{"data":{"slug":"keras-team-keras","name":"keras","tagline":"Deep Learning for humans","github_url":"https://github.com/keras-team/keras","owner":"keras-team","repo":"keras","owner_avatar_url":"https://avatars.githubusercontent.com/u/34455048?v=4","primary_language":"Python","stars":64191,"forks":19752,"topics":["data-science","deep-learning","jax","machine-learning","neural-networks","python","pytorch","tensorflow"],"archived":false,"github_pushed_at":"2026-07-07T17:53:38+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/keras-team-keras","markdown_url":"https://www.graphcanon.com/tools/keras-team-keras.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/keras-team-keras","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=keras-team-keras","description":"Deep Learning for humans","homepage_url":"http://keras.io/","license":"Apache-2.0","open_issues":228,"watchers":1857,"ai_summary":"Keras is a high-level deep learning library in Python, used to simplify the creation and training of neural networks. It supports multiple backends including TensorFlow, JAX, and PyTorch.","readme_excerpt":"### Install with pip\n\nKeras 3 is available on PyPI as `keras`. Note that Keras 2 remains available as the `tf-keras` package.\n\n1. Install `keras`:\n\n```\npip install keras --upgrade\n```\n\n2. Install backend package(s).\n\nTo use `keras`, you should also install the backend of choice: `tensorflow`, `jax`, or `torch`. Additionally,\nThe `openvino` backend is available with support for model inference only.\n\n---\n\n### Local installation\n\n#### Minimal installation\n\nKeras 3 is compatible with Linux and macOS systems. For Windows users, we recommend using WSL2 to run Keras.\nTo install a local development version:\n\n1. Install dependencies:\n\n```\npip install -r requirements.txt\n```\n\n2. Run installation command from the root directory.\n\n```\npython pip_build.py --install\n```\n\n3. Run API generation script when creating PRs that update `keras_export` public APIs:\n\n```\n./shell/api_gen.sh\n```","github_created_at":"2015-03-28T00:35:42+00:00","created_at":"2026-07-11T23:23:26.825005+00:00","updated_at":"2026-07-12T02:22:54.74042+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"data-science","name":"data-science"},{"slug":"neural-networks","name":"neural-networks"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"python","name":"python"},{"slug":"pytorch","name":"pytorch"},{"slug":"tensorflow","name":"tensorflow"},{"slug":"jax","name":"jax"}],"trust":{"provenance":{"is_fork":false,"github_id":33015583,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:23:33.795Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":4,"days_since_push":4,"last_release_at":"2026-06-26T17:52:51Z"},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:23:34.283Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-12T02:22:54.483Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-12T02:22:54.483Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-12T02:22:54.483Z"}}}}