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google/jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX. observed · 2026-08-28

github.com/google/jaxopt · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

72/100

  • Activity 85
  • Release rhythm 40
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 4
  • age_days: 1878
  • days_rel: 506
  • days_push: 90
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

1059 stars · 76 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

JAXopt is a Python library providing hardware-accelerated, batchable, and differentiable optimizers built on JAX, including implicit differentiation of optimization problem solutions. The project is no longer maintained, with many features ported into Optax.

Use cases

  • differentiate through optimization problems in JAX
  • run optimizers on GPU and TPU
  • vectorize many instances of an optimization problem with vmap
  • implicit differentiation of fixed points and constrained problems
  • bilevel optimization and hyperparameter tuning
  • root finding and solvers in JAX pipelines

When to choose

  • you need differentiable or bilevel optimization in JAX and are fine using an unmaintained library
  • you want implicit differentiation of optimization solutions
  • you need batched solvers accelerated on GPU/TPU

When to avoid

  • starting a new project - use Optax or other JAX alternatives instead
  • you need maintained software with ongoing support
  • you need optimizers outside the JAX ecosystem

Facets

library · maturity abandoned

machine-learning math machine-learning deep-learning python jax optimization implicit-differentiation bilevel-optimization root-finding differentiable-programming algorithms gpu

3 sources

Member repositories

RepositoryRoleHealth v2
google/jaxoptmain72

For agents

markdown · JSON · MCP: product_card(name="google/jaxopt")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem