{"library":"jaxopt","type":"library","category":null,"description":"JAXopt is a Python library providing hardware-accelerated, batchable, and differentiable optimizers built on JAX. It offers a wide range of solvers for convex and non-convex optimization problems, suitable for machine learning and scientific computing, including gradient descent, L-BFGS, and quadratic programming. The current version is 0.8.5, and the project maintains a frequent release cadence with bug fixes and new features.","language":"python","status":"active","version":"0.8.5","tags":["optimization","jax","machine-learning","deep-learning","numerical-methods","differentiable-programming"],"last_verified":"Sat May 23","install":[{"cmd":"pip install jaxopt","imports":["from jaxopt import GradientDescent","from jaxopt import LBFGS","from jaxopt import OSQP"]}],"homepage":"https://jaxopt.github.io","github":"https://github.com/google/jaxopt","docs":null,"changelog":null,"pypi":"https://pypi.org/project/jaxopt/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":11.9,"avg_import_s":3.07,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/jaxopt/compatibility"}}