JAX

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Official repository stars

Collecting

Star growth needs repository snapshots 30 days apart.36,371 stars now

Member repository stars

Collecting

Star growth needs repository snapshots 30 days apart.0 new members in 30 days

Package adoption

—Not published by its registries

Its packages’ registries publish no adoption figure, so there is nothing to grow.

Open models

—No official models

No official model on Hugging Face, so this signal does not apply.

News

Collecting

News counts once there are 3 events across the last 60 days; it has 1.1 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of JAX’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of JAX’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days

0published events that mention it

Events · 30 days

1published events that mention it

Previous 30 days

0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Official repositoryPython

  36.4K stars

Members 43repositories tagged with one of its aliases, most-starred first

• AI-Hypercomputer/maxtext

  A simple, performant, and scalable Jax LLM!

  Tagged jaxPython

  2.4K stars

• apple/axlearn

  An Extensible Deep Learning Library

  Tagged jaxPython

  2.4K stars

• kubeflow/trainer

  Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

  Tagged jaxGo

  2.2K stars

• patrick-kidger/diffrax

  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  Tagged jaxPython

  2.1K stars

• deepmodeling/deepmd-kit

  A deep learning package for many-body potential energy representation and molecular dynamics

  Tagged jaxPython

  2.1K stars

• patrick-kidger/jaxtyping

  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

  Tagged jaxPython

  1.9K stars

• yang-song/score_sde

  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Tagged jaxJupyter Notebook

  1.8K stars

• magenta/magenta-realtime

  Magenta RealTime 2: An Open-Weights Live Music Model

  Tagged jaxPython

  1.8K stars

• kubeflow/katib

  Automated Machine Learning on Kubernetes

  Tagged jaxPython

  1.7K stars

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Tagged jaxPython

  1.7K stars

• jax-ml/scaling-book

  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

  Tagged jaxSCSS

  1.5K stars

• apple-aiml-research/ml-aim

  This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

  Tagged jaxPython

  1.4K stars

Packages

“Is” packages are JAX itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 6the technology itself, most-adopted first

• jax

  Differentiate, compile, and transform Numpy code.

  Listed in the catalogPyPI

  —Not published by PyPI
• jax-cuda12-pjrt

  JAX XLA PJRT Plugin for NVIDIA GPUs

  Published from jax-ml/jaxPyPI

  —Not published by PyPI
• jax-cuda12-plugin

  JAX Plugin for NVIDIA GPUs

  Published from jax-ml/jaxPyPI

  —Not published by PyPI
• jax-cuda13-pjrt

  JAX XLA PJRT Plugin for NVIDIA GPUs

  Published from jax-ml/jaxPyPI

  —Not published by PyPI
• jax-cuda13-plugin

  JAX Plugin for NVIDIA GPUs

  Published from jax-ml/jaxPyPI

  —Not published by PyPI
• jaxlib

  XLA library for JAX

  Published from jax-ml/jaxPyPI

  —Not published by PyPI

Ecosystem 56packages that depend on it, most-adopted first

• jraph

  Jraph: A library for Graph Neural Networks in Jax

  Depends on jaxPyPI

  —Not published by PyPI
• kaggle-environments

  Kaggle Environments

  Depends on jaxPyPI

  —Not published by PyPI
• klujax

  a KLU solver for JAX

  Depends on jaxPyPI

  —Not published by PyPI
• lineax

  Linear solvers in JAX and Equinox.

  Depends on jaxPyPI

  —Not published by PyPI
• litert-torch

  Support PyTorch model conversion with LiteRT.

  Depends on jaxPyPI

  —Not published by PyPI
• loco-mujoco

  Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.

  Depends on jaxPyPI

  —Not published by PyPI
• mctx

  Monte Carlo tree search in JAX.

  Depends on jaxPyPI

  —Not published by PyPI
• mujoco-mjx

  MuJoCo XLA (MJX)

  Depends on jaxPyPI

  —Not published by PyPI
• neural-compressor-jax

  Repository of Intel® Neural Compressor

  Depends on jaxPyPI

  —Not published by PyPI
• neuralgcm

  Neural General Circulation Models for Weather and Climate

  Depends on jaxPyPI

  —Not published by PyPI
• numpyro

  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

  Depends on jaxPyPI

  —Not published by PyPI
• optax

  A gradient processing and optimization library in JAX.

  Depends on jaxPyPI

  —Not published by PyPI

Latest news the latest event that mention it

• Reproducing Olmo 3 7B Pre-training in MaxText: case study of large scale training on TPUs1 source
  21d agoOCT 3, 2026