Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 18:23 UTC

mmore500 / hstrat

hstrat enables phylogenetic inference on distributed digital evolution populations

PythonCustom license★ 6 stars⑂ 2 forkssince Feb 2022View on GitHub ↗

mmore500/hstrat holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Engineering Quality (83/100) and lowest on Security (47/100). It was last updated today. A single contributor accounts for most of its recent work.

67
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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

Matthew Andres MorenoPersonal account
72 followers351 public repossince Jan 2015@umich

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 publishTags
PyPIhstrat1.26.24,8791170 days agohstrat

Metrics by category

Vitality

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

60Moderate · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
9/36Commit cadence — 13/52 weeks with commits
18/18Commit volume — 414 commits in the last year
10/10OpenSSF Scorecard: Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year414
human_commit_share1
days_since_last_push0
active_weeks_last_year13
How it's scored
27/27Ships releases — 3 releases published
7.2/36Release recency — latest release 426 days ago
5.4/27Release cadence — a release every ~507.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count3
latest_release_tagv1.20.10
releases_from_tagsno
days_since_latest_release426
mean_days_between_releases507.4

Community & Adoption

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

50Moderate · 17% of overall
How it's scored
11.3/60Stars — 6 stars
0/25Forks — 2 forks
0/15Watchers — 2 watchers
Inputs used
forks2
stars6
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

87Excellent
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicesapp.codacy.com, codecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno
How it's scored
49.2/80Monthly downloads — 4,879 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageshstrat
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,879
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?

63Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.5/22.5Commit distribution — top contributor authored 85% of commits
12.2/13.5Contributor breadth — 9 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled9
top_contributor_share0.846
How it's scored
32.6/42Issue resolution — 78% of issues closed
28.8/30PR acceptance — 255/266 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/29 approved changesets -- score normalized to 0
Inputs used
merged_prs255
open_issues25
closed_issues87
prs_merged_7d7
prs_decided_7d7
prs_merged_30d7
prs_decided_30d7
issue_closed_ratio0.777
closed_unmerged_prs11
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
13.4/25Owner reach — 72 followers of mmore500
25/25Track record — 351 public repos, account ~11 yr old
Inputs used
followers72
owner_typeUser
is_verified—
owner_loginmmore500
public_repos351
account_age_days4,280
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 0 days ago
20/20Version history — 117 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageshstrat
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

83Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.black], [tool.isort]), setup.cfg ([flake8]), tox.ini
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests — 8 out of 17 merged PRs checked by a CI test -- score normalized to 4
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://hstrat.readthedocs.io
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://hstrat.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

47Weak · 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
1/2.5CI-Tests — 8 out of 17 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 2/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 12 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate3.4

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories21
affected_packages6
assessed_packages230
unassessed_packages45
affected_by_severitycritical 1, high 2, moderate 3
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 230 resolved dependencies against OSV. 45 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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 instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
21.9/40Legible commit history — 41 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.41
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.black], [tool.isort]), setup.cfg ([flake8]), tox.ini
0/11Static type checking
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 35 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_configyes
typecheck_configs—
agent_commit_share0.35
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 1/1,342 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes67,448
source_files_sampled1,342
oversized_source_files1
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

6GitHub stars
9contributors
414commits, last 12 months
0days since last push
3releases
1bus factor
25open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:hstrat@1.26.2; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 2 ⇿
0Stars
2Forks
2Releases

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.

111222212022-112023-102024-10
Major 0Minor 1Patch 0

Each point covers 2 days.

OpenSSF Scorecard 3.4 / 10
3.4aggregate

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 · 2026-10-19 18:21 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
4CI-Tests8 out of 17 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/29 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities12 existing vulnerabilities detected
Direct dependencies 39
RegistryPackageVersion constraintManifest
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PyPIanytree>=2.8.0pyproject.toml
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PyPIpandera>=0.21.0pyproject.toml
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PyPIstatsmodels>=0.14.4pyproject.toml
PyPItyping_extensions>=4.7.1pyproject.toml
PyPItqdm>=4.62.3pyproject.toml
All dependencies 275

Full resolved dependency set from the GitHub dependency graph: 90 direct and 185 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIteeplot—indirect
PyPIteeplot1.5.0indirect
PyPItext-unidecode1.3indirect
PyPIthreadpoolctl3.7.0indirect
PyPItibs0.5.7indirect
PyPItibs2.0.2indirect
PyPItinycss21.5.1indirect
PyPItoml0.10.2indirect
PyPItomli2.5.0indirect
PyPItornado6.5.10indirect
PyPItox3.24.0indirect
PyPItqdist1.0indirect
PyPItraitlets5.16.1indirect
PyPItreeswift1.1.51indirect
PyPItwine1.14.0indirect
PyPItypeguard4.6.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.5indirect
PyPIurllib32.8.0indirect
PyPIuv0.4.18indirect
PyPIvalidators0.35.0indirect
PyPIvalidators0.36.0indirect
PyPIvirtualenv21.14.7indirect
PyPIwcwidth0.9.2indirect
PyPIwebencodings0.6.1indirect
PyPIwheel0.45.0indirect
PyPIwrapt2.5.1indirect
PyPIyarl1.25.1indirect
Dependency advisories 6

This repository publishes no package the index resolves, so its own dependency graph was assessed — 230 packages, which also include development and test pins that never ship: 6 carry known advisories, of which 0 are direct. 45 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
black22.10.0indirectcritical426.3.1
setuptools75.5.0indirecthigh483.0.0
wheel0.45.0indirecthigh20.46.2
pytest8.3.3indirectmoderate29.0.3
setuptools80.10.2indirectmoderate283.0.0
uv0.4.18indirectmoderate70.11.15

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

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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 v0.34.0 — full methodology · metrics wiki.

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