Public record
Software health reportschema 0.26.0 · metrics 2.10.0 · 2026-07-22 03:27 UTC

sbi-dev / sbi

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

PythonApache-2.0★ 849 stars⑂ 244 forkssince Feb 2020View on GitHub ↗
KindLibraryhow this is determined
#simulation-based-inference#likelihood-free-inference#bayesian-inference#parameter-estimation#pytorch#machine-learning

sbi-dev/sbi holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (76/100). It was last updated today. 2 contributors account for most of its recent work.

96
overall / 100
Exceptional

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.

96
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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

sbiOrganization
61 followers5 public repossince Aug 2023

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsbi0.26.1-38103 days agobayesian-inferencesimulation-based-inferencepytorch

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 0 days ago
30.5/36Commit cadence — 44/52 weeks with commits
18/18Commit volume — 181 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year181
human_commit_share0.55
days_since_last_push0
active_weeks_last_year44

Release discipline

75Good
How it's scored
27/27Ships releases — 38 releases published
27/36Release recency — latest release 103 days ago
12.6/27Release cadence — a release every ~133.7 days
8/10OpenSSF Scorecard: Signed-Releases — 3 out of the last 3 releases have a total of 3 signed artifacts.
Inputs used
releases_count38
latest_release_tagv0.26.1
releases_from_tagsno
days_since_latest_release103
mean_days_between_releases133.7

Community & Adoption

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

79Good · 17% of overall

Popularity & adoption

74Good
How it's scored
47.5/60Stars — 849 stars
19.9/25Forks — 244 forks
6.7/15Watchers — 17 watchers
Inputs used
forks244
stars849
watchers17
growth_stateorganic
growth_factor_pct100

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

76Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.6/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 88 contributors
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled88
top_contributor_share0.439

Issue & PR responsiveness

81Excellent
How it's scored
38.9/42Issue resolution — 93% of issues closed
26/30PR acceptance — 882/1,018 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-Review — Found 5/11 approved changesets -- score normalized to 4
Inputs used
merged_prs882
open_issues60
closed_issues748
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.926
closed_unmerged_prs136
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

68Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
12.9/25Owner reach — 61 followers of sbi-dev
11.6/25Track record — 5 public repos, account ~2 yr old
Inputs used
followers61
owner_typeOrganization
is_verified—
owner_loginsbi-dev
public_repos5
account_age_days1,085
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 103 days ago
20/20Version history — 38 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessbi
ecosystemspypi
any_deprecatedno
min_days_since_publish103

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://sbi.readthedocs.io
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicssimulation-based-inference, likelihood-free-inference, bayesian-inference, parameter-estimation, pytorch, machine-learning
has_wikiyes
homepagehttps://sbi.readthedocs.io
docs_sitehttps://sbi.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

80Excellent · 16% of overall

Security posture

75Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 5/11 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 22 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 3 out of the last 3 releases have a total of 3 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.5
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages32
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:sbi@0.26.1 runtime dependency closure — what installing the published package pulls in — 32 packages. 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.

86Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 54 of 55 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.982
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes1,849

Verify loop (build / test / typecheck)

83Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 44 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs—
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0.44

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.5/55Manageable file sizes — 2/216 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes106,635
source_files_sampled216
oversized_source_files2

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

849GitHub stars
88contributors
181commits, last 12 months
0days since last push
38releases
2bus factor
60open issues
PyPIpackage ecosystems

More detail

Star and fork history 849 ★ / 244 ⇿
849Stars
244Forks
38Releases

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.

02004006008001,000848243222020-032023-052026-07
Major 0Minor 19Patch 19

Each point covers 6 days.

OpenSSF Scorecard 7.5 / 10
7.5aggregate

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 · 2026-07-22 03:26 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
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 5/11 approved changesets -- score normalized to 4
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
9SASTSAST tool is not run on all commits -- score normalized to 9
10Security-Policysecurity policy file detected
8Signed-Releases3 out of the last 3 releases have a total of 3 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIjoblib>=1.0.0pyproject.toml
PyPImatplotlib—pyproject.toml
PyPInumpy—pyproject.toml
PyPIpillow—pyproject.toml
PyPInflows>=0.14.0pyproject.toml
PyPIscikit-learn—pyproject.toml
PyPIscipy—pyproject.toml
PyPIskorch—pyproject.toml
PyPItensorboard—pyproject.toml
PyPItorch>=1.13.0pyproject.toml
PyPItqdm—pyproject.toml
PyPIzuko>=1.2.0pyproject.toml
All dependencies 261

Full resolved dependency set from the GitHub dependency graph: 19 direct and 242 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjoblib—direct
PyPIjoblib1.5.3direct
PyPImatplotlib3.10.8direct
PyPInflows—direct
PyPInflows0.14direct
PyPInumpy2.2.6direct
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PyPIpillow12.3.0direct
PyPIscikit-learn1.7.2direct
PyPIscikit-learn1.8.0direct
PyPIscipy1.15.3direct
PyPIscipy1.17.1direct
PyPIskorch1.3.1direct
PyPItensorboard2.20.0direct
PyPItorch—direct
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PyPIuvicorn0.42.0indirect
PyPIvirtualenv21.2.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.7indirect
PyPIxarray2025.6.1indirect
PyPIxarray2026.2.0indirect
PyPIxarray-einstats0.10.0indirect
PyPIxarray-einstats0.8.0indirect
PyPIxarray-einstats0.9.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:sbi@0.26.1 pulls in 32 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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.

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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 v0.26.0 — full methodology · metrics wiki.

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