https://github.com/keras-team/keras
data-science deep-learning jax machine-learning neural-networks python pytorch tensorflow
Score: 39.276409139105134
Last synced: about 8 hours ago
JSON representation
Repository metadata:
Deep Learning for humans
- Host: GitHub
- URL: https://github.com/keras-team/keras
- Owner: keras-team
- License: apache-2.0
- Created: 2015-03-28T00:35:42.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2026-08-21T23:10:41.000Z (4 days ago)
- Last Synced: 2026-08-22T12:10:22.827Z (3 days ago)
- Topics: data-science, deep-learning, jax, machine-learning, neural-networks, python, pytorch, tensorflow
- Language: Python
- Homepage: http://keras.io/
- Size: 53.2 MB
- Stars: 64,245
- Watchers: 1,850
- Forks: 19,760
- Open Issues: 232
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md
Owner metadata:
- Name: Keras
- Login: keras-team
- Email: keras-users@googlegroups.com
- Kind: organization
- Description: Deep Learning for humans
- Website: https://keras.io/
- Location: Worldwide
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/34455048?v=4
- Repositories: 19
- Last Synced at: 2024-03-25T20:24:13.957Z
- Profile URL: https://github.com/keras-team
Committers metadata
Last synced: 5 days ago
Total Commits: 11,381
Total Committers: 1,495
Avg Commits per committer: 7.613
Development Distribution Score (DDS): 0.72
Commits in past year: 972
Committers in past year: 146
Avg Commits per committer in past year: 6.658
Development Distribution Score (DDS) in past year: 0.82
| Name | Commits | |
|---|---|---|
| Francois Chollet | f****t@g****m | 3188 |
| Scott Zhu | s****u@g****m | 422 |
| hertschuh | 1****h | 417 |
| Hongyu, Chiu | 2****8 | 232 |
| Haifeng Jin | 5****n | 212 |
| Fariz Rahman | f****u@g****m | 207 |
| Matt Watson | 1****w | 207 |
| Chen Qian | c****y@g****m | 189 |
| A. Unique TensorFlower | g****r@t****g | 176 |
| Taehoon Lee | m****e@t****m | 164 |
| Gabriel de Marmiesse | g****e@g****m | 127 |
| Ugeun Park | p****4@g****m | 126 |
| Divyashree Sreepathihalli | d****i@g****m | 116 |
| Ramesh Sampath | 1****b | 115 |
| Neel Kovelamudi | n****a@g****m | 114 |
| Oleg Zabluda | o****a@g****m | 107 |
| Samuel Marks | 8****s | 105 |
| Aditya Goyal | 1****5 | 102 |
| Kaan Bıçakcı | 4****a | 77 |
| Rick Chao | r****o@g****m | 75 |
| Max Pumperla | m****a@g****m | 62 |
| EderSantana | e****r@m****m | 61 |
| Thomas McColgan | t****n@g****m | 57 |
| Sachin Prasad | s****d@g****m | 54 |
| rstar327 | r****7@o****m | 54 |
| Faisal Alsrheed | 4****d | 53 |
| Marcos Ashton | 5****h | 49 |
| Xavier Snelgrove | x****r@w****m | 49 |
| Gabriel Rasskin | 4****n | 46 |
| dependabot[bot] | 4****] | 45 |
| and 1465 more... | ||
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 1,609
Total pull requests: 3,469
Average time to close issues: 3 months
Average time to close pull requests: 17 days
Total issue authors: 959
Total pull request authors: 418
Average comments per issue: 4.02
Average comments per pull request: 1.9
Merged pull request: 2,197
Bot issues: 2
Bot pull requests: 248
Past year issues: 124
Past year pull requests: 407
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 12 days
Past year issue authors: 55
Past year pull request authors: 104
Past year average comments per issue: 1.78
Past year average comments per pull request: 2.34
Past year merged pull request: 161
Past year bot issues: 0
Past year bot pull requests: 8
Top Issue Authors
- innat (65)
- pctablet505 (25)
- pass-lin (21)
- fchollet (16)
- shkarupa-alex (15)
- martin-gorner (13)
- jonbarron (13)
- sampathweb (12)
- LarsKue (12)
- pure-rgb (12)
- AGFACBNNR (11)
- DLumi (11)
- emi-research-dl (11)
- dryglicki (11)
- cheyennee (10)
Top Pull Request Authors
- hertschuh (334)
- james77777778 (323)
- shashaka (201)
- copybara-service[bot] (165)
- dependabot[bot] (82)
