Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 18:53 UTC

scverse / scirpy

A scanpy extension to analyse single-cell TCR and BCR data.

PythonBSD-3-Clause★ 265 stars⑂ 50 forkssince Jan 2020View on GitHub ↗

scverse/scirpy holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (100/100) and lowest on AI Readiness (58/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

94
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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

scverseOrganization
1,562 followers97 public repossince Nov 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIscirpy0.25.13,2265029 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 1 days ago
20.1/36Commit cadence29/52 weeks with commits
18/18Commit volume119 commits in the last year
10/10OpenSSF Scorecard: Maintained27 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year119
human_commit_share0.77
days_since_last_push1
active_weeks_last_year29
How it's scored
27/27Ships releases50 releases published
36/36Release recencylatest release 29 days ago
19.8/27Release cadencea release every ~58.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count50
latest_release_tagv0.25.1
releases_from_tagsno
days_since_latest_release29
mean_days_between_releases58.8
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?

70Good · 17% of overall
How it's scored
39.3/60Stars265 stars
14.1/25Forks50 forks
5.6/15Watchers11 watchers
Inputs used
forks50
stars265
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes
How it's scored
46.8/80Monthly downloads3,226 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesscirpy
dependents
ecosystemspypi
total_downloads
monthly_downloads3,226
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?

70Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
2.9/22.5Commit distributiontop contributor authored 87% of commits
13.5/13.5Contributor breadth26 contributors
10/10OpenSSF Scorecard: Contributorsproject has 9 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled26
top_contributor_share0.872
How it's scored
37.9/42Issue resolution90% of issues closed
25.8/30PR acceptance329/382 decided PRs merged
13/13Newcomer PR acceptance1/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 6/12 approved changesets -- score normalized to 5
Inputs used
merged_prs329
open_issues35
closed_issues324
prs_merged_7d2
prs_decided_7d2
prs_merged_30d4
prs_decided_30d4
issue_closed_ratio0.903
closed_unmerged_prs53
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
23/25Owner reach1,562 followers of scverse
22.6/25Track record97 public repos, account ~4 yr old
Inputs used
followers1,562
owner_typeOrganization
is_verifiedno
owner_loginscverse
public_repos97
account_age_days1,754

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 29 days ago
20/20Version history50 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesscirpy
ecosystemspypi
any_deprecatedno
min_days_since_publish29

Engineering Quality

Are baseline engineering and documentation practices in place?

100Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests23 out of 23 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://scirpy.scverse.org/en/latest/
10/10Repository description
10/10Topics2 topics
10/10Wiki
Inputs used
topicsairr, scverse
has_wikiyes
homepagehttps://scirpy.scverse.org/en/latest/
docs_sitehttps://scirpy.scverse.org/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

86Excellent · 16% of overall

Security posture

82Excellent
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests23 out of 23 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
3.8/7.5Code-ReviewFound 6/12 approved changesets -- score normalized to 5
2.5/2.5Contributorsproject has 9 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained27 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
5/5Pinned-Dependenciesall dependencies are pinned
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate8.2
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 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_packages74
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:scirpy@0.25.1 runtime dependency closure — what installing the published package pulls in — 74 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.

58Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
20.1/40Legible commit history29 of 77 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.377
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
0/11Static type checking
0/10Reproducible environment
4/10Demonstrated agent practice2 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance4 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.02
toolchain_manifests
dependency_bot_commit_share0.04
How it's scored
0/45Type-checkable codePython without a type-check config
54.3/55Manageable file sizes1/75 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes88,582
source_files_sampled75
oversized_source_files1
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

265GitHub stars
26contributors
119commits, last 12 months
1days since last push
50releases
1bus factor
35open 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 ★ / 50 ⇿
0Stars
50Forks
47Releases

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.

010203040505022020-042023-072026-09
Major 0Minor 21Patch 21

Each point covers 6 days.

OpenSSF Scorecard 8.2 / 10
8.2aggregate

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 · 2026-09-19 18:52 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-Tests23 out of 23 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 6/12 approved changesets -- score normalized to 5
10Contributorsproject has 9 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained27 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPIadjusttext>=0.7pyproject.toml
PyPIairr>=1.6.1pyproject.toml
PyPIanndata>=0.9pyproject.toml
PyPIawkward>=2.1pyproject.toml
PyPIigraph!=0.10,!=0.10.1pyproject.toml
PyPIjoblib>=1.3.1pyproject.toml
PyPIlogomaker!=0.8.5pyproject.toml
PyPImudata>=0.3pyproject.toml
PyPInetworkx>=2.5pyproject.toml
PyPInumba>=0.60pyproject.toml
PyPInumpy>=1.17pyproject.toml
PyPIpandas>=2.3pyproject.toml
PyPIpooch>=1.7pyproject.toml
PyPIpycairo>=1.20pyproject.toml
PyPIpython-levenshteinpyproject.toml
PyPIscanpy>=1.9.3pyproject.toml
PyPIscikit-learnpyproject.toml
PyPIscipypyproject.toml
PyPIscverse-misc>=0.1.3pyproject.toml
PyPIsquarifypyproject.toml
PyPItqdm>=4.63pyproject.toml
All dependencies 27

Full resolved dependency set from the GitHub dependency graph: 17 direct and 10 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIadjusttextdirect
PyPIairrdirect
PyPIanndatadirect
PyPIawkwarddirect
PyPIigraphdirect
PyPIjoblibdirect
PyPIlogomakerdirect
PyPImudatadirect
PyPInetworkxdirect
PyPInumbadirect
PyPInumpydirect
PyPIpandasdirect
PyPIpoochdirect
PyPIpycairodirect
PyPIscanpydirect
PyPIscverse-miscdirect
PyPItqdmdirect
PyPIdocutilsindirect
PyPImuonindirect
PyPImyst-nbindirect
PyPIparasailindirect
PyPIpytestindirect
PyPIsc-dandelionindirect
PyPIscikit-bioindirect
PyPIsphinxindirect
PyPIsphinx-book-themeindirect
PyPIsphinxcontrib-bibtexindirect
Dependency advisories 0

Installing pypi:scirpy@0.25.1 pulls in 74 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.