GraphCanon updated Sep 26, 2026 · GitHub synced Sep 26, 2026
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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
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 26, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 26, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
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Install
pip install kerasHow it fits your stack(3)
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Evidence and technical details
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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 · Sep 26, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 26, 2026)
python pip_build.py --installSource link
Tags
README
Install with pip Keras 3 is available on PyPI as . Note that Keras 2 remains available as the package. 1. Install : 2. Install backend package(s). To use , you should also install the backend of choice: , , or . Additionally, The backend is available with support for model infere...
For agents
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