# probml/dynamax

A Python package for probabilistic state space modeling with JAX

Repository: https://github.com/probml/dynamax
Canonical: https://ross.abutalabs.com/products/dynamax
Homepage: https://probml.github.io/dynamax/
Language: Python
License: MIT
License Family: permissive
Topics: state-space-models, hidden-markov-models, jax, python, kalman-filter
Last push: 2026-09-01T14:41:33+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 78, longevity 100
- inputs: {"age_days": 1605, "days_push": 1, "days_rel": 69, "gap_med": 45, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1004, forks 114 (observed 2026-09-03T02:15:17.073243+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- probml/dynamax (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:17.073243+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.