Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-14 01:28 UTC

litestar-org / sqlspec

A Query Mapper for Python

PythonMIT★ 103 stars⑂ 9 forkssince Mar 2024View on GitHub ↗
KindPluginCommand-line toolLibraryhow this is determined
#adbc#litestar#msgspec#mysql#oracle#postgresql#pydantic#sql#sqlserver#aiosqlite#asyncmy#asyncpg#bigquery#duckdb#oracledb#psycopg#sqlite#psqlpy

litestar-org/sqlspec holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Vitality (97/100) and lowest on Community & Adoption (66/100). It was last updated today. A single contributor accounts for most of its recent work.

95
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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

LitestarOrganization · verified domain
406 followers51 public repossince Jan 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIsqlspec0.67.09,9591100 days ago

Metrics by category

Vitality

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

97Exceptional · 21% of overall

Development activity

95Exceptional
How it's scored
36/36Push recency — last push 0 days ago
31.2/36Commit cadence — 45/52 weeks with commits
18/18Commit volume — 486 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year486
human_commit_share0.97
days_since_last_push0
active_weeks_last_year45

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~6.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.67.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases6.5
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?

66Good · 17% of overall

Popularity & adoption

42Weak
How it's scored
32.6/60Stars — 103 stars
7.5/25Forks — 9 forks
1.7/15Watchers — 3 watchers
Inputs used
forks9
stars103
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code 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_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

67Good
How it's scored
53.3/80Monthly downloads — 9,959 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessqlspec
dependents—
ecosystemspypi
total_downloads—
monthly_downloads9,959
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?

72Good · 23% of overall

Maintainer resilience (bus factor)

32At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.9/22.5Commit distribution — top contributor authored 92% of commits
10.8/13.5Contributor breadth — 8 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.915

Issue & PR responsiveness

80Excellent
How it's scored
41.5/42Issue resolution — 99% of issues closed
28.2/30PR acceptance — 568/604 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Inputs used
merged_prs568
open_issues3
closed_issues229
prs_merged_7d7
prs_decided_7d7
prs_merged_30d45
prs_decided_30d47
issue_closed_ratio0.987
closed_unmerged_prs36
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

91Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
18.8/25Owner reach — 406 followers of litestar-org
22/25Track record — 51 public repos, account ~4 yr old
Inputs used
followers406
owner_typeOrganization
is_verifiedyes
owner_loginlitestar-org
public_repos51
account_age_days1,741

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 — 110 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessqlspec
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — 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://sqlspec.dev
10/10Repository description
10/10Topics — 18 topics
10/10Wiki
Inputs used
topicsadbc, litestar, msgspec, mysql, oracle, postgresql, pydantic, sql, sqlserver, aiosqlite, asyncmy, asyncpg, bigquery, duckdb, oracledb, psycopg, sqlite, psqlpy
has_wikiyes
homepagehttps://sqlspec.dev
docs_sitehttps://sqlspec.dev
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

80Excellent · 16% of overall

Security posture

75Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
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
0/7.5Code-Review — Found 0/29 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
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 28 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
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
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.5
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
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
advisories0
affected_packages0
assessed_packages260
unassessed_packages0
affected_by_severitynone
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 260 resolved dependencies against OSV. 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.

74Good · 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 — 97 of 97 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)

88Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — sqlspec/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 3 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_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssqlspec/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.03

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (sqlspec/py.typed)
54/55Manageable file sizes — 30/1,596 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes330,014
source_files_sampled1,596
oversized_source_files30

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 — demos, examples, recipes
Inputs used
example_dirsdemos, examples, recipes
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

103GitHub stars
8contributors
486commits, last 12 months
0days since last push
100releases
1bus factor
3open 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:sqlspec@0.67.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 9 ⇿
0Stars
9Forks
93Releases

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.

0246810912025-032025-122026-09
Major 0Minor 53Patch 40

Each point covers 2 days.

