Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 03:25 UTC

simonw / sqlite-utils

Python CLI utility and library for manipulating SQLite databases

PythonApache-2.0★ 2,148 stars⑂ 163 forkssince Jul 2018View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

simonw/sqlite-utils holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (84/100) and lowest on Security (57/100). It was last updated today. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Simon WillisonPersonal account
16,400 followers984 public repossince May 2008Datasette

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 publish
PyPIsqlite-utils4.1.1-13731 days ago

Metrics by category

Vitality

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

84Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
9/36Commit cadence13/52 weeks with commits
18/18Commit volume193 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year193
human_commit_share1
days_since_last_push0
active_weeks_last_year13

Release discipline

100Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 17 days ago
27/27Release cadencea release every ~27.1 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tag3.39.1
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases27.1
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?

75Good · 17% of overall
How it's scored
54/60Stars2,148 stars
18.4/25Forks163 forks
7.4/15Watchers22 watchers
Inputs used
forks163
stars2,148
watchers22
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno

Sustainability & Governance

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

63Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.8/22.5Commit distributiontop contributor authored 92% of commits
13.5/13.5Contributor breadth53 contributors
6/10OpenSSF Scorecard: Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled53
top_contributor_share0.919
How it's scored
36.4/42Issue resolution87% of issues closed
21.3/30PR acceptance147/207 decided PRs merged
3.1/13Newcomer PR acceptance4/17 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 5/26 approved changesets -- score normalized to 1
Inputs used
merged_prs147
open_issues79
closed_issues509
prs_merged_7d7
prs_decided_7d14
prs_merged_30d9
prs_decided_30d22
issue_closed_ratio0.866
closed_unmerged_prs60
first_time_authors_30d10
first_time_prs_merged_30d4
first_time_prs_decided_30d17
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
25/25Owner reach16,400 followers of simonw
25/25Track record984 public repos, account ~18 yr old
Inputs used
followers16,400
owner_typeUser
is_verified
owner_loginsimonw
public_repos984
account_age_days6,671
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 31 days ago
20/20Version history137 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessqlite-utils
ecosystemspypi
any_deprecatedno
min_days_since_publish31

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests13 out of 14 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://sqlite-utils.datasette.io
10/10Repository description
10/10Topics8 topics
0/10Wiki
Inputs used
topicssqlite, python, datasette, sqlite-database, click, cli, datasette-io, datasette-tool
has_wikino
homepagehttps://sqlite-utils.datasette.io
docs_sitehttps://sqlite-utils.datasette.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

57Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.2/2.5CI-Tests13 out of 14 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 5/26 approved changesets -- score normalized to 1
1.5/2.5Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
3.5/5SASTSAST tool detected but not run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages8
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:sqlite-utils@4.1.1 runtime dependency closure — what installing the published package pulls in — 8 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.

62Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
36.8/40Legible commit history69 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.69
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapJustfile, docs/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checkingmypy.ini, sqlite_utils/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice36 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesJustfile, docs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configsmypy.ini, sqlite_utils/py.typed
agent_commit_share0.36
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini, sqlite_utils/py.typed)
51.7/55Manageable file sizes4/67 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes218,260
source_files_sampled67
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
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

2,148GitHub stars
53contributors
193commits, last 12 months
0days since last push
100releases
1bus factor
79open 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 ★ / 163 ⇿
0Stars
163Forks
100Releases

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.

0408012016020016352019-022022-112026-08
Major 0Minor 0Patch 27

Each point covers 7 days.

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-08-13 03:25 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests13 out of 14 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 5/26 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool detected but not run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIclick>=8.3.1pyproject.toml
PyPIclick-default-group>=1.2.3pyproject.toml
PyPIpluggypyproject.toml
PyPIpython-dateutilpyproject.toml
PyPIsqlite-fts4pyproject.toml
PyPItabulatepyproject.toml
PyPIpippyproject.toml
All dependencies 7

Full resolved dependency set from the GitHub dependency graph: 3 direct and 4 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclickdirect
PyPIclick-default-groupdirect
PyPItabulatedirect
PyPIblackindirect
PyPIpyrightindirect
PyPIsetuptoolsindirect
PyPItyindirect
Dependency advisories 0

Installing pypi:sqlite-utils@4.1.1 pulls in 8 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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.