google-deepmind/optax
Optax is a gradient processing and optimization library for JAX.
2,207 stars and 3,543,273 monthly downloads. Used by 41 other packages. Actively maintained with 18 commits in the last 30 days. Available on PyPI.
Stars
2,207
Forks
318
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Monthly downloads
3,543,273
Commits (30d)
18
Dependencies
4
Reverse dependents
41
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/google-deepmind/optax"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
google/grain
Library for reading and processing ML training data.
patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
explosion/thinc
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
extropic-ai/thrml
Thermodynamic Hypergraphical Model Library in JAX
patrick-kidger/optimistix
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox....