{"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":64217,"forks":19746,"topics":["data-science","deep-learning","jax","machine-learning","neural-networks","python","pytorch","tensorflow"],"archived":false,"github_pushed_at":"2026-08-01T11:15:08+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":208,"watchers":1852,"ai_summary":"Keras is a deep learning framework that simplifies building and training neural networks. It supports multiple backends including TensorFlow, JAX, PyTorch, and OpenVINO.","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. 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