Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 02:38 UTC

broadinstitute / gatk-sv

A structural variation pipeline for short-read sequencing

Python · WDL · RBSD-3-Clause★ 207 stars⑂ 82 forkssince Jun 2020View on GitHub ↗
KindCommand-line toolWeb interfacehow this is determined

broadinstitute/gatk-sv holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (87/100) and lowest on AI Readiness (51/100). It was last updated today. 3 contributors account for most of its recent work.

88
overall / 100
Excellent

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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Broad InstituteOrganization
1,315 followers1,536 public repossince Sep 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIsvtkpoints to another repo — not scored0.2.0-21483 days ago
PyPIsv_utilspoints to another repo — not scored0.6.11952469 days ago

Metrics by category

Vitality

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

87Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
19.4/36Commit cadence28/52 weeks with commits
17.6/18Commit volume89 commits in the last year
10/10OpenSSF Scorecard: Maintained17 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year89
human_commit_share1
days_since_last_push0
active_weeks_last_year28
How it's scored
27/27Ships releases79 releases published
36/36Release recencylatest release 63 days ago
19.8/27Release cadencea release every ~77 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count79
latest_release_tagv1.1.1
releases_from_tagsno
days_since_latest_release63
mean_days_between_releases77
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?

71Good · 17% of overall
How it's scored
37.5/60Stars207 stars
15.9/25Forks82 forks
5.6/15Watchers11 watchers
Inputs used
forks82
stars207
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
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?

75Good · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
16.7/22.5Commit distributiontop contributor authored 26% of commits
13.5/13.5Contributor breadth20 contributors
10/10OpenSSF Scorecard: Contributorsproject has 8 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled20
top_contributor_share0.257
How it's scored
26.7/42Issue resolution64% of issues closed
26.3/30PR acceptance570/651 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
10.5/15OpenSSF Scorecard: Code-ReviewFound 22/30 approved changesets -- score normalized to 7
Inputs used
merged_prs570
open_issues100
closed_issues174
prs_merged_7d3
prs_decided_7d3
prs_merged_30d6
prs_decided_30d7
issue_closed_ratio0.635
closed_unmerged_prs81
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
22.4/25Owner reach1,315 followers of broadinstitute
25/25Track record1,536 public repos, account ~16 yr old
Inputs used
followers1,315
owner_typeOrganization
is_verifiedno
owner_loginbroadinstitute
public_repos1,536
account_age_days5,849

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter configtox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests22 out of 22 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://broadinstitute.github.io/gatk-sv/
10/10Repository description
10/10Topics4 topics
0/10Wiki
Inputs used
topicsgenomics, structural-variants, structural-variation, bioinformatics
has_wikino
homepagehttps://broadinstitute.github.io/gatk-sv/
docs_sitehttps://broadinstitute.github.io/gatk-sv/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

65Good · 16% of overall
How it's scored
6.8/7.5Binary-Artifactsbinaries present in source code
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests22 out of 22 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-ReviewFound 22/30 approved changesets -- score normalized to 7
2.5/2.5Contributorsproject has 8 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained17 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
3/5SASTSAST tool is not run on all commits -- score normalized to 6
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages12
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:svtk@0.2.0 runtime dependency closure — what installing the published package pulls in — 12 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.

51Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
37.3/40Legible commit history70 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.7
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.4/55Manageable file sizes3/257 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes120,131
source_files_sampled257
oversized_source_files3
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
Inputs used
example_dirsnotebooks
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

207GitHub stars
20contributors
89commits, last 12 months
0days since last push
79releases
3bus factor
100open issues
npmpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'svqc' from its registry
  • pypi package 'svtk' points at a different repository (https://github.com/simleek/displayarray); excluded from ecosystem scoring
  • Could not fetch pypi package 'svtest' from its registry
  • pypi package 'sv_utils' points at a different repository (https://github.com/friend1ws/sv_utils); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 82 ⇿
0Stars
82Forks
77Releases

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.

0204060801008132020-072023-072026-08
Major 0Minor 0Patch 6

Each point covers 6 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-09-15 02:38 UTC

9Binary-Artifactsbinaries present in source code
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-Tests22 out of 22 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 22/30 approved changesets -- score normalized to 7
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
10Maintained17 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
6SASTSAST tool is not run on all commits -- score normalized to 6
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
npm@docusaurus/core^3.10.1website/package.json
npm@docusaurus/plugin-google-gtag^3.10.1website/package.json
npm@docusaurus/preset-classic^3.10.1website/package.json
npm@docusaurus/theme-mermaid^3.10.1website/package.json
npm@mdx-js/react^3.0.0website/package.json
npmclsx^2.0.0website/package.json
npmprism-react-renderer^2.3.0website/package.json
npmreact^18.0.0website/package.json
npmreact-dom^18.0.0website/package.json
All dependencies 38

Full resolved dependency set from the GitHub dependency graph: 9 direct and 29 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npm@docusaurus/core^3.10.1direct
npm@docusaurus/plugin-google-gtag^3.10.1direct
npm@docusaurus/preset-classic^3.10.1direct
npm@docusaurus/theme-mermaid^3.10.1direct
npm@mdx-js/react^3.0.0direct
npmclsx^2.0.0direct
npmprism-react-renderer^2.3.0direct
npmreact^18.0.0direct
npmreact-dom^18.0.0direct
npm@docusaurus/module-type-aliases^3.10.1indirect
npm@docusaurus/types^3.10.1indirect
PyPIargparseindirect
PyPIclickindirect
PyPIcythonindirect
PyPIdillindirect
PyPIintervaltreeindirect
PyPIjsonschemaindirect
PyPImatplotlibindirect
PyPImultiprocessing-loggingindirect
PyPInatsortindirect
PyPInoseindirect
PyPInumpyindirect
PyPIopenpyxlindirect
PyPIpandasindirect
PyPIplotlyindirect
PyPIpsutilindirect
PyPIpybedtoolsindirect
PyPIpymplerindirect
PyPIpysamindirect
PyPIrequestsindirect
PyPIscipyindirect
PyPIseabornindirect
PyPIsetuptoolsindirect
PyPIstatsmodelsindirect
PyPItqdmindirect
PyPIurllib3indirect
PyPIwheelindirect
PyPIxlsxwriterindirect
Dependency advisories 0

Installing pypi:svtk@0.2.0 pulls in 12 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.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 statisticsPyPI.