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jax

jax-ml/jax

Composable transformations of Python+NumPy programs

GraphCanon updated Sep 26, 2026 · GitHub synced Sep 26, 2026

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36k stars3.8k forksLast push Sep 26, 2026 Python Apache-2.0

Decision brief

JAX is a high-performance numerical computing library for Python that integrates automatic differentiation and compilation, suitable for GPU and TPU acceleration.

Good fit when

  • - When you need to perform high-performance numerical computations with support for both forward and reverse mode automatic differentiation on accelerators such as GPUs and TPUs.
  • - If your project requires efficient handling of control flow constructs like loops and branches during the differentiation process, thus ensuring smooth integration with complex Python functions.

Avoid when

  • - JAX should be avoided if your codebase heavily relies on non-JIT compatible operations or side effects within Python functions, due to JAX's limitations in those areas.
  • - For applications that do not require GPU/TPU acceleration and where performance gains from automatic differentiation and compilation are not critical.

Observed Jul 14, 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 lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install jax
PyPI

How it fits your stack(1)

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

JAX is a Python library for high-performance numerical computing and machine learning on accelerators such as GPUs and TPUs, supporting automatic differentiation and compilation.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 26, 2026

Categories

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 26, 2026)

JAX is a Python library for accelerator-oriented array computation and program transformation,
Source link

Tags

README

<div align="center" <img src="https://raw.githubusercontent.com/jax ml/jax/main/images/jax logo 250px.png" alt="logo" </img </div Transformable numerical computing at scale Transformations Scaling Install guide Change logs Reference docs What is JAX? JAX is a Python library for a...

For agents

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