{"enrichment":{"capability":"JAX is a Python library for high-performance numerical computing that automatically differentiates NumPy code, compiles functions with XLA for GPUs/TPUs, and provides composable transformations like grad, jit, and vmap for machine learning at scale.","verdict":"JAX is a mature, actively maintained library (Production/Stable) with low install friction and no known vulnerabilities. Its permissive Apache-2.0 license and broad hardware support make it suitable for research and production machine learning. The main consideration is the Python 3.12+ requirement and the learning curve around JAX's functional programming model and compilation constraints."},"id":"jax","links":{"html":"https://skillfed.io/packages/jax","md":"https://skillfed.io/packages/jax.md","pypi":"https://pypi.org/project/jax/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-16","license_spdx":null,"license_treatment":"permissive","name":"jax","python_support":"supports_current","summary":"Differentiate, compile, and transform Numpy code."},"popularity":{"tier":"top_1000"},"security":{"n_vulnerabilities":0},"version":"0.11.0"}