Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 07:59 UTC

dirmeier / sbijax

Simulation-based inference in JAX

PythonApache-2.0★ 55 stars⑂ 8 forkssince Oct 2022View on GitHub ↗
KindLibraryhow this is determined
#abc#approximate-bayesian-computation#python#simulation-based-inference#sbi

dirmeier/sbijax holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (40/100). It was last updated today. A single contributor accounts for most of its recent work.

73
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

73
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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.

The weighted overall 64 is calibrated to 73 on the published index scale (record calibration 2026-08-02).

Ownership

Simon DirmeierPersonal account
143 followers52 public repossince Nov 2015@Logitech

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsbijax0.4.0791071 days agosbiabcsimulation-based-inferenceapproximate-bayesian-computation

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

71Good · 21% of overall

Development activity

63Moderate
How it's scored
36/36Push recency — last push 0 days ago
3.5/36Commit cadence — 5/52 weeks with commits
13.3/18Commit volume — 29 commits in the last year
10/10OpenSSF Scorecard: Maintained — 23 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year29
human_commit_share1
days_since_last_push0
active_weeks_last_year5

Release discipline

84Excellent
How it's scored
27/27Ships releases — 9 releases published
36/36Release recency — latest release 71 days ago
12.6/27Release cadence — a release every ~134 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count9
latest_release_tagv0.4.0
releases_from_tagsno
days_since_latest_release71
mean_days_between_releases134
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

40Weak · 17% of overall

Popularity & adoption

35Weak
How it's scored
28.1/60Stars — 55 stars
7/25Forks — 8 forks
0/15Watchers — 2 watchers
Inputs used
forks8
stars55
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

32At Risk
How it's scored
25.4/80Monthly downloads — 79 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessbijax
dependents—
ecosystemspypi
total_downloads—
monthly_downloads79
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

24At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.5/22.5Commit distribution — top contributor authored 98% of commits
4.1/13.5Contributor breadth — 3 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.977

Issue & PR responsiveness

80Excellent
How it's scored
39.4/42Issue resolution — 94% of issues closed
28.3/30PR acceptance — 49/52 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 2/16 approved changesets -- score normalized to 1
Inputs used
merged_prs49
open_issues2
closed_issues30
prs_merged_7d2
prs_decided_7d2
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.938
closed_unmerged_prs3
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

63Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.5/25Owner reach — 143 followers of dirmeier
24.6/25Track record — 52 public repos, account ~10 yr old
Inputs used
followers143
owner_typeUser
is_verified—
owner_logindirmeier
public_repos52
account_age_days3,940
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 71 days ago
20/20Version history — 10 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessbijax
ecosystemspypi
any_deprecatedno
min_days_since_publish71

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests — 9 out of 16 merged PRs checked by a CI test -- score normalized to 5
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://sbijax.rtfd.io
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicsabc, approximate-bayesian-computation, python, simulation-based-inference, sbi
has_wikino
homepagehttps://sbijax.rtfd.io
docs_sitehttps://sbijax.rtfd.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

53Moderate · 16% of overall

Security posture

41Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.2/2.5CI-Tests — 9 out of 16 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 2/16 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 23 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 84 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.1
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories160
affected_packages19
assessed_packages239
unassessed_packages24
affected_by_severitycritical 3, high 9, moderate 6, low 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 239 resolved dependencies against OSV. 24 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

73Good · 4% of overall

Agent context & guidance

83Excellent
How it's scored
45/45Agent instructions — .claude/CLAUDE.md
0/15Machine-readable docs (llms.txt)
37.8/40Legible commit history — 61 of 86 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.709
agent_instruction_files.claude/CLAUDE.md
agent_instruction_max_bytes3,914

Verify loop (build / test / typecheck)

61Moderate
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 86
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/131 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes15,890
source_files_sampled131
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

55GitHub stars
3contributors
29commits, last 12 months
0days since last push
9releases
1bus factor
2open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 8 ⇿
0Stars
8Forks
8Releases

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.

02468812023-082025-022026-09
Major 0Minor 4Patch 3

Each point covers 3 days.