- Mohamed-Ashraf273 (73)
- sampathweb (72)
- divyashreepathihalli (70)
- mattdangerw (70)
- Faisal-Alsrheed (58)
- pctablet505 (54)
- SuryanarayanaY (52)
- buildwithsuhana (50)
- haifeng-jin (50)
- acsweet (44)
Top Issue Labels
- type:Bug (455)
- stat:awaiting response from contributor (400)
- stale (257)
- type:support (224)
- type:feature (168)
- stat:awaiting keras-eng (82)
- type:bug/performance (73)
- keras-team-review-pending (68)
- backend:torch (45)
- backend:jax (42)
- backend:tensorflow (27)
- type:docs (27)
- stat:contributions welcome (23)
- stat:awaiting keras-team (14)
- To investigate (12)
- ready to pull (12)
- kokoro:force-run (11)
- type:performance (10)
- Contributions welcome (9)
- size:S (7)
- awaiting review (7)
- Gemma (7)
- backend:OpenVino (6)
- type:docs-bug (5)
- size:M (4)
- Good first issue (4)
- layers (3)
- size:XS (3)
- dependencies (3)
- type:others (3)
Top Pull Request Labels
- ready to pull (1,090)
- size:S (958)
- size:M (901)
- kokoro:force-run (892)
- size:XS (811)
- awaiting review (505)
- size:L (310)
- stat:awaiting response from contributor (119)
- size:XL (100)
- stat:awaiting keras-eng (89)
- dependencies (82)
- stale (60)
- cla: yes (49)
- github_actions (42)
- python (40)
- keras-team-review-pending (35)
- Gemma (19)
- backend:OpenVino (13)
- stat:awaiting keras-team (4)
- failing internal tests (1)
- backend:tensorflow (1)
Package metadata
- Total packages: 10
-
Total downloads:
- conda: 5,075,562 total
- pypi: 19,134,433 last-month
- Total docker downloads: 1,160,116,090
- Total dependent packages: 650 (may contain duplicates)
- Total dependent repositories: 26,248 (may contain duplicates)
- Total versions: 3,677
- Total maintainers: 5
- Total advisories: 26
pypi.org: keras
Multi-backend Keras
- Homepage: https://keras.io/
- Documentation: https://keras.readthedocs.io/
- Licenses: Apache License 2.0
- Latest release: 3.15.1 (published 27 days ago)
- Last Synced: 2026-08-25T09:14:20.455Z (about 15 hours ago)
- Versions: 125
- Dependent Packages: 587
- Dependent Repositories: 24,558
- Downloads: 18,043,268 Last month
- Docker Downloads: 1,152,731,159
-
Rankings:
- Forks count: 0.03%
- Stargazers count: 0.036%
- Dependent repos count: 0.048%
- Dependent packages count: 0.052%
- Downloads: 0.067%
- Average: 0.082%
- Docker downloads count: 0.261%
- Maintainers (4)
-
Advisories:
- Keras: HDF5 links can disclose local file contents
- Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data
- Keras: tar extraction permits symlink-based path traversal
- Keras: Lambda deserialization can bypass safe mode and execute code
- Keras: HDF5 virtual datasets can disclose local files
- Keras: DiskIOStore permits path traversal through crafted layer names
- Keras archive extraction utilities allow path traversal and arbitrary file writes
- Keras vulnerable to DoS via Malicious .keras Model (HDF5 Shape Bomb Causes Petabyte Allocation in KerasFileEditor)
- Keras has an untrusted deserialization vulnerability
- Keras has a Local File Disclosure via HDF5 External Storage During Keras Weight Loading
- Duplicate Advisory: Keras vulnerable to arbitrary file read in the model loading mechanism (HDF5 integration)
- Duplicate Advisory: Google Keras Allocates Resources Without Limits or Throttling in the HDF5 weight loading component
- Keras Directory Traversal Vulnerability
- Duplicate Advisory: Keras keras.utils.get_file API is vulnerable to a path traversal attack
- Duplicate Advisory: Keras keras.utils.get_file API is vulnerable to a path traversal attack
- Keras is vulnerable to arbitrary local file loading and Server-Side Request Forgery
- Keras framework vulnerable to deserialization of untrusted data
- The Keras `Model.load_model` method **silently** ignores `safe_mode=True` and allows arbitrary code execution when a `.h5`/`.hdf5` file is loaded.
