Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 04:33 UTC

neo4j / neo4j-graphrag-python

Neo4j GraphRAG for Python

PythonCustom license★ 1,252 stars⑂ 235 forkssince Feb 2024View on GitHub ↗
KindLibraryhow this is determined
#ai#cypher#genai#graph-database#neo4j#python#python3#rag#graphrag

neo4j/neo4j-graphrag-python holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Security (76/100). It was last updated today. 3 contributors account for most of its recent work.

98
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.

98
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 88 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

Neo4jOrganization
1,326 followers97 public repossince Feb 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIneo4j-graphrag1.18.0429,8053549 days ago

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

92Excellent
How it's scored
36/36Push recency — last push 0 days ago
27.7/36Commit cadence — 40/52 weeks with commits
18/18Commit volume — 134 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year134
human_commit_share0.93
days_since_last_push0
active_weeks_last_year40

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 35 releases published
36/36Release recency — latest release 49 days ago
27/27Release cadence — a release every ~18.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count35
latest_release_tag1.18.0
releases_from_tagsno
days_since_latest_release49
mean_days_between_releases18.5
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?

79Good · 17% of overall

Popularity & adoption

76Good
How it's scored
50.2/60Stars — 1,252 stars
19.7/25Forks — 235 forks
6.2/15Watchers — 14 watchers
Inputs used
forks235
stars1,252
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

71Good
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

94Exceptional
How it's scored
75.1/80Monthly downloads — 429,805 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesneo4j-graphrag
dependents—
ecosystemspypi
total_downloads—
monthly_downloads429,805
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?

89Excellent · 23% of overall

Maintainer resilience (bus factor)

76Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.1/22.5Commit distribution — top contributor authored 28% of commits
13.5/13.5Contributor breadth — 38 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled38
top_contributor_share0.283

Issue & PR responsiveness

86Excellent
How it's scored
37.4/42Issue resolution — 89% of issues closed
26.1/30PR acceptance — 400/459 decided PRs merged
8.7/13Newcomer PR acceptance — 4/6 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 21/23 approved changesets -- score normalized to 9
Inputs used
merged_prs400
open_issues13
closed_issues105
prs_merged_7d6
prs_decided_7d7
prs_merged_30d16
prs_decided_30d23
issue_closed_ratio0.89
closed_unmerged_prs59
first_time_authors_30d3
first_time_prs_merged_30d4
first_time_prs_decided_30d6

Ownership & stewardship

97Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
22.5/25Owner reach — 1,326 followers of neo4j
25/25Track record — 97 public repos, account ~16 yr old
Inputs used
followers1,326
owner_typeOrganization
is_verified—
owner_loginneo4j
public_repos97
account_age_days6,027
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 49 days ago
20/20Version history — 35 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesneo4j-graphrag
ecosystemspypi
any_deprecatedno
min_days_since_publish49

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 28 out of 28 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://neo4j.com/docs/neo4j-graphrag-python/current/
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicsai, cypher, genai, graph-database, neo4j, python, python3, rag, graphrag
has_wikino
homepagehttps://neo4j.com/docs/neo4j-graphrag-python/current/
docs_sitehttps://neo4j.com/docs/neo4j-graphrag-python/current/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

76Good · 16% of overall

Security posture

70Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 28 out of 28 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
6.8/7.5Code-Review — Found 21/23 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 5 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
2.5/5SAST — SAST tool is not run on all commits -- score normalized to 5
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 — 125 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7
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 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_packages15
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:neo4j-graphrag@1.18.0 runtime dependency closure — what installing the published package pulls in — 15 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.

92Excellent · 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 — 74 of 93 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.796
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes7,719

Verify loop (build / test / typecheck)

98Exceptional
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — src/neo4j_graphrag/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 7 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/neo4j_graphrag/py.typed
agent_commit_share0.06
toolchain_manifests—
dependency_bot_commit_share0.07

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/neo4j_graphrag/py.typed)
54.5/55Manageable file sizes — 3/344 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes96,120
source_files_sampled344
oversized_source_files3

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 — examples
Inputs used
example_dirsexamples
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

1,252GitHub stars
38contributors
134commits, last 12 months
0days since last push
35releases
3bus factor
13open 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 ★ / 235 ⇿
0Stars
235Forks
35Releases

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.

0408012016020024023342024-052025-062026-08
Major 1Minor 22Patch 12

Each point covers 3 days.

OpenSSF Scorecard 7.0 / 10
7.0aggregate

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 · 2026-08-13 04:32 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-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 21/23 approved changesets -- score normalized to 9
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
5SASTSAST tool is not run on all commits -- score normalized to 5
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities125 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIneo4j>=5.17.0,<7.0.0pyproject.toml
PyPIpydantic>=2.6.3,<3.0.0pyproject.toml
PyPIfsspec>=2024.9.0pyproject.toml
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PyPIscipy>=1.15.0,<2.0.0pyproject.toml
PyPItenacity>=9.1.2,<10.0.0pyproject.toml
All dependencies 287

Full resolved dependency set from the GitHub dependency graph: 12 direct and 275 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIsmart-open7.5.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8.1indirect
PyPIspacy3.8.7indirect
PyPIspacy-legacy3.0.12indirect
PyPIspacy-loggers1.0.5indirect
PyPIsphinx7.4.7indirect
PyPIsphinx-autodoc-typehints2.3.0indirect
PyPIsphinx-jinja2-compat0.4.1indirect
PyPIsphinx-prompt1.10.2indirect
PyPIsphinx-prompt1.8.0indirect
PyPIsphinx-tabs3.4.5indirect
PyPIsphinx-toolbox4.1.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.0.45indirect
PyPIsrsly2.5.2indirect
PyPIstack-data0.6.3indirect
PyPIstandard-imghdr3.10.14indirect
PyPIstriprtf0.0.26indirect
PyPIsympy1.14.0indirect
PyPItabulate0.9.0indirect
PyPIthinc8.3.10indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken0.12.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.3.0indirect
PyPItorch2.9.1indirect
PyPItqdm4.67.1indirect
PyPItraitlets5.14.3indirect
PyPItransformers4.57.3indirect
PyPItriton3.5.1indirect
PyPItyper0.21.1indirect
PyPItyper-slim0.21.1indirect
PyPItypes-requests2.31.0.6indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.12.0indirect
PyPIvalidators0.35.0indirect
PyPIvirtualenv20.35.4indirect
PyPIwasabi1.1.3indirect
PyPIwcwidth0.2.14indirect
PyPIweasel0.4.3indirect
PyPIweaviate-client4.19.2indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets15.0.1indirect
PyPIwrapt2.0.1indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:neo4j-graphrag@1.18.0 pulls in 15 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.