JAX

NumPy with autodiff, JIT and TPUs
ML frameworks & MLOpsNumerical computingApache-2.0Runs locallyPythonAdvanced
OSAI Pulse ⓘ ★★★★★★★★★★ /100 signals tracked
🐳 Docker pulls 📦 PyPI downloads / month 📦 npm downloads / month 🚀 Latest release ·
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What is JAX?

JAX composes automatic differentiation, JIT compilation and vectorisation — the substrate for much of Google's and DeepMind's research.

Why people choose JAX

JAX at a glance

CategoryML frameworks & MLOps
TypeNumerical computing
LicenseApache-2.0
Runs locallyYes
Built withPython
Skill levelAdvanced
Best forresearchers who want speed without giving up NumPy semantics

Open-source alternatives to JAX

Other open-source ml frameworks & mlops tools worth comparing:

DagsterOrchestration that thinks in data assets, not tasksTensorFlowGoogle's deep-learning framework, built for productionPyTorchThe framework nearly every modern AI model is written inOpenCVThe computer vision library everything else builds onscikit-learnClassical machine learning, done properlyApache AirflowSchedule and monitor data pipelinesRayScale Python from a laptop to a clusterXGBoostStill the one to beat on tabular dataLabel StudioLabel anything — text, images, audio, videoMLflowTrack experiments and ship models without the spreadsheetONNXMove a model between frameworks and runtimesLightGBMGradient boosting that trains fast on big tablesCVATSerious annotation for computer visionDVCGit for datasets and modelsOptunaFind the right hyperparameters without guessing

JAX head-to-head

JAX vs DagsterJAX vs TensorFlowJAX vs PyTorchJAX vs OpenCVJAX vs scikit-learnJAX vs Apache AirflowJAX vs RayJAX vs XGBoostJAX vs Label StudioJAX vs MLflowJAX vs ONNXJAX vs LightGBMJAX vs CVATJAX vs DVCJAX vs Optuna

FAQ

Is JAX free?

JAX is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.

Can I run JAX locally?

Yes. JAX is designed to run on your own machine or server, keeping your data private.

What is the best alternative to JAX?

Popular open-source alternatives include Dagster, TensorFlow, PyTorch. See the comparisons above to choose.

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