- Duplicate Advisory: The Keras `Model.load_model` method **silently** ignores `safe_mode=True` and allows arbitrary code execution when a `.h5`/`.hdf5` file is loaded.
- Keras is vulnerable to Deserialization of Untrusted Data
- Keras vulnerable to CVE-2025-1550 bypass via reuse of internal functionality
- Duplicate Advisory: Keras safe mode bypass vulnerability
- Arbitrary Code Execution via Crafted Keras Config for Model Loading
- Duplicate Advisory: Keras arbitrary code execution vulnerability
- keras Path Traversal vulnerability
- Keras code injection vulnerability
pypi.org: keras-nightly
Multi-backend Keras
- Homepage: https://keras.io/
- Documentation: https://keras-nightly.readthedocs.io/
- Licenses: Apache License 2.0
- Latest release: 3.16.0.dev2026082404 (published 2 days ago)
- Last Synced: 2026-08-24T15:36:25.592Z (1 day ago)
- Versions: 1,781
- Dependent Packages: 19
- Dependent Repositories: 1,025
- Downloads: 182,917 Last month
- Docker Downloads: 7,369,605
-
Rankings:
- Dependent repos count: 0.364%
- Dependent packages count: 0.444%
- Average: 0.523%
- Downloads: 0.635%
- Docker downloads count: 0.649%
- Maintainers (2)
conda-forge.org: keras
- Homepage: https://github.com/keras-team/keras
- Licenses: Apache-2.0
- Latest release: 2.10.0 (published almost 4 years ago)
- Last Synced: 2026-03-19T01:16:56.066Z (5 months ago)
- Versions: 22
- Dependent Packages: 29
- Dependent Repositories: 327
- Downloads: 4,863,812 Total
-
Rankings:
- Forks count: 0.12%
- Stargazers count: 0.16%
- Average: 1.061%
- Dependent repos count: 1.672%
- Dependent packages count: 2.291%
pypi.org: keras-nlp
Pretrained models for Keras.
- Homepage: https://keras.io/keras_hub/
- Documentation: https://keras-nlp.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.31.1 (published 4 days ago)
- Last Synced: 2026-08-24T15:35:47.910Z (1 day ago)
- Versions: 131
- Dependent Packages: 14
- Dependent Repositories: 10
- Downloads: 260,550 Last month
- Docker Downloads: 15,326
-
Rankings:
- Dependent packages count: 0.962%
- Docker downloads count: 1.102%
- Downloads: 1.136%
- Average: 2.343%
- Stargazers count: 2.503%
- Forks count: 3.768%
- Dependent repos count: 4.587%
- Maintainers (2)
proxy.golang.org: github.com/keras-team/keras
- Homepage:
- Documentation: https://pkg.go.dev/github.com/keras-team/keras#section-documentation
- Licenses: apache-2.0
- Latest release: v3.15.1+incompatible (published 27 days ago)
- Last Synced: 2026-08-24T15:35:48.912Z (1 day ago)
- Versions: 70
- Dependent Packages: 0
- Dependent Repositories: 1
-
Rankings:
- Forks count: 0.007%
- Stargazers count: 0.013%
- Average: 3.573%
- Dependent repos count: 4.719%
- Dependent packages count: 9.553%
anaconda.org: keras
Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, and PyTorch. Effortlessly build and train models for computer vision, natural language processing, audio processing, timeseries forecasting, recommender systems, etc.
- Homepage: https://github.com/keras-team/keras
- Licenses: Apache-2.0
- Latest release: 3.15.0 (published about 2 months ago)
- Last Synced: 2026-07-02T16:10:42.808Z (about 2 months ago)
- Versions: 25
- Dependent Packages: 1
- Dependent Repositories: 327
- Downloads: 211,750 Total
-
Rankings:
- Forks count: 0.423%
- Stargazers count: 0.514%
- Dependent repos count: 9.619%
- Average: 10.302%
- Dependent packages count: 30.651%
pypi.org: keras-nlp-nightly
Pretrained models for Keras.
