Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 00:59 UTC

smithyhq / sqladmin

SQLAlchemy Admin for FastAPI and Starlette

PythonBSD-3-Clause★ 2,812 stars⑂ 295 forkssince Dec 2021View on GitHub ↗
KindLibraryNetwork servicehow this is determined

smithyhq/sqladmin holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Security (57/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

Smithy HQOrganization
4 followers3 public repossince Mar 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsqladmin0.31.0944,268576 days agosqlalchemyfastapistarletteadmin

Metrics by category

Vitality

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

87Excellent · 21% of overall
How it's scored
36/36Push recencylast push 6 days ago
14.5/36Commit cadence21/52 weeks with commits
18/18Commit volume126 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year126
human_commit_share0.84
days_since_last_push6
active_weeks_last_year21

Release discipline

100Exceptional
How it's scored
27/27Ships releases55 releases published
36/36Release recencylatest release 6 days ago
27/27Release cadencea release every ~12.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count55
latest_release_tag0.31.0
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases12.3
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
How it's scored
55.9/60Stars2,812 stars
20.6/25Forks295 forks
6/15Watchers13 watchers
Inputs used
forks295
stars2,812
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, codecov.io, github.com, shields.io
has_pull_request_templateno
How it's scored
79.7/80Monthly downloads944,268 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagessqladmin
dependents
ecosystemspypi
total_downloads
monthly_downloads944,268
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?

65Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
9.1/22.5Commit distributiontop contributor authored 60% of commits
13.5/13.5Contributor breadth99 contributors
10/10OpenSSF Scorecard: Contributorsproject has 11 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled99
top_contributor_share0.595
How it's scored
37.9/42Issue resolution90% of issues closed
25.9/30PR acceptance501/580 decided PRs merged
7.8/13Newcomer PR acceptance3/5 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-ReviewFound 11/23 approved changesets -- score normalized to 4
Inputs used
merged_prs501
open_issues31
closed_issues285
prs_merged_7d8
prs_decided_7d8
prs_merged_30d15
prs_decided_30d17
issue_closed_ratio0.902
closed_unmerged_prs79
first_time_authors_30d4
first_time_prs_merged_30d3
first_time_prs_decided_30d5
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
5/25Owner reach4 followers of smithyhq
5.1/25Track record3 public repos, account ~0 yr old
Inputs used
followers4
owner_typeOrganization
is_verified
owner_loginsmithyhq
public_repos3
account_age_days134
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 6 days ago
20/20Version history57 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessqladmin
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests25 out of 25 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://smithyhq.github.io/sqladmin/
10/10Repository description
10/10Topics10 topics
0/10Wiki
Inputs used
topicspython, sqlalchemy, fastapi, starlette, asgi, wsgi, asyncio, web, admin, admin-dashboard
has_wikino
homepagehttps://smithyhq.github.io/sqladmin/
docs_sitehttps://smithyhq.github.io/sqladmin/
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
2.5/2.5CI-Tests25 out of 25 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3/7.5Code-ReviewFound 11/23 approved changesets -- score normalized to 4
2.5/2.5Contributorsproject has 11 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 12 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
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities11 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_packages10
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:sqladmin@0.31.0 runtime dependency closure — what installing the published package pulls in — 10 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.

64Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history73 of 84 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.869
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingsqladmin/py.typed
10/10Reproducible environmentlockfile
6/10Demonstrated agent practice3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance16 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssqladmin/py.typed
agent_commit_share0.03
toolchain_manifests
dependency_bot_commit_share0.16
How it's scored
27/45Type-checkable codePython with type-check config (sqladmin/py.typed)
52/55Manageable file sizes4/73 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes83,517
source_files_sampled73
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplescookbook
Inputs used
example_dirscookbook
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

2,812GitHub stars
99contributors
126commits, last 12 months
6days since last push
55releases
1bus factor
31open 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 ★ / 295 ⇿
0Stars
295Forks
52Releases

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.

05010015020025030029042022-012024-042026-07
Major 0Minor 29Patch 23

Each point covers 5 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 00:59 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests25 out of 25 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 11/23 approved changesets -- score normalized to 4
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 12 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
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
0Vulnerabilities11 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIstarlette>=0.50,<2.0.0pyproject.toml
PyPIwtforms>=3.1, <3.3pyproject.toml
PyPIjinja2pyproject.toml
PyPIpython-multipartpyproject.toml
PyPIsqlalchemy>= 2.0pyproject.toml
All dependencies 86

Full resolved dependency set from the GitHub dependency graph: 5 direct and 81 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjinja23.1.6direct
PyPIpython-multipart0.0.28direct
PyPIsqlalchemy2.0.49direct
PyPIstarlette1.0.0direct
PyPIwtforms3.2.2direct
PyPIaiosqlite0.22.1indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIarrow1.4.0indirect
PyPIast-serialize0.6.0indirect
PyPIasync-timeout5.0.1indirect
PyPIasyncpg0.31.0indirect
PyPIbabel2.18.0indirect
PyPIbandit1.9.4indirect
PyPIboto31.42.91indirect
PyPIbotocore1.42.91indirect
PyPIbuild1.4.3indirect
PyPIcertifi2026.2.25indirect
PyPIclick8.3.2indirect
PyPIcolorama0.4.6indirect
PyPIcolour0.1.5indirect
PyPIcoverage7.13.5indirect
PyPIdeepmerge2.0indirect
PyPIdnspython2.8.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastapi-storages0.4.0indirect
PyPIghp-import2.1.0indirect
PyPIgreenlet3.4.0indirect
PyPIgriffelib2.0.2indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.11indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjmespath1.1.0indirect
PyPIlibrt0.13.0indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocstrings1.0.4indirect
PyPImkdocstrings-python2.0.3indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.1indirect
PyPIpathspec1.0.4indirect
PyPIphonenumbers9.0.35indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpsycopg3.3.3indirect
PyPIpsycopg-binary3.3.3indirect
PyPIpsycopg2-binary2.9.12indirect
PyPIpydantic2.13.2indirect
PyPIpydantic-core2.46.2indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.1.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrich15.0.0indirect
PyPIruff0.15.20indirect
PyPIs3transfer0.16.0indirect
PyPIsix1.17.0indirect
PyPIsqladmin0.31.0indirect
PyPIsqlalchemy-utils0.42.1indirect
PyPIsqlmodel0.0.39indirect
PyPIstevedore5.7.0indirect
PyPItomli2.4.1indirect
PyPItypes-wtforms3.2.1.20260518indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.1indirect
PyPIurllib32.7.0indirect
PyPIwatchdog6.0.0indirect
PyPIzensical0.0.50indirect
PyPIzipp3.23.1indirect
Dependency advisories 0

Installing pypi:sqladmin@0.31.0 pulls in 10 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.