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@Jammy2211 Jammy2211 released this 01 May 11:35
· 101 commits to main since this release
2026.5.1.4
bd5243a

PyAutoFit v2026.5.1.4

Highlights

Python 3.9–3.13 supported, 3.12 / 3.13 recommended

This release expands supported Python versions to 3.9 through 3.13 (#1244). 3.12 and 3.13 are first-class recommended; 3.9, 3.10, 3.11 are supported but emit a loud (bypassable) banner on import. Silence the banner via version.python_version_check: False in your workspace's config/general.yaml. Python 3.14 is not yet supported (parked on a known FactorGraphModel iteration bug).

Key impacts for users:

  • requires-python = ">=3.9" in pyproject.toml (lower floor than before)
  • Classifiers now cover 3.9, 3.10, 3.11, 3.12, 3.13
  • JAX is now an optional extra: pip install autofit[jax], gated on python_version >= '3.11'. Plain pip install autofit no longer pulls JAX as a transitive dep.
  • Analysis(use_jax=True) falls back to numpy with a UserWarning when JAX isn't installed, instead of failing at import time.

JAX-jitted likelihoods in Dynesty (use_jax_jit)

Dynesty searches now support JAX-jitted likelihood evaluation via the new use_jax_jit option (#1243). For likelihood-bound runs, this can deliver substantial speedups by JIT-compiling the likelihood once instead of evaluating it interpretively per sample.

Bug Fixes

  • compute_latent_samples now skips samples that raised a FitException instead of crashing the whole computation (#1233)

Internal / Cleanup

  • Remove unused pyprojroot dependency (#1242) — pip install autofit no longer pulls pyprojroot
  • Delete jax-using unit tests; cross-xp checks live in autofit_workspace_test (#1247) — keeps the library's unit suite numpy-only

Upstream Changes

PyAutoConf

  • Support Python 3.9–3.13, first-class 3.12/3.13 (PyAutoConf#102)
  • Soften Python version check with general.yaml bypass (PyAutoConf#96)

Full changelog: 2026.4.13.6...2026.5.1.4

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