Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 22:43 UTC

Graphify-Labs / graphify

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

PythonApache-2.0★ 102,471 stars⑂ 9,946 forkssince Apr 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#claude-code#graphrag#knowledge-graph#codex#openclaw#skills#antigravity#gemini#leiden#rag#tree-sitter#ai-agents#ast#code-analysis#code-search#cursor#developer-tools#llm#mcp

Graphify-Labs/graphify holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (95/100) and lowest on Security (49/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

86
overall / 100
Excellent

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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

Graphify LabsOrganization
331 followers2 public repossince Jun 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgraphifyy0.9.32-2003 days agoclaudeclaude-codecodexopencodekilocursorgeminiaiderkiropidevinknowledge-graphraggraphragobsidiancommunity-detectiontree-sitterleidenllm

Metrics by category

Vitality

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

82Excellent · 21% of overall

Development activity

76Good
How it's scored
36/36Push recency — last push 3 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 1,342 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_year1,342
human_commit_share1
days_since_last_push3
active_weeks_last_year18

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 3 days ago
27/27Release cadence — a release every ~1.2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.9.32
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases1.2

Community & Adoption

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

76Good · 17% of overall

Popularity & adoption

99Exceptional
How it's scored
60/60Stars — 102,471 stars
25/25Forks — 9,946 forks
14.1/15Watchers — 346 watchers
Inputs used
forks9,946
stars102,471
watchers346
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

56Moderate · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.5/22.5Commit distribution — top contributor authored 76% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled100
top_contributor_share0.755

Issue & PR responsiveness

35Weak
How it's scored
28.9/42Issue resolution — 69% of issues closed
5.7/30PR acceptance — 135/715 decided PRs merged
0/13Newcomer PR acceptance — 0/21 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs135
open_issues370
closed_issues815
prs_merged_7d0
prs_decided_7d31
prs_merged_30d0
prs_decided_30d60
issue_closed_ratio0.688
closed_unmerged_prs580
first_time_authors_30d11
first_time_prs_merged_30d0
first_time_prs_decided_30d21

Ownership & stewardship

65Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
18.1/25Owner reach — 331 followers of Graphify-Labs
3.7/25Track record — 2 public repos, account ~0 yr old
Inputs used
followers331
owner_typeOrganization
is_verified—
owner_loginGraphify-Labs
public_repos2
account_age_days37
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 3 days ago
20/20Version history — 200 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgraphifyy
ecosystemspypi
any_deprecatedno
min_days_since_publish3

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.graphify.com
10/10Repository description
10/10Topics — 19 topics
10/10Wiki
Inputs used
topicsclaude-code, graphrag, knowledge-graph, codex, openclaw, skills, antigravity, gemini, leiden, rag, tree-sitter, ai-agents, ast, code-analysis, code-search, cursor, developer-tools, llm, mcp
has_wikiyes
homepagehttps://www.graphify.com
docs_sitehttps://www.graphify.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

49Weak · 16% of overall

Security posture

36Weak
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
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 14 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
7.5/7.5Maintained — 30 commit(s) and 1 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 — no SAST tool detected
2/5Security-Policy — security policy file 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 — 23 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.6
Excluded from scoring (no data or not applicable): CI-Tests. 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_packages29
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:graphifyy@0.9.32 runtime dependency closure — what installing the published package pulls in — 29 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.

75Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes411

Verify loop (build / test / typecheck)

66Good
How it's scored
12.6/18One-command bootstrap — tests/fixtures/crate_a/Cargo.toml, tests/fixtures/crate_b/Cargo.toml, tests/fixtures/sample.csproj (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 53 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.53
toolchain_manifeststests/fixtures/crate_a/Cargo.toml, tests/fixtures/crate_b/Cargo.toml, tests/fixtures/sample.csproj, tests/fixtures/xaml_viewmodel/App.csproj
dependency_bot_commit_share0

Code legibility for models

52Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
52.2/55Manageable file sizes — 17/331 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes263,929
source_files_sampled331
oversized_source_files17

Machine-readable interfaces

100Exceptional
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 — example
Inputs used
example_dirsexample
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

102,471GitHub stars
100contributors
1,342commits, last 12 months
3days since last push
100releases
1bus factor
370open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 32 authors (cap 12)

More detail

Star and fork history 0 ★ / 9,946 ⇿
0Stars
9,946Forks
10Releases

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.

8,5009,0009,50010,0009,946852026-072026-072026-08
Major 0Minor 0Patch 10
OpenSSF Scorecard 3.6 / 10
3.6aggregate

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 · 2026-08-04 22:43 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 14 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update 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
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities23 existing vulnerabilities detected
Direct dependencies 29
RegistryPackageVersion constraintManifest
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PyPIrapidfuzz>=3.0pyproject.toml
PyPItree-sitter>=0.23.0,<0.26pyproject.toml
PyPItree-sitter-python>=0.23,<0.26pyproject.toml
PyPItree-sitter-javascript>=0.23,<0.26pyproject.toml
PyPItree-sitter-typescript>=0.23,<0.25pyproject.toml
PyPItree-sitter-go>=0.23,<0.26pyproject.toml
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PyPItree-sitter-groovy>=0.1,<0.3pyproject.toml
PyPItree-sitter-c>=0.23,<0.25pyproject.toml
PyPItree-sitter-cpp>=0.23,<0.25pyproject.toml
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PyPItree-sitter-zig>=1.0,<2.0pyproject.toml
PyPItree-sitter-powershell>=0.26,<0.28pyproject.toml
PyPItree-sitter-elixir>=0.3,<0.5pyproject.toml
PyPItree-sitter-objc>=3.0,<4.0pyproject.toml
PyPItree-sitter-julia>=0.23,<0.25pyproject.toml
PyPItree-sitter-verilog>=1.0,<2.0pyproject.toml
PyPItree-sitter-fortran>=0.6,<0.8pyproject.toml
PyPItree-sitter-bash>=0.23,<0.27pyproject.toml
PyPItree-sitter-json>=0.23,<0.26pyproject.toml
All dependencies 215

Full resolved dependency set from the GitHub dependency graph: 32 direct and 183 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIwheel—indirect
PyPIwheel0.47.0indirect
PyPIwrapt2.1.2indirect
PyPIyt-dlp2026.6.9indirect
PyPIzipp3.23.1indirect
Dependency advisories 0

Installing pypi:graphifyy@0.9.32 pulls in 29 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.

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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 v0.31.0 — full methodology · metrics wiki.

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