia (🥉22 · ⭐ 1.7K · 📉) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 26 | - GPUtil (🥈22 · ⭐ 660 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT 27 | - hiddenlayer (🥉19 · ⭐ 1.4K · 💤) - Neural network graphs and training metrics for.. MIT 28 | - finetune (🥉19 · ⭐ 630 · 📉) - Scikit-learn style model finetuning for NLP. MPL-2.0 29 | - scikit-rebate (🥉19 · ⭐ 300 · 📉) - A scikit-learn-compatible Python implementation of.. MIT 30 | 31 | ## ➕ Added Projects 32 | 33 | _Projects that were recently added to this best-of list._ 34 | 35 | - PyFlink (🥈33 · ⭐ 15K · ➕) - Apache Flink Python API. Apache-2 36 | - pydeck (🥇33 · ⭐ 8.3K · ➕) - WebGL2 powered geospatial visualization layers. MIT 37 | - openpyxl (🥉22 · ⭐ 17 · ➕) - A Python library to read/write Excel 2010 xlsx/xlsm files. MIT 38 | - Objax (🥉18 · ⭐ 550 · 🐣) - Objax is a machine learning framework that provides an Object.. Apache-2 jax 39 | - Vulkan Kompute (🥉16 · ⭐ 290 · 🐣) - General purpose GPU compute framework for cross vendor.. Apache-2 40 | - pyRDF2Vec (🥉15 · ⭐ 79 · ➕) - Python Implementation and Extension of RDF2Vec. MIT 41 | 42 | -------------------------------------------------------------------------------- /history/2021-01-28_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - AllenNLP (🥇32 · ⭐ 9.6K · 📈) - An open-source NLP research library, built on PyTorch. Apache-2 6 | - GeoPandas (🥈31 · ⭐ 2.4K · 📈) - Python tools for geographic data. BSD-3 7 | - snowballstemmer (🥇30 · ⭐ 470 · 📈) - Snowball compiler and stemming algorithms. BSD-3 8 | - dbt (🥈29 · ⭐ 2.4K · 📈) - dbt (data build tool) enables data analysts and engineers to.. Apache-2 9 | - Pyro (🥈28 · ⭐ 6.7K · 📈) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 10 | - faust (🥈28 · ⭐ 5.2K · 📈) - Python Stream Processing. BSD-3 11 | - stanza (🥈28 · ⭐ 5.1K · 📈) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 12 | - CleverHans (🥇27 · ⭐ 4.9K · 📈) - An adversarial example library for constructing attacks,.. MIT 13 | - contextual-ai (🥉15 · ⭐ 66 · 📈) - Contextual AI adds explainability to different stages of.. Apache-2 14 | - ONNX-T5 (🥉13 · ⭐ 140 · 🐣) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - scikit-learn (🥇37 · ⭐ 44K · 📉) - scikit-learn: machine learning in Python. BSD-3 21 | - dlib (🥈32 · ⭐ 9.8K · 📉) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 22 | - Rasa (🥈28 · ⭐ 11K · 📉) - Open source machine learning framework to automate text- and.. Apache-2 23 | - MNE (🥈27 · ⭐ 1.5K · 📉) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in.. BSD-3 24 | - DeepSpeech (🥈25 · ⭐ 16K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 25 | - tslearn (🥈25 · ⭐ 1.5K · 📉) - A machine learning toolkit dedicated to time-series data. BSD-2 26 | - arviz (🥈25 · ⭐ 940 · 📉) - Exploratory analysis of Bayesian models with Python. Apache-2 27 | - tensorly (🥉21 · ⭐ 950 · 📉) - TensorLy: Tensor Learning in Python. BSD-2 28 | - STUMPY (🥉20 · ⭐ 1.6K · 📉) - STUMPY is a powerful and scalable Python library for computing a.. BSD-3 29 | - gokart (🥉19 · ⭐ 160 · 📉) - A wrapper of the data pipeline library luigi. MIT 30 | 31 | ## ➕ Added Projects 32 | 33 | _Projects that were recently added to this best-of list._ 34 | 35 | - D-Tale (🥉21 · ⭐ 2K · ➕) - Visualizer for pandas data structures. ❗️LGPL-2.1 36 | - CausalNex (🥉19 · ⭐ 950 · ➕) - A Python library that helps data scientists to infer.. Apache-2 37 | - Mozart (🥉10 · ⭐ 220 · 🐣) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 38 | 39 | -------------------------------------------------------------------------------- /history/2021-02-04_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - DeepSpeech (🥇31 · ⭐ 16K · 📈) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 6 | - PaddlePaddle (🥈30 · ⭐ 14K · 📈) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 7 | - UMAP (🥈30 · ⭐ 4.5K · 📈) - Uniform Manifold Approximation and Projection. BSD-3 8 | - hdbscan (🥇28 · ⭐ 1.8K · 📈) - A high performance implementation of HDBSCAN clustering. BSD-3 9 | - Datasette (🥈27 · ⭐ 4.6K · 📈) - An open source multi-tool for exploring and publishing data. Apache-2 10 | - hnswlib (🥈26 · ⭐ 1.3K · 