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Decision brief
Keras is a Python-based deep learning framework designed for simplicity and versatility, supporting multiple backends like TensorFlow, JAX, PyTorch, and OpenVINO.
Good fit when
- When you need a high-level API to build neural networks more easily with fewer lines of code.
- For rapid prototyping and experimentation owing to its user-friendly interface and flexibility in backend support.
Avoid when
- When low-level optimizations or customizations are necessary since Keras is an abstraction layer that might hide certain details.
- For environments where a specific deep learning framework must be used exclusively; Keras's multi-backend support could introduce unnecessary complexity.
- Requirements:
- Dependencies include installing a backend (like TensorFlow, JAX, PyTorch) along with the `keras` package.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
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- Very active (1d since push)
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- Not a fork · Organization account
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- Security (OSV)
- No criticals
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Install
pip install kerasHow it fits your stack(3)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Keras is a deep learning framework that simplifies building and training neural networks. It supports multiple backends including TensorFlow, JAX, PyTorch, and OpenVINO.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 3, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 3, 2026)
python pip_build.py --installSource link
Tags
README
Install with pip
Keras 3 is available on PyPI as keras. Note that Keras 2 remains available as the tf-keras package.
- Install
keras:
pip install keras --upgrade
- 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:
- Install dependencies:
pip install -r requirements.txt
- Run installation command from the root directory.
python pip_build.py --install
- Run API generation script when creating PRs that update
keras_exportpublic APIs:
./shell/api_gen.sh
For agents
This page has a .md twin and JSON over the API.