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https://github.com/keras-team/tf-keras

Score: 26.56835773453361

Last synced: about 2 hours ago
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Repository metadata:

The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 7,360
Total Committers: 1,198
Avg Commits per committer: 6.144
Development Distribution Score (DDS): 0.738

Commits in past year: 32
Committers in past year: 12
Avg Commits per committer in past year: 2.667
Development Distribution Score (DDS) in past year: 0.688

Name Email Commits
Francois Chollet f****t@g****m 1926
Scott Zhu s****u@g****m 379
A. Unique TensorFlower g****r@t****g 227
Fariz Rahman f****u@g****m 207
Taehoon Lee m****e@t****m 163
Chen Qian c****y@g****m 129
Gabriel de Marmiesse g****e@g****m 127
Haifeng Jin h****j@g****m 115
Oleg Zabluda o****a@g****m 107
Samuel Marks 8****s 95
Matt Watson m****w@g****m 88
Rick Chao r****o@g****m 72
Neel Kovelamudi n****a@g****m 62
Max Pumperla m****a@g****m 62
EderSantana e****r@m****m 61
Kaan Bıçakcı k****r@g****m 61
Thomas McColgan t****n@g****m 57
Ramesh Sampath r****h@g****m 57
Xavier Snelgrove x****r@w****m 49
Fabien Hertschuh f****h@g****m 48
Frédéric Branchaud-Charron f****n@u****a 39
Michael Oliver m****r@g****m 36
Pavithra Vijay p****v@g****m 36
nzw k****w@k****p 35
Katherine Wu k****u@g****m 35
Sachin Prasad s****d@g****m 34
hazemessamm h****9@g****m 33
Surya Prakash Mishra m****3@g****m 32
Luke Wood l****d@g****m 30
Abhai Kollara Dilip a****p@g****m 29
and 1168 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 188
Total pull requests: 282
Average time to close issues: over 1 year
Average time to close pull requests: 11 days
Total issue authors: 165
Total pull request authors: 24
Average comments per issue: 8.29
Average comments per pull request: 0.24
Merged pull request: 134
Bot issues: 1
Bot pull requests: 217

Past year issues: 1
Past year pull requests: 32
Past year average time to close issues: N/A
Past year average time to close pull requests: 17 days
Past year issue authors: 1
Past year pull request authors: 7
Past year average comments per issue: 3.0
Past year average comments per pull request: 0.03
Past year merged pull request: 20
Past year bot issues: 0
Past year bot pull requests: 27

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/keras-team/tf-keras

Top Issue Authors

  • innat (5)
  • Chizkiyahu (4)
  • fchollet (3)
  • jonas-eschle (3)
  • AshwinJay101 (2)
  • andreped (2)
  • Zahlii (2)
  • sjh0849 (2)
  • mergian (2)
  • shkarupa-alex (2)
  • DachuanZhao (2)
  • maybeLee (2)
  • cofri (2)
  • sachinprasadhs (2)
  • vrunm (2)

Top Pull Request Authors

  • copybara-service[bot] (212)
  • sampathweb (21)
  • SuryanarayanaY (8)
  • dependabot[bot] (5)
  • RenuPatelGoogle (4)
  • thesahibnanda (4)
  • pnacht (3)
  • hertschuh (3)
  • singhniraj08 (2)
  • tilakrayal (2)
  • jonas-eschle (2)
  • MartinNowak (2)
  • kiraksi (2)
  • rodriguesk (2)
  • iazzi (1)

Top Issue Labels

  • stat:awaiting response from contributor (132)
  • stale (101)
  • type:bug (62)
  • type:feature (51)
  • stat:awaiting keras-eng (12)
  • type:docs (6)
  • stat:contributions welcome (4)
  • type:performance (3)
  • keras-team-review-pending (1)
  • size:XS (1)
  • wontfix (1)

Top Pull Request Labels

  • size:XS (107)
  • size:S (57)
  • size:M (27)
  • size:L (22)
  • ready to pull (8)
  • stat:awaiting response from contributor (5)
  • dependencies (5)
  • python (3)
  • size:XL (3)
  • stale (3)
  • keras-team-review-pending (2)
  • stat:awaiting keras-eng (2)
  • cla: yes (1)

Package metadata

proxy.golang.org: github.com/keras-team/tf-keras

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/keras-team/tf-keras#section-documentation
  • Licenses: apache-2.0
  • Latest release: v2.21.0+incompatible (published 8 months ago)
  • Last Synced: 2026-11-02T00:02:17.663Z (1 day ago)
  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.262%
    • Average: 4.408%
    • Dependent repos count: 4.553%
pypi.org: tf-keras

Deep learning for humans.