📈) - Header-only C++/python library for fast approximate nearest.. Apache-2 11 | - PyNNDescent (🥉23 · ⭐ 370 · 📈) - A Python nearest neighbor descent for approximate nearest.. BSD-2 12 | - TTS (🥉20 · ⭐ 3.2K · 📈) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 13 | - Objax (🥉19 · ⭐ 560 · 🐣) - Objax is a machine learning framework that provides an Object.. Apache-2 jax 14 | - ONNX-T5 (🥉15 · ⭐ 140 · 🐣) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - xmltodict (🥈30 · ⭐ 4.3K · 💤) - Python module that makes working with XML feel like you are.. MIT 21 | - PyStan (🥉24 · ⭐ 910 · 📉) - Temporary home for PyStan version 3. Documentation: https://pystan-.. ISC 22 | - dask-ml (🥈24 · ⭐ 680 · 📉) - Scalable Machine Learning with Dask. BSD-3 23 | - EfficientNets (🥈20 · ⭐ 1.2K · 📉) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 24 | - MLBox (🥉20 · ⭐ 1.2K · 📉) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause 25 | - EarthPy (🥉20 · ⭐ 220 · 📉) - A package built to support working with spatial data using open.. BSD-3 26 | - Caer (🥉19 · ⭐ 420 · 🐣) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT 27 | - Paddle Graph Learning (🥉17 · ⭐ 890 · 📉) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 28 | - Lambda Networks (🥉15 · ⭐ 1.3K · 🐣) - Implementation of LambdaNetworks, a new approach to.. MIT 29 | - PandaPy (🥉13 · ⭐ 470 · 📉) - PandaPy has the speed of NumPy and the usability of Pandas 10x to.. MIT 30 | 31 | -------------------------------------------------------------------------------- /history/2021-02-18_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - Seaborn (🥇37 · ⭐ 8.1K · 📈) - Statistical data visualization using matplotlib. BSD-3 6 | - imbalanced-learn (🥇31 · ⭐ 5K · 📈) - A Python Package to Tackle the Curse of Imbalanced.. MIT 7 | - arch (🥈25 · ⭐ 640 · 📈) - ARCH models in Python. ❗️NCSA 8 | - PyNNDescent (🥈25 · ⭐ 370 · 📈) - A Python nearest neighbor descent for approximate nearest.. BSD-2 9 | - AstroML (🥈24 · ⭐ 730 · 📈) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 10 | - Caer (🥉23 · ⭐ 430 · 🐣) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT 11 | - NIPY (🥈22 · ⭐ 290 · 📈) - Neuroimaging in Python FMRI analysis package. BSD-3 12 | - lazypredict (🥉21 · ⭐ 380 · 📈) - Lazy Predict help build a lot of basic models without much.. MIT 13 | - quinn (🥉21 · ⭐ 210 · 📈) - pyspark methods to enhance developer productivity. Apache-2 14 | - DESlib (🥉20 · ⭐ 310 · 📈) - A Python library for dynamic classifier and ensemble selection. BSD-3 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - pandas (🥇40 · ⭐ 29K · 📉) - Flexible and powerful data analysis / manipulation library for.. BSD-3 21 | - Ray (🥇32 · ⭐ 15K · 📉) - An open source framework that provides a simple, universal API for.. Apache-2 22 | - mlflow (🥇32 · ⭐ 8.4K · 📉) - Open source platform for the machine learning lifecycle. Apache-2 23 | - tensor2tensor (🥇31 · ⭐ 11K · 📉) - Library of deep learning models and datasets designed.. Apache-2 24 | - horovod (🥈29 · ⭐ 11K · 📉) - Distributed training framework for TensorFlow, Keras, PyTorch,.. Apache-2 25 | - Nilearn (🥇29 · ⭐ 700 · 📉) - Machine learning for NeuroImaging in Python. BSD-3 26 | - Faiss (🥇28 · ⭐ 12K · 📉) - A library for efficient similarity search and clustering of dense vectors. MIT 27 | - DeepSpeech (🥉24 · ⭐ 16K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 28 | - PyStan (🥉21 · ⭐ 35 · 📉) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC 29 | - pymap3d (🥉19 · ⭐ 180 · 📉) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 30 | 31 | ## ➕ Added Projects 32 | 33 | _Projects that were recently added to this best-of list._ 34 | 35 | - data-describe (🥉14 · ⭐ 250 · ➕) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 36 | - bias-detector (🥉10 · ⭐ 15 · ➕) - Bias Detector is a python package for detecting bias in machine.. MIT 37 | 38 | -------------------------------------------------------------------------------- /history/2021-02-25_changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - torchvision (🥇36 · ⭐ 8.4K · 📈) - Datasets, Transforms and Models specific to Computer.. BSD-3 6 | - TensorFlow