OpenSSF Scorecard 7.5 / 10
7.5aggregate

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 · 2026-10-14 01:28 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
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
0Code-ReviewFound 0/29 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 28 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
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPItyping-extensions—pyproject.toml
PyPIsqlglot>=30.13.0pyproject.toml
PyPImypy-extensions—pyproject.toml
PyPIrich-click>=1.9.0pyproject.toml
All dependencies 260

Full resolved dependency set from the GitHub dependency graph: 4 direct and 256 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPImypy-extensions1.1.0direct
PyPIrich-click1.9.9direct
PyPIsqlglot30.22.0direct
PyPItyping-extensions4.16.0direct
PyPIadbc-driver-bigquery1.11.0indirect
PyPIadbc-driver-flightsql1.12.0indirect
PyPIadbc-driver-manager1.12.0indirect
PyPIadbc-driver-postgresql1.12.0indirect
PyPIadbc-driver-sqlite1.12.0indirect
PyPIaiobotocore3.9.2indirect
PyPIaiofiles25.1.0indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.5indirect
PyPIaioitertools0.13.0indirect
PyPIaiomysql0.3.2indirect
PyPIaiosignal1.4.0indirect
PyPIaiosqlite0.22.1indirect
PyPIalabaster1.0.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIarrow-odbc10.6.0indirect
PyPIast-serialize0.13.0indirect
PyPIasyncmy0.2.16indirect
PyPIasyncpg0.32.0indirect
PyPIasyncpg-stubs0.32.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.8.0indirect
PyPIauto-pytabs0.5.0indirect
PyPIazure-core1.41.0indirect
PyPIazure-identity1.26.0indirect
PyPIbabel2.18.0indirect
PyPIblinker1.9.0indirect
PyPIboltons26.2.0indirect
PyPIbotocore1.43.106indirect
PyPIbracex3.1indirect
PyPIbump-my-version1.6.0indirect
PyPIcattrs26.2.1indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.2indirect
PyPIclick8.5.0indirect
PyPIclick-extra9.4.1indirect
PyPIcloud-sql-python-connector1.22.0indirect
PyPIcloup4.0.0indirect
PyPIcolorama0.4.6indirect
PyPIcovdefaults2.3.0indirect
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PyPIduckdb1.5.6indirect
PyPIduckdb-engine0.17.0indirect
PyPIexecnet2.1.2indirect
PyPIextra-platforms13.12.0indirect
PyPIfaker40.43.0indirect
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PyPIflask3.1.3indirect
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PyPIgoogle-adk2.11.0indirect
PyPIgoogle-api-core2.34.0indirect
PyPIgoogle-auth2.62.0indirect
PyPIgoogle-cloud-alloydb0.11.3indirect
PyPIgoogle-cloud-alloydb-connector1.14.0indirect
PyPIgoogle-cloud-bigquery3.46.1indirect
PyPIgoogle-cloud-bigquery-storage2.42.0indirect
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PyPIgoogle-cloud-monitoring2.32.0indirect
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PyPIgoogle-cloud-storage3.17.0indirect
PyPIgoogle-crc32c1.9.0indirect
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PyPIsphinx-click6.2.0indirect
PyPIsphinx-copybutton0.5.2indirect
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PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
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PyPIsqlglotc30.22.0indirect
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PyPItypes-psutil7.2.2.20260906indirect
PyPItypes-pygments2.21.0.20260819indirect
PyPItypes-pymysql1.2.0.20260923indirect
PyPItypes-pytz2026.5.0.20261006indirect
PyPItypes-requests2.33.0.20261006indirect
PyPItypes-setuptools84.0.0.20261006indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.5indirect
PyPIujson6.0.0indirect
PyPIurllib32.8.0indirect
PyPIuuid-utils1.0.0indirect
PyPIuvicorn0.54.0indirect
PyPIuvloop0.23.0indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.3.0indirect
PyPIwcmatch11.1indirect
PyPIwcwidth0.9.2indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.9indirect
PyPIwrapt2.5.0indirect
PyPIyarl1.25.1indirect
PyPIzizmor1.30.1indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 260 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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.