Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 23:12 UTC

reata / sqllineage

SQL Lineage Analysis Tool powered by Python

PythonMIT★ 1,675 stars⑂ 282 forkssince May 2019View on GitHub ↗
KindDesktop applicationCommand-line toolWeb interfacehow this is determined
#data-discovery#data-lineage#lineage#metadata#sql#data-governance

reata/sqllineage holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (61/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

reataPersonal account
61 followers13 public repossince Jun 2014eBay

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
PyPIsqllineage1.5.91,192,3764712 days agodata-discoverydata-governancedata-lineagelineagemetadatasql

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

84Excellent
How it's scored
36/36Push recency — last push 6 days ago
20.8/36Commit cadence — 30/52 weeks with commits
17.7/18Commit volume — 93 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year93
human_commit_share0.66
days_since_last_push6
active_weeks_last_year30

Release discipline

92Excellent
How it's scored
27/27Ships releases — 47 releases published
36/36Release recency — latest release 12 days ago
19.8/27Release cadence — a release every ~108 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count47
latest_release_tagv1.5.9
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases108
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?

82Excellent · 17% of overall

Popularity & adoption

80Excellent
How it's scored
52.3/60Stars — 1,675 stars
20.4/25Forks — 282 forks
7.5/15Watchers — 23 watchers
Inputs used
forks282
stars1,675
watchers23
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 1,192,376 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessqllineage
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,192,376
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?

61Moderate · 23% of overall

Maintainer resilience (bus factor)

28At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.7/22.5Commit distribution — top contributor authored 88% of commits
13.5/13.5Contributor breadth — 21 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled21
top_contributor_share0.88

Issue & PR responsiveness

77Good
How it's scored
36.3/42Issue resolution — 86% of issues closed
27.4/30PR acceptance — 414/453 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 4/14 approved changesets -- score normalized to 2
Inputs used
merged_prs414
open_issues46
closed_issues293
prs_merged_7d0
prs_decided_7d0
prs_merged_30d14
prs_decided_30d14
issue_closed_ratio0.864
closed_unmerged_prs39
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.

Ownership & stewardship

54Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
12.9/25Owner reach — 61 followers of reata
20.3/25Track record — 13 public repos, account ~12 yr old
Inputs used
followers61
owner_typeUser
is_verified—
owner_loginreata
public_repos13
account_age_days4,462
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 12 days ago
20/20Version history — 47 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessqllineage
ecosystemspypi
any_deprecatedno
min_days_since_publish12

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://sqllineage.readthedocs.io/en/latest/
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicsdata-discovery, data-lineage, lineage, metadata, sql, data-governance
has_wikiyes
homepage—
docs_sitehttps://sqllineage.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

64Moderate · 16% of overall

Security posture

55Moderate
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 — 30 out of 30 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
1.5/7.5Code-Review — Found 4/14 approved changesets -- score normalized to 2
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.5
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_packages22
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:sqllineage@1.5.9 runtime dependency closure — what installing the published package pulls in — 22 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

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 66 of 66 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

81Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checking — sqllineage/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 34 of the last 100 commits are automated dependency updates
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssqllineage/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.34

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (sqllineage/py.typed)
55/55Manageable file sizes — 0/131 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes24,662
source_files_sampled131
oversized_source_files0

Key facts

1,675GitHub stars
21contributors
93commits, last 12 months
6days since last push
47releases
1bus factor
46open issues
npm, 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 ★ / 282 ⇿
0Stars
282Forks
43Releases

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.

050100150200250300275122020-082023-082026-09
Major 1Minor 6Patch 36

Each point covers 6 days.

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-09-17 23:12 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-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 4/14 approved changesets -- score normalized to 2
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 19
RegistryPackageVersion constraintManifest
PyPIsqlparse>=0.5.4pyproject.toml
PyPIsqlfluff>=4.2.0pyproject.toml
PyPIsqlalchemy>=1.4.0pyproject.toml
PyPInetworkx>=2.4pyproject.toml
PyPIrustworkx>=0.16.0pyproject.toml
npm@emotion/react^11.14.0sqllineagejs/package.json
npm@emotion/styled^11.14.1sqllineagejs/package.json
npm@monaco-editor/react^4.7.0sqllineagejs/package.json
npm@mui/icons-material^9.4.0sqllineagejs/package.json
npm@mui/material^9.3.1sqllineagejs/package.json
npm@mui/x-tree-view^9.13.0sqllineagejs/package.json
npm@reduxjs/toolkit^2.12.0sqllineagejs/package.json
npmcytoscape^3.34.3sqllineagejs/package.json
npmcytoscape-dagre^4.0.1sqllineagejs/package.json
npmreact^19.2.8sqllineagejs/package.json
npmreact-cytoscapejs^2.0.0sqllineagejs/package.json
npmreact-dom^19.2.8sqllineagejs/package.json
npmreact-redux^9.3.0sqllineagejs/package.json
npmreact-router-dom^7.18.3sqllineagejs/package.json
All dependencies 309