OpenSSF Scorecard 4.1 / 10
4.1aggregate

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 · 2026-09-14 07:58 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
5CI-Tests9 out of 16 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/16 approved changesets -- score normalized to 1
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained23 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities84 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIdiffrax>=0.7.2pyproject.toml
PyPIdistrax>=0.1.9pyproject.toml
PyPIblackjax>=1.3pyproject.toml
PyPIdm-haiku>=0.0.16pyproject.toml
PyPIeinops>=0.8.2pyproject.toml
PyPIoptax>=0.2.8pyproject.toml
PyPIsurjectors>=0.4.0pyproject.toml
PyPItqdm>=4.64.1pyproject.toml
PyPIjaxlib>=0.10.1pyproject.toml
PyPIjax>=0.10.1pyproject.toml
PyPIgrain>=0.2.16pyproject.toml
PyPItfp-nightly>=0.26.0.dev20260318pyproject.toml
All dependencies 263

Full resolved dependency set from the GitHub dependency graph: 12 direct and 251 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIblackjax1.3direct
PyPIdiffrax0.7.2direct
PyPIdistrax0.1.9direct
PyPIdm-haiku0.0.17direct
PyPIeinops0.8.2direct
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PyPIjax0.11.1direct
PyPIjaxlib0.11.1direct
PyPIoptax0.2.8direct
PyPIsurjectors0.4.0direct
PyPItfp-nightly0.26.0.dev20260318direct
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PyPIabsl-py2.4.0indirect
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
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PyPIapswutils0.1.2indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarray-api-compat1.15.0indirect
PyPIarray-api-extra0.11.0indirect
PyPIarray-record0.8.3indirect
PyPIarrow1.2.3indirect
PyPIast-serialize0.5.0indirect
PyPIasttokens3.0.1indirect
PyPIasync-lru2.2.0indirect
PyPIattrs25.4.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbleach6.3.0indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.6indirect
PyPIchex0.1.90indirect
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PyPIdocutils0.22.4indirect
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PyPIfastjsonschema2.21.2indirect
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PyPIflax—indirect
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PyPIipykernel—indirect
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PyPIipython—indirect
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PyPImatplotlib—indirect
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PyPInbsphinx—indirect
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PyPIpackaging26.0indirect
PyPIpandas—indirect
PyPIpandas2.3.3indirect
PyPIpandas3.0.1indirect
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PyPIsabc—indirect
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PyPIscipy—indirect
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PyPIseaborn—indirect
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PyPIsend2trash2.1.0indirect
PyPIsession-info—indirect
PyPIsession-info1.0.1indirect
PyPIsetuptools82.0.1indirect
PyPIsh1.14.3indirect
PyPIsimulated-annealing-abc—indirect
PyPIsix1.17.0indirect
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PyPIsphinx—indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autobuild—indirect
PyPIsphinx-autobuild2025.8.25indirect
PyPIsphinx-autodoc-typehints—indirect
PyPIsphinx-autodoc-typehints3.9.8indirect
PyPIsphinx-book-theme—indirect
PyPIsphinx-book-theme1.1.0indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design—indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinx-fontawesome—indirect
PyPIsphinx-fontawesome0.0.6indirect
PyPIsphinx-gallery—indirect
PyPIsphinx-gallery0.20.0indirect
PyPIsphinx-math-dollar—indirect
PyPIsphinx-math-dollar1.3indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-bibtex—indirect
PyPIsphinxcontrib-bibtex2.6.5indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-fulltoc—indirect
PyPIsphinxcontrib-fulltoc1.2.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-mermaid—indirect
PyPIsphinxcontrib-mermaid2.0.2indirect
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PyPIterminado0.18.1indirect
PyPIthreadpoolctl3.6.0indirect
PyPItinycss21.4.0indirect
PyPItoolz1.1.0indirect
PyPItornado6.5.5indirect
PyPItraitlets5.14.3indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.6.3indirect
PyPIuvicorn0.42.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv21.2.0indirect
PyPIwadler-lindig0.1.7indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwrapt2.1.2indirect
PyPIxmltodict1.0.4indirect
PyPIzipp3.23.0indirect
Dependency advisories 19

This repository publishes no package the index resolves, so its own dependency graph was assessed — 239 packages, which also include development and test pins that never ship: 19 carry known advisories, of which 0 are direct. 24 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
jupyterlab4.5.6indirectcritical157.5.6
notebook7.5.5indirectcritical47.5.6
pillow12.1.1indirectcritical3612.3.0
click8.1.3indirecthigh18.3.3
jupyter-server2.17.0indirecthigh122.20.0
mistune3.2.0indirecthigh323.3.0
python-multipart0.0.22indirecthigh120.0.31
sh1.14.3indirecthigh22.2.4
soupsieve2.8.3indirecthigh42.8.4
starlette0.52.1indirecthigh101.3.1
tornado6.5.5indirecthigh116.5.8
urllib32.6.3indirecthigh42.7.0
bleach6.3.0indirectmoderate36.4.0
idna3.11indirectmoderate23.15
nbconvert7.17.0indirectmoderate47.17.1
pytest9.0.2indirectmoderate29.0.3
requests2.32.5indirectmoderate22.33.0
setuptools82.0.1indirectmoderate283.0.0
pygments2.19.2indirectlow22.20.0

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.