PythonApache-2.0★ 645 stars⑂ 42 forkssince Apr 2021View on GitHub ↗
google-deepmind/distrax holds a health index of 64 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (75/100) and lowest on AI Readiness (29/100). It was last updated today. 3 contributors account for most of its recent work.
64
overall / 100
Moderate
Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
64
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
No resolved dependencies carried a version and a supported ecosystem
More detail
Star and fork history 0 ★ / 42 ⇿
0Stars
42Forks
15Releases
When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.
Major 0Minor 1Patch 14
Each point covers 5 days.
OpenSSF Scorecard 4.7 / 10
4.7aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-30 22:25 UTC
Full resolved dependency set from the GitHub dependency graph: 6 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
Registry
Package
Version
Relation
PyPI
absl-py
—
direct
PyPI
chex
—
direct
PyPI
jax
—
direct
PyPI
jaxlib
—
direct
PyPI
numpy
—
direct
PyPI
tfp-nightly
—
direct
Dependency advisories not assessed
Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem
Raw JSON report machine-readable
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{
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}
],
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},
"warnings": [
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"No resolved dependencies carried a version and a supported ecosystem"
],
"report_type": "repository",
"generated_at": "2026-07-30T22:26:14.575724Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/google-deepmind/distrax.svg",
"full_name": "google-deepmind/distrax",
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}
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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