Full resolved dependency set from the GitHub dependency graph: 19 direct and 290 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPInetworkx—direct
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npmimurmurhash0.1.4indirect
npmis-arrayish0.2.1indirect
npmis-core-module2.16.1indirect
npmis-extglob2.1.1indirect
npmis-glob4.0.3indirect
npmisexe2.0.0indirect
npmjs-tokens4.0.0indirect
npmjsesc3.1.0indirect
npmjson-parse-even-better-errors2.3.1indirect
npmjson-schema-traverse0.4.1indirect
npmjson-stable-stringify-without-jsonify1.0.1indirect
npmjson52.2.3indirect
npmkeyv5.6.0indirect
npmlevn0.4.1indirect
npmlightningcss1.33.0indirect
npmlightningcss-android-arm641.33.0indirect
npmlightningcss-darwin-arm641.33.0indirect
npmlightningcss-darwin-x641.33.0indirect
npmlightningcss-freebsd-x641.33.0indirect
npmlightningcss-linux-arm-gnueabihf1.33.0indirect
npmlightningcss-linux-arm64-gnu1.33.0indirect
npmlightningcss-linux-arm64-musl1.33.0indirect
npmlightningcss-linux-x64-gnu1.33.0indirect
npmlightningcss-linux-x64-musl1.33.0indirect
npmlightningcss-win32-arm64-msvc1.33.0indirect
npmlightningcss-win32-x64-msvc1.33.0indirect
npmlines-and-columns1.2.4indirect
npmlocate-path6.0.0indirect
npmloose-envify1.4.0indirect
npmlru-cache5.1.1indirect
npmmarked14.0.0indirect
npmminimatch10.2.6indirect
npmmonaco-editor0.56.0indirect
npmms2.1.3indirect
npmnanoid3.3.18indirect
npmnapi-postinstall0.3.4indirect
npmnatural-compare1.4.0indirect
npmnode-releases2.0.53indirect
npmobject-assign4.1.1indirect
npmoptionator0.9.4indirect
npmp-limit3.1.0indirect
npmp-locate5.0.0indirect
npmparent-module1.0.1indirect
npmparse-json5.2.0indirect
npmpath-exists4.0.0indirect
npmpath-key3.1.1indirect
npmpath-parse1.0.7indirect
npmpath-type4.0.0indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.5indirect
npmpostcss8.5.26indirect
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npmprettier3.9.6indirect
npmprop-types15.8.1indirect
npmpunycode2.3.1indirect
npmqified0.10.1indirect
npmreact-is16.13.1indirect
npmreact-is19.2.8indirect
npmreact-router7.18.3indirect
npmreact-transition-group4.4.5indirect
npmredux5.0.1indirect
npmredux-thunk3.1.0indirect
npmreselect5.2.0indirect
npmresolve1.22.12indirect
npmresolve-from4.0.0indirect
npmresolve-pkg-maps1.0.0indirect
npmrolldown1.2.4indirect
npmscheduler0.27.0indirect
npmsemver6.3.1indirect
npmsemver7.8.5indirect
npmset-cookie-parser2.7.2indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmsource-map0.5.7indirect
npmsource-map-js1.2.1indirect
npmstable-hash-x0.2.0indirect
npmstate-local1.0.7indirect
npmstylis4.2.0indirect
npmsupports-preserve-symlinks-flag1.0.0indirect
npmtinyglobby0.2.17indirect
npmtslib2.8.1indirect
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npmunrs-resolver1.12.2indirect
npmupdate-browserslist-db1.3.1indirect
npmuri-js4.4.1indirect
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npmzod4.4.3indirect
npmzod-validation-error4.0.2indirect
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PyPIwheel—indirect
Dependency advisories 0

Installing pypi:sqllineage@1.5.9 pulls in 22 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 v0.34.0 — full methodology · metrics wiki.

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