  • Homepage: https://keras.io/
  • Documentation: https://tf-keras.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 2.21.0 (published 8 months ago)
  • Last Synced: 2026-11-02T00:02:13.437Z (1 day ago)
  • Versions: 23
  • Dependent Packages: 21
  • Dependent Repositories: 1
  • Downloads: 1,420,912 Last month
  • Rankings:
    • Dependent packages count: 7.373%
    • Stargazers count: 13.364%
    • Average: 14.702%
    • Downloads: 15.114%
    • Forks count: 15.426%
    • Dependent repos count: 22.233%
  • Maintainers (4)
pypi.org: tf-keras-nightly

Deep learning for humans.

  • Homepage: https://keras.io/
  • Documentation: https://tf-keras-nightly.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.0.0 (published about 3 years ago)
  • Last Synced: 2026-11-02T10:00:14.782Z (about 22 hours ago)
  • Versions: 998
  • Dependent Packages: 7
  • Dependent Repositories: 0
  • Downloads: 72,906 Last month
  • Rankings:
    • Dependent packages count: 7.373%
    • Stargazers count: 13.364%
    • Forks count: 15.426%
    • Average: 26.258%
    • Dependent repos count: 68.868%
  • Maintainers (4)
spack.io: py-tf-keras

The TF-Keras library is a pure TensorFlow implementation of Keras, based on the legacy tf.keras codebase. Note that the "main" version of Keras is now Keras 3 (formerly Keras Core), which is a multi-backend implementation of Keras, supporting JAX, PyTorch, and TensorFlow. Keras 3 is being developed at keras-team/keras.

  • Homepage: https://github.com/keras-team/tf-keras
  • Licenses: []
  • Latest release: 2.18.0 (published over 1 year ago)
  • Last Synced: 2026-11-02T00:02:19.100Z (1 day ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Average: 27.662%
    • Dependent packages count: 55.324%
  • Maintainers (1)
anaconda.org: tf-keras

Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. Keras also gives the highest priority to crafting great documentation and developer guides.

  • Homepage: https://keras.io/
  • Licenses: Apache-2.0
  • Latest release: 2.21.0 (published 3 months ago)
  • Last Synced: 2026-08-07T06:54:15.071Z (3 months ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 583 Total
  • Rankings:
    • Dependent packages count: 43.243%
    • Average: 45.392%
    • Dependent repos count: 47.541%

Dependencies

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requirements.txt pypi
  • Pillow *
  • black ==22.3.0
  • flake8 ==4.0.1
  • isort ==5.10.1
  • numpy *
  • pandas *
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  • protobuf ==3.20.3
  • pydot *
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  • scipy *
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tf_keras/tools/pip_package/setup.py pypi
requirements.in pypi
  • Pillow *
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  • isort ==5.10.1
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  • nvidia-cuda-cupti-cu12 ==12.5.82
  • nvidia-cuda-nvcc-cu12 ==12.5.82
  • nvidia-cuda-nvrtc-cu12 ==12.5.82
  • nvidia-cuda-runtime-cu12 ==12.5.82
  • nvidia-cudnn-cu12 ==9.3.0.75
  • nvidia-cufft-cu12 ==11.2.3.61
  • nvidia-curand-cu12 ==10.3.6.82
  • nvidia-cusolver-cu12 ==11.6.3.83
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requirements_lock_3_10.txt pypi
  • absl-py ==2.4.0
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  • grpcio ==1.76.0
  • h5py ==3.14.0
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  • keras-nightly ==3.12.0.dev2025100703
  • libclang ==18.1.1
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  • nvidia-cuda-nvcc-cu12 ==12.5.82
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  • nvidia-cuda-runtime-cu12 ==12.5.82
  • nvidia-cudnn-cu12 ==9.3.0.75
  • nvidia-cufft-cu12 ==11.2.3.61
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  • nvidia-cusolver-cu12 ==11.6.3.83
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  • nvidia-nccl-cu12 ==2.25.1
  • nvidia-nvjitlink-cu12 ==12.5.82
  • opt-einsum ==3.4.0
  • optree ==0.18.0
  • packaging ==26.0
  • pandas ==2.3.3
  • pathspec ==1.0.4
  • pillow ==12.1.0
  • platformdirs ==4.5.1
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  • protobuf ==6.33.5
  • psutil ==7.2.2
  • pycodestyle ==2.8.0
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  • pyflakes ==2.4.0
  • pygments ==2.19.2
  • pyparsing ==3.3.2
  • pyproject-hooks ==1.2.0
  • python-dateutil ==2.9.0.post0
  • pytz ==2025.2
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  • rich ==14.3.2
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  • setuptools ==80.10.2
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  • tensorboard-data-server ==0.7.2
  • tensorflow-io ==0.37.1
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  • tf-nightly ==2.21.0.dev20260203
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  • wheel ==0.46.3
  • wrapt ==2.1.1