- Homepage: https://keras.io/keras_hub/
- Documentation: https://keras-nlp-nightly.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.0.0 (published almost 3 years ago)
- Last Synced: 2026-08-24T15:35:49.286Z (1 day ago)
- Versions: 868
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 9,041 Last month
-
Rankings:
- Stargazers count: 2.576%
- Forks count: 3.828%
- Dependent packages count: 9.841%
- Average: 21.019%
- Dependent repos count: 67.832%
- Maintainers (2)
pypi.org: keras-test
Multi-backend Keras
- Homepage: https://keras.io/
- Documentation: https://keras-test.readthedocs.io/
- Licenses: Apache License 2.0
- Latest release: 3.9.0.dev2025041714 (published over 1 year ago)
- Last Synced: 2026-08-24T15:35:20.720Z (1 day ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 24 Last month
-
Rankings:
- Dependent packages count: 9.283%
- Average: 30.784%
- Dependent repos count: 52.286%
- Maintainers (1)
pypi.org: keras-hub-nightly
Pretrained models for Keras.
- Homepage: https://keras.io/keras_hub/
- Documentation: https://keras-hub-nightly.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.32.0.dev202608240358 (published 2 days ago)
- Last Synced: 2026-08-24T15:34:50.027Z (1 day ago)
- Versions: 587
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 8,507 Last month
-
Rankings:
- Dependent packages count: 10.438%
- Average: 34.599%
- Dependent repos count: 58.76%
- Maintainers (2)
pypi.org: keras-hub
Pretrained models for Keras.
- Homepage: https://keras.io/keras_hub/
- Documentation: https://keras-hub.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.31.1 (published 4 days ago)
- Last Synced: 2026-08-24T15:35:48.816Z (1 day ago)
- Versions: 67
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 630,126 Last month
-
Rankings:
- Dependent packages count: 10.438%
- Average: 34.599%
- Dependent repos count: 58.76%
- Maintainers (2)
Dependencies
requirements.txt
pypi
- Pillow *
- black ==22.3.0
- flake8 ==4.0.1
- isort ==5.10.1
- numpy *
- pandas *
- portpicker *
- pydot *
- pyyaml *
- scipy *
- tf-nightly *
.github/workflows/gpu_tests.yml
actions
- actions/checkout v4 composite
.github/workflows/labeler.yaml
actions
- actions/checkout v6.0.2 composite
- actions/github-script v8 composite
.github/workflows/tpu_tests.yml
actions
- actions/checkout v6.0.2 composite
requirements-jax-tpu.txt
pypi
- flax *
- jax *
- tensorflow-cpu *
- tf2onnx *
- torch *
requirements-tensorflow-tpu.txt
pypi
- jax *
- tensorflow-tpu ==2.19.1
- tf2onnx *
- torch *
.github/workflows/actions.yml
actions
- actions/cache v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- codecov/codecov-action v3 composite
- dorny/paths-filter v2 composite
pyproject.toml
pypi
requirements-common.txt
pypi
- absl-py *
- black >=22
- build *
- dm-tree *
- flake8 *
- google *
- h5py *
- isort *
- namex *
- numpy *
- pandas *
- protobuf *
- pytest *
- pytest-cov *
- requests *
- rich *
- scipy *
- tensorboard-plugin-profile *
.github/workflows/auto-assignment.yaml
actions
- actions/checkout v3 composite
- actions/github-script v6 composite
.github/workflows/nightly.yml
actions
- actions/cache v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/stale-issue-pr.yaml
actions
- actions/stale v5 composite
requirements-jax-cuda.txt
pypi
- jax *
- tf-nightly-cpu ==2.15.0.dev20231009
- torch >=2.1.0
- torchvision >=0.16.0
requirements-tensorflow-cuda.txt
pypi
- jax *
- tf-nightly ==2.15.0.dev20231009
- torch >=2.1.0
- torchvision >=0.16.0
requirements-torch-cuda.txt
pypi
- jax *
- tf-nightly-cpu ==2.15.0.dev20231009
- torch ==2.1.0
- torchvision ==0.16.0
.github/workflows/scorecard.yml
actions
- actions/checkout b4ffde65f46336ab88eb53be808477a3936bae11 composite
- actions/upload-artifact a8a3f3ad30e3422c9c7b888a15615d19a852ae32 composite
- github/codeql-action/upload-sarif c0d1daa7f7e14667747d73a7dbbe8c074bc8bfe2 composite
- ossf/scorecard-action 0864cf19026789058feabb7e87baa5f140aac736 composite