Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 10:32 UTC

brentp / cyvcf2

cython + htslib == fast VCF and BCF processing

Cython · PythonMIT★ 449 stars⑂ 80 forkssince Aug 2015View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

brentp/cyvcf2 holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Engineering Quality (76/100) and lowest on AI Readiness (41/100). It was last updated 2 days ago. 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

Brent PedersenPersonal account
1,459 followers226 public repossince Feb 2008

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 publish
PyPIcyvcf20.34.0-10078 days ago

Metrics by category

Vitality

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

66Good · 21% of overall
How it's scored
36/36Push recency — last push 2 days ago
6.2/36Commit cadence — 9/52 weeks with commits
11.9/18Commit volume — 20 commits in the last year
2/10OpenSSF Scorecard: Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
Inputs used
commits_last_year20
human_commit_share1
days_since_last_push2
active_weeks_last_year9
How it's scored
16.2/27Ships releases — 100 version tags (no GitHub releases)
36/36Release recency — latest release 78 days ago
19.8/27Release cadence — a release every ~84.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.34.0
releases_from_tagsyes
days_since_latest_release78
mean_days_between_releases84.6
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?

56Moderate · 17% of overall
How it's scored
43/60Stars — 449 stars
15.8/25Forks — 80 forks
3.3/15Watchers — 5 watchers
Inputs used
forks80
stars449
watchers5
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Sustainability & Governance

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

69Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.4/22.5Commit distribution — top contributor authored 76% of commits
13.5/13.5Contributor breadth — 40 contributors
10/10OpenSSF Scorecard: Contributors — project has 33 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled40
top_contributor_share0.759
How it's scored
33.1/42Issue resolution — 79% of issues closed
26.9/30PR acceptance — 97/108 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-Review — Found 11/26 approved changesets -- score normalized to 4
Inputs used
merged_prs97
open_issues47
closed_issues176
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.789
closed_unmerged_prs11
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
22.8/25Owner reach — 1,459 followers of brentp
25/25Track record — 226 public repos, account ~18 yr old
Inputs used
followers1,459
owner_typeUser
is_verified—
owner_loginbrentp
public_repos226
account_age_days6,769
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 78 days ago
20/20Version history — 100 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescyvcf2
ecosystemspypi
any_deprecatedno
min_days_since_publish78

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 8 out of 12 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://brentp.github.io/cyvcf2/
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsvcf, htslib, cython, genomics, bioinformatics
has_wikiyes
homepage—
docs_sitehttps://brentp.github.io/cyvcf2/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
1.5/2.5CI-Tests — 8 out of 12 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 11/26 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 33 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
1.5/7.5Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): 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
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_packages4
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:cyvcf2@0.34.0 runtime dependency closure — what installing the published package pulls in — 4 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.

41Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
16.5/40Legible commit history — 31 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.31
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
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
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Cython without a type-check config
55/55Manageable file sizes — 0/18 source files over 60KB
Inputs used
primary_languageCython
largest_source_bytes44,553
source_files_sampled18
oversized_source_files0

Key facts

449GitHub stars
40contributors
20commits, last 12 months
2days since last push
100releases
1bus factor
47open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-03: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 449 stars today.
  • pypi download statistics for 'cyvcf2' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 446 ★ / 80 ⇿
446Stars
80Forks
100Releases

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.

Star history is shown as collected on 2026-07-03. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

010020030040050044679132015-082021-022026-08
Major 0Minor 14Patch 86

Each point covers 11 days.

OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-09-12 10:31 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
6CI-Tests8 out of 12 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 11/26 approved changesets -- score normalized to 4
10Contributorsproject has 33 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPInumpy>=2.0.0pyproject.toml
PyPIcoloredlogs—pyproject.toml
PyPIclick—pyproject.toml
All dependencies 6

Full resolved dependency set from the GitHub dependency graph: 3 direct and 3 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick—direct
PyPIcoloredlogs—direct
PyPInumpy—direct
PyPIcython—indirect
PyPIscikit-build-core—indirect
PyPIsetuptools—indirect
Dependency advisories 0

Installing pypi:cyvcf2@0.34.0 pulls in 4 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 statistics — PyPI.