Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 12:15 UTC

JLSteenwyk / PhyKIT

a UNIX shell toolkit for processing and analyzing multiple sequence alignments and phylogenies

PythonMIT★ 91 stars⑂ 9 forkssince May 2020View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

JLSteenwyk/PhyKIT holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Vitality (82/100) and lowest on AI Readiness (41/100). It was last updated today. A single contributor accounts for most of its recent work.

75
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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

Jacob L. SteenwykPersonal account
136 followers52 public repossince Feb 2016University of California, Berkeley

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
PyPIphykit2.7.07,6641582 days ago

Metrics by category

Vitality

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

82Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
13.2/36Commit cadence — 19/52 weeks with commits
18/18Commit volume — 1,384 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_year1,384
human_commit_share1
days_since_last_push0
active_weeks_last_year19
How it's scored
27/27Ships releases — 84 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~17.6 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count84
latest_release_tagv2.7.0
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases17.6

Community & Adoption

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

51Moderate · 17% of overall
How it's scored
31.7/60Stars — 91 stars
7.5/25Forks — 9 forks
2.7/15Watchers — 4 watchers
Inputs used
forks9
stars91
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
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_badges6
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, shields.io
has_pull_request_templateno
How it's scored
51.8/80Monthly downloads — 7,664 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesphykit
dependents—
ecosystemspypi
total_downloads—
monthly_downloads7,664
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?

59Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 99% of commits
4.1/13.5Contributor breadth — 3 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.987
How it's scored
39.7/42Issue resolution — 95% of issues closed
17.3/30PR acceptance — 30/52 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/18 approved changesets -- score normalized to 0
Inputs used
merged_prs30
open_issues3
closed_issues53
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.946
closed_unmerged_prs22
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
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.4/25Owner reach — 136 followers of JLSteenwyk
24.6/25Track record — 52 public repos, account ~10 yr old
Inputs used
followers136
owner_typeUser
is_verified—
owner_loginJLSteenwyk
public_repos52
account_age_days3,863
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 2 days ago
20/20Version history — 158 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesphykit
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
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://jlsteenwyk.com/PhyKIT/
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsbioinformatics, evolution, evolutionary-biology, genomics, phylogenetics, phylogenomics, python, multiple-sequence-alignments
has_wikiyes
homepagehttps://jlsteenwyk.com/PhyKIT/
docs_sitehttps://jlsteenwyk.com/PhyKIT/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

52Moderate · 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
2.5/2.5CI-Tests — 1 out of 1 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
0/7.5Code-Review — Found 0/18 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 4 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
0/5Packaging — no data
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 25 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4
Excluded from scoring (no data or not applicable): Packaging. 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_packages23
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:phykit@2.7.0 runtime dependency closure — what installing the published package pulls in — 23 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
15/15Machine-readable docs (llms.txt) — llms.txt present
9.1/40Legible commit history — 17 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.17
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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
lockfilesPipfile.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
52.6/55Manageable file sizes — 19/433 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes459,621
source_files_sampled433
oversized_source_files19

Key facts

91GitHub stars
3contributors
1,384commits, last 12 months
0days since last push
84releases
1bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-12: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 91 stars today.

More detail

Star and fork history 88 ★ / 9 ⇿
88Stars
9Forks
79Releases

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 2026-07-12. 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.

02040608010088852020-102023-092026-07
Major 1Minor 13Patch 64

Each point covers 6 days.

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 12:13 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/18 approved changesets -- score normalized to 0
10Contributorsproject has 4 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
n/aPackagingpackaging workflow not 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities25 existing vulnerabilities detected
All dependencies 52

Full resolved dependency set from the GitHub dependency graph: 0 direct and 52 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalabaster0.7.16indirect
PyPIanyio4.4.0indirect
PyPIbabel2.15.0indirect
PyPIbiopython—indirect
PyPIbiopython1.76indirect
PyPIcertifi2024.6.2indirect
PyPIcharset-normalizer3.3.2indirect
PyPIclick8.1.7indirect
PyPIcolorama0.4.6indirect
PyPIdocutils0.20.1indirect
PyPIexceptiongroup1.2.1indirect
PyPIh110.14.0indirect
PyPIidna3.7indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata7.1.0indirect
PyPIjinja23.1.4indirect
PyPImarkupsafe2.1.5indirect
PyPImatplotlib—indirect
PyPImock5.1.0indirect
PyPInumpy—indirect
PyPIpackaging24.0indirect
PyPIpygments2.18.0indirect
PyPIpytest8.3.5indirect
PyPIpytest-cov4.1.0indirect
PyPIpytest-mock3.14.0indirect
PyPIrequests2.32.3indirect
PyPIscikit-learn—indirect
PyPIscikit-learn1.4.2indirect
PyPIscipy—indirect
PyPIscipy1.4.1indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer2.2.0indirect
PyPIsphinx7.3.7indirect
PyPIsphinx-autobuild2024.4.16indirect
PyPIsphinx-rtd-theme2.0.0indirect
PyPIsphinxcontrib-applehelp1.0.8indirect
PyPIsphinxcontrib-devhelp1.0.6indirect
PyPIsphinxcontrib-htmlhelp2.0.5indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp1.0.7indirect
PyPIsphinxcontrib-serializinghtml1.1.10indirect
PyPIstarlette0.37.2indirect
PyPItomli2.0.1indirect
PyPItqdm—indirect
PyPItyping-extensions4.12.1indirect
PyPIumap-learn—indirect
PyPIurllib32.2.1indirect
PyPIuvicorn0.30.1indirect
PyPIwatchfiles0.22.0indirect
PyPIwebsockets12.0indirect
PyPIzipp3.19.1indirect
Dependency advisories 0

Installing pypi:phykit@2.7.0 pulls in 23 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.