Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 10:34 UTC

graspologic-org / graspologic

Python package for graph statistics

PythonMIT★ 1,009 stars⑂ 173 forkssince Sep 2018View on GitHub ↗

graspologic-org/graspologic holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (80/100) and lowest on Vitality (40/100). It was last updated 85 days ago. 2 contributors account 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

graspologic-orgOrganization
11 followers2 public repossince May 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgraspologic3.4.483,774237368 days ago

Metrics by category

Vitality

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

40Weak · 21% of overall
How it's scored
18/36Push recency — last push 85 days ago
1.4/36Commit cadence — 2/52 weeks with commits
5.4/18Commit volume — 3 commits in the last year
1/10OpenSSF Scorecard: Maintained — 1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
Inputs used
commits_last_year3
human_commit_share0.97
days_since_last_push85
active_weeks_last_year2
How it's scored
27/27Ships releases — 19 releases published
7.2/36Release recency — latest release 368 days ago
19.8/27Release cadence — a release every ~111.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count19
latest_release_tagv3.4.4
releases_from_tagsno
days_since_latest_release368
mean_days_between_releases111.5
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?

77Good · 17% of overall
How it's scored
48.7/60Stars — 1,009 stars
18.6/25Forks — 173 forks
7.1/15Watchers — 20 watchers
Inputs used
forks173
stars1,009
watchers20
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
65.6/80Monthly downloads — 83,774 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgraspologic
dependents—
ecosystemspypi
total_downloads—
monthly_downloads83,774
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?

66Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
16.4/22.5Commit distribution — top contributor authored 27% of commits
13.5/13.5Contributor breadth — 55 contributors
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled55
top_contributor_share0.271
How it's scored
36.9/42Issue resolution — 88% of issues closed
20.5/30PR acceptance — 376/551 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 14/28 approved changesets -- score normalized to 5
Inputs used
merged_prs376
open_issues64
closed_issues466
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.879
closed_unmerged_prs175
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 backing — organization-owned
0/20Verified domain
7.8/25Owner reach — 11 followers of graspologic-org
8.2/25Track record — 2 public repos, account ~2 yr old
Inputs used
followers11
owner_typeOrganization
is_verifiedno
owner_logingraspologic-org
public_repos2
account_age_days854
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
14/35Publish recency — latest publish 368 days ago
20/20Version history — 237 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgraspologic
ecosystemspypi
any_deprecatedno
min_days_since_publish368

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
2/20OpenSSF Scorecard: CI-Tests — 4 out of 22 merged PRs checked by a CI test -- score normalized to 1
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://graspologic-org.github.io/graspologic/
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicsgraph, data-science, networks, python, machine-learning, graph-statistics
has_wikiyes
homepagehttps://graspologic-org.github.io/graspologic/
docs_sitehttps://graspologic-org.github.io/graspologic/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0.2/2.5CI-Tests — 4 out of 22 merged PRs checked by a CI test -- score normalized to 1
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 14/28 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 13 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
0.8/7.5Maintained — 1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 68 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.7
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_packages40
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:graspologic@3.4.4 runtime dependency closure — what installing the published package pulls in — 40 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.

67Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
36.8/40Legible commit history — 67 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.691
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — graspologic/py.typed, mypy.ini
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsgraspologic/py.typed, mypy.ini
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
27/45Type-checkable code — Python with type-check config (graspologic/py.typed, mypy.ini)
54.6/55Manageable file sizes — 1/147 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes64,193
source_files_sampled147
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 — notebooks
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

1,009GitHub stars
55contributors
3commits, last 12 months
85days since last push
19releases
2bus factor
64open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-17: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 1009 stars today.

More detail

Star and fork history 1,008 ★ / 173 ⇿
1,008Stars
173Forks
19Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-17. 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.

02004006008001,0001,2001,008164522018-092022-092026-08
Major 3Minor 4Patch 9

Each point covers 8 days.

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 10:33 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
1CI-Tests4 out of 22 merged PRs checked by a CI test -- score normalized to 1
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 14/28 approved changesets -- score normalized to 5
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
1Maintained1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities68 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIanytree>=2.12.1,<3.0.0pyproject.toml
PyPIbeartype>=0.20.0,<1.0.0pyproject.toml
PyPIfuture>=1.0.0,<2.0.0pyproject.toml
PyPIgensim>=4.3.3,<5.0.0pyproject.toml
PyPIgraspologic-native>=1.2.1,<2.0.0pyproject.toml
PyPIhyppo>=0.5.2,<0.6.0pyproject.toml
PyPIjoblib>=1.4.2,<2.0.0pyproject.toml
PyPImatplotlib>=3.8.4,<4.0.0pyproject.toml
PyPInetworkx>=3.0,<4.0pyproject.toml
PyPInumpy>=1.26.4,<2.0.0pyproject.toml
PyPIpot>=0.9,<0.10.0pyproject.toml
PyPIscikit-learn>=1.4.2,<2.0.0pyproject.toml
PyPIscipy>=1.12.0,<2.0.0pyproject.toml
PyPIseaborn>=0.13.2,<0.14.0pyproject.toml
PyPIstatsmodels>=0.14.2,<0.15.0pyproject.toml
PyPItyping-extensions>=4.4.0,<5.0.0pyproject.toml
PyPIumap-learn>=0.5.6,<0.6.0pyproject.toml
All dependencies 24

Full resolved dependency set from the GitHub dependency graph: 17 direct and 7 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanytree—direct
PyPIbeartype—direct
PyPIfuture—direct
PyPIgensim—direct
PyPIgraspologic-native—direct
PyPIhyppo—direct
PyPIjoblib—direct
PyPImatplotlib—direct
PyPInetworkx—direct
PyPInumpy—direct
PyPIpot—direct
PyPIscikit-learn—direct
PyPIscipy—direct
PyPIseaborn—direct
PyPIstatsmodels—direct
PyPItyping-extensions—direct
PyPIumap-learn—direct
PyPIipykernel—indirect
PyPIipython—indirect
PyPInbsphinx—indirect
PyPInumpydoc0.9.2indirect
PyPIsphinx1.8.5indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinxcontrib-rawfiles—indirect
Dependency advisories 0

Installing pypi:graspologic@3.4.4 pulls in 40 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.