Datasets (🥇32 · ⭐ 2.7K · 📈) - TFDS is a collection of datasets ready to use with.. Apache-2 7 | - DeepSpeech (🥇31 · ⭐ 17K · 📈) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 8 | - fairseq (🥇31 · ⭐ 11K · 📈) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT 9 | - Autograd (🥇30 · ⭐ 5.1K · 💀) - Efficiently computes derivatives of numpy code. MIT 10 | - pythreejs (🥉26 · ⭐ 700 · 📈) - A Jupyter - Three.js bridge. BSD-3 11 | - PyFlux (🥈23 · ⭐ 1.8K · 💀) - Open source time series library for Python. BSD-3 12 | - Torchbearer (🥉20 · ⭐ 580 · 📈) - torchbearer: A model fitting library for PyTorch. MIT 13 | - pandas-ml (🥉19 · ⭐ 270 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 14 | - Orbit (🥉18 · ⭐ 330 · 📈) - Bayesian forecasting with object-oriented design and probabilistic.. Apache-2 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - scikit-image (🥇32 · ⭐ 4.2K · 📉) - Image processing in Python. BSD-2 21 | - mrjob (🥈29 · ⭐ 2.5K · 📉) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2 22 | - fastText (🥈27 · ⭐ 22K · 💤) - Library for fast text representation and classification. MIT 23 | - Datasette (🥈26 · ⭐ 4.7K · 📉) - An open source multi-tool for exploring and publishing data. Apache-2 24 | - inflect (🥈26 · ⭐ 480 · 📉) - Correctly generate plurals, ordinals, indefinite articles; convert.. MIT 25 | - featuretools (🥈25 · ⭐ 5.4K · 📉) - An open source python library for automated feature.. BSD-3 26 | - tabulator-py (🥉25 · ⭐ 200 · 📉) - Python library for reading and writing tabular data via streams. MIT 27 | - arch (🥉23 · ⭐ 650 · 📉) - ARCH models in Python. ❗️NCSA 28 | - TensorWatch (🥉22 · ⭐ 3K · 📉) - Debugging, monitoring and visualization for Python Machine.. MIT 29 | - AstroML (🥉22 · ⭐ 730 · 📉) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 30 | 31 | -------------------------------------------------------------------------------- /latest-changes.md: -------------------------------------------------------------------------------- 1 | ## 📈 Trending Up 2 | 3 | _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ 4 | 5 | - torchvision (🥇36 · ⭐ 8.4K · 📈) - Datasets, Transforms and Models specific to Computer.. BSD-3 6 | - TensorFlow Datasets (🥇32 · ⭐ 2.7K · 📈) - TFDS is a collection of datasets ready to use with.. Apache-2 7 | - DeepSpeech (🥇31 · ⭐ 17K · 📈) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 8 | - fairseq (🥇31 · ⭐ 11K · 📈) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT 9 | - Autograd (🥇30 · ⭐ 5.1K · 💀) - Efficiently computes derivatives of numpy code. MIT 10 | - pythreejs (🥉26 · ⭐ 700 · 📈) - A Jupyter - Three.js bridge. BSD-3 11 | - PyFlux (🥈23 · ⭐ 1.8K · 💀) - Open source time series library for Python. BSD-3 12 | - Torchbearer (🥉20 · ⭐ 580 · 📈) - torchbearer: A model fitting library for PyTorch. MIT 13 | - pandas-ml (🥉19 · ⭐ 270 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 14 | - Orbit (🥉18 · ⭐ 330 · 📈) - Bayesian forecasting with object-oriented design and probabilistic.. Apache-2 15 | 16 | ## 📉 Trending Down 17 | 18 | _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ 19 | 20 | - scikit-image (🥇32 · ⭐ 4.2K · 📉) - Image processing in Python. BSD-2 21 | - mrjob (🥈29 · ⭐ 2.5K · 📉) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2 22 | - fastText (🥈27 · ⭐ 22K · 💤) - Library for fast text representation and classification. MIT 23 | - Datasette (🥈26 · ⭐ 4.7K · 📉) - An open source multi-tool for exploring and publishing data. Apache-2 24 | - inflect (🥈26 · ⭐ 480 · 📉) - Correctly generate plurals, ordinals, indefinite articles; convert.. MIT 25 | - featuretools (🥈25 · ⭐ 5.4K · 📉) - An open source python library for automated feature.. BSD-3 26 | - tabulator-py (🥉25 · ⭐ 200 · 📉) - Python library for reading and writing tabular data via streams. MIT 27 | - arch (🥉23 · ⭐ 650 · 📉) - ARCH models in Python. ❗️NCSA 28 | - TensorWatch (🥉22 · ⭐ 3K · 📉) - Debugging, monitoring and visualization for Python Machine.. MIT 29 | - AstroML (🥉22 · ⭐ 730 · 📉) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 30 | 31 | --------------------------------------------------------------------------------