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keras-team/keras

Deep Learning for humans

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Python Apache-2.0Created Mar 28, 2015

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Overview

Deep Learning for humans

Capability facts

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

Model TrainingInference & Serving

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

python pip_build.py --install
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Tags

data-scienceneural-networksdeep-learningmachine-learningpythonpytorchtensorflowjax

README

Install with pip

Keras 3 is available on PyPI as keras. Note that Keras 2 remains available as the tf-keras package.

  1. Install keras:
pip install keras --upgrade
  1. Install backend package(s).

To use keras, you should also install the backend of choice: tensorflow, jax, or torch. Additionally, The openvino backend is available with support for model inference only.

Local installation

Minimal installation

Keras 3 is compatible with Linux and macOS systems. For Windows users, we recommend using WSL2 to run Keras. To install a local development version:

  1. Install dependencies:
pip install -r requirements.txt
  1. Run installation command from the root directory.
python pip_build.py --install
  1. Run API generation script when creating PRs that update keras_export public APIs:
./shell/api_gen.sh