Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 19:32 UTC

dialoguemd / fastapi-sqla

SQLAlchemy extension for FastAPI with support for pagination, asyncio, SQLModel and pytest, ready for production.

PythonMIT★ 448 stars⑂ 17 forkssince Sep 2020View on GitHub ↗
KindLibraryPluginNetwork servicehow this is determined

dialoguemd/fastapi-sqla holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Engineering Quality (56/100). 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

DialogueOrganization · verified domain
43 followers4 public repossince May 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfastapi-sqla4.0.11,2887552 days agofastapisqlalchemyasynciopytestalembic

Metrics by category

Vitality

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

96Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
30.5/36Commit cadence44/52 weeks with commits
18/18Commit volume115 commits in the last year
10/10OpenSSF Scorecard: Maintained24 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year115
human_commit_share1
days_since_last_push0
active_weeks_last_year44

Release discipline

100Exceptional
How it's scored
27/27Ships releases80 releases published
36/36Release recencylatest release 52 days ago
27/27Release cadencea release every ~24.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count80
latest_release_tagv4.0.1
releases_from_tagsno
days_since_latest_release52
mean_days_between_releases24.8
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?

57Moderate · 17% of overall
How it's scored
43/60Stars448 stars
10/25Forks17 forks
7.7/15Watchers25 watchers
Inputs used
forks17
stars448
watchers25
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescircleci.com, codecov.io, shields.io
has_pull_request_templateyes
How it's scored
41.5/80Monthly downloads1,288 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesfastapi-sqla
dependents
ecosystemspypi
total_downloads
monthly_downloads1,288
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?

69Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
5.9/22.5Commit distributiontop contributor authored 74% of commits
13.5/13.5Contributor breadth12 contributors
6/10OpenSSF Scorecard: Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled12
top_contributor_share0.738
How it's scored
25.7/42Issue resolution61% of issues closed
28.2/30PR acceptance403/429 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
13.5/15OpenSSF Scorecard: Code-ReviewFound 28/30 approved changesets -- score normalized to 9
Inputs used
merged_prs403
open_issues7
closed_issues11
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.611
closed_unmerged_prs26
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.
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
11.8/25Owner reach43 followers of dialoguemd
17.1/25Track record4 public repos, account ~10 yr old
Inputs used
followers43
owner_typeOrganization
is_verifiedyes
owner_logindialoguemd
public_repos4
account_age_days3,791

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 52 days ago
20/20Version history75 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesfastapi-sqla
ecosystemspypi
any_deprecatedno
min_days_since_publish52

Engineering Quality

Are baseline engineering and documentation practices in place?

56Moderate · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics5 topics
0/10Wiki
Inputs used
topicsfastapi, fastapi-sqlalchemy, sqlalchemy, fastapi-sqla, library
has_wikino
homepage
docs_site
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

72Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
6/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests28 out of 28 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
6.8/7.5Code-ReviewFound 28/30 approved changesets -- score normalized to 9
1.5/2.5Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
0/10Dangerous-Workflowno data
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained24 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesno data
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-Permissionsno data
3.8/7.5Vulnerabilities5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. 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_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:fastapi-sqla@4.0.1 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.

66Good · 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 history86 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.86
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingfastapi_sqla/py.typed
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsfastapi_sqla/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (fastapi_sqla/py.typed)
55/55Manageable file sizes0/30 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes8,354
source_files_sampled30
oversized_source_files0

Key facts

448GitHub stars
12contributors
115commits, last 12 months
0days since last push
80releases
1bus factor
7open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

Star and fork history 0 ★ / 17 ⇿
0Stars
17Forks
51Releases

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.

0481216201712021-042023-052025-06
Major 2Minor 15Patch 34

Each point covers 4 days.

OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-09-19 19:32 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
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 28/30 approved changesets -- score normalized to 9
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained24 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIfastapi>=0.95.1,<0.142pyproject.toml
PyPIpydantic>=2,<3pyproject.toml
PyPIsqlalchemy>=1.3,<3pyproject.toml
PyPIstructlog>=20,<27pyproject.toml
PyPIdeprecated>=1.2,<2pyproject.toml
PyPIalembic>=1.4.3,<2pyproject.toml
PyPIasyncpg>=0.28.0,<0.32.0pyproject.toml
PyPIboto3>=1.24.74,<2pyproject.toml
PyPIpsycopg2>=2.8.6,<3pyproject.toml
PyPIsqlmodel>=0.0.14,<0.0.40pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 0

Installing pypi:fastapi-sqla@4.0.1 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.

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 v0.34.0 — full methodology · metrics wiki.

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