# n2cholas/awesome-jax

JAX - A curated list of resources https://github.com/google/jax

Repository: https://github.com/n2cholas/awesome-jax
Canonical: https://ross.abutalabs.com/products/awesome-jax
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, jax, machine-learning, neural-network, deep-learning, xla, autograd, numpy
Last push: 2026-01-20T05:48:13+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 63, release rhythm 35, longevity 100
- inputs: {"age_days": 2082, "days_push": 225, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2157, forks 169 (observed 2026-08-28T04:06:19.725946+00:00)

## What it is
A curated list of libraries, models, tutorials, papers, and other resources for the JAX numerical computing and machine learning ecosystem. It serves as a discovery index rather than a software package itself.

## Use cases
- find jax libraries for neural networks
- learn jax through tutorials and blog posts
- discover deep learning research projects built on jax
- compare jax neural network libraries like flax and haiku
- find graph neural network tools in the jax ecosystem
- locate papers and videos about jax

## When to choose
- you are starting with JAX and want a map of the ecosystem
- you need to discover libraries, tutorials, or papers related to JAX

## When to avoid
- you need an actual library or tool rather than a list of links
- you need resources for frameworks other than JAX

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning
- domain: machine-learning, deep-learning, awesome-lists, tutorials
- platform: python, cross-platform
- tags: jax, awesome-list, curated-resources, xla, autodiff, numpy, gpu

## Member repositories
- n2cholas/awesome-jax (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:19.725946+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:50:25.273953+00:00, confidence not recorded.
  - readme: https://github.com/n2cholas/awesome-jax (fetched 2026-08-28T04:06:19.725946+00:00, sha 91635476719f)
- Data as of 2026-08-30T08:39:29.467469+00:00.