Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 13:01 UTC

pallets-eco / flask-sqlalchemy

Adds SQLAlchemy support to Flask

PythonBSD-3-Clause★ 4,310 stars⑂ 906 forkssince Jun 2010View on GitHub ↗
KindLibraryNetwork servicehow this is determined

pallets-eco/flask-sqlalchemy holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (95/100) and lowest on Vitality (39/100). It was last updated 100 days ago. A single contributor accounts for most of its recent work.

80
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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

Pallets EcosystemOrganization · verified domain
348 followers38 public repossince May 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIFlask-SQLAlchemy3.1.127,178,015351080 days ago

Metrics by category

Vitality

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

39Weak · 21% of overall
How it's scored
9.9/36Push recencylast push 100 days ago
0.7/36Commit cadence1/52 weeks with commits
11.1/18Commit volume16 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year16
human_commit_share0.7
days_since_last_push100
active_weeks_last_year1
How it's scored
27/27Ships releases22 releases published
0/36Release recencylatest release 1,080 days ago
27/27Release cadencea release every ~39.8 days
10/10OpenSSF Scorecard: Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count22
latest_release_tag3.1.1
releases_from_tagsno
days_since_latest_release1,080
mean_days_between_releases39.8

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

95Exceptional · 17% of overall
How it's scored
59/60Stars4,310 stars
24.6/25Forks906 forks
11.3/15Watchers111 watchers
Inputs used
forks906
stars4,310
watchers111
growth_stateorganic
growth_factor_pct100

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes
How it's scored
80/80Monthly downloads27,178,015 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesFlask-SQLAlchemy
dependents
ecosystemspypi
total_downloads
monthly_downloads27,178,015
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?

64Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
10.8/22.5Commit distributiontop contributor authored 52% of commits
13.5/13.5Contributor breadth97 contributors
10/10OpenSSF Scorecard: Contributorsproject has 68 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled97
top_contributor_share0.519
How it's scored
40.7/42Issue resolution97% of issues closed
16.7/30PR acceptance360/645 decided PRs merged
0/13Newcomer PR acceptance0/2 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 2/13 approved changesets -- score normalized to 1
Inputs used
merged_prs360
open_issues21
closed_issues661
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d2
issue_closed_ratio0.969
closed_unmerged_prs285
first_time_authors_30d2
first_time_prs_merged_30d0
first_time_prs_decided_30d2
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
18.3/25Owner reach348 followers of pallets-eco
22.1/25Track record38 public repos, account ~5 yr old
Inputs used
followers348
owner_typeOrganization
is_verifiedyes
owner_loginpallets-eco
public_repos38
account_age_days1,919
How it's scored
25/25Published & resolvable1 package(s) on pypi
4/35Publish recencylatest publish 1,080 days ago
20/20Version history35 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesFlask-SQLAlchemy
ecosystemspypi
any_deprecatedno
min_days_since_publish1,080

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests1 out of 3 merged PRs checked by a CI test -- score normalized to 3
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://flask-sqlalchemy.readthedocs.io
10/10Repository description
10/10Topics4 topics
0/10Wiki
Inputs used
topicspython, flask, sqlalchemy, flask-sqlalchemy
has_wikino
homepagehttps://flask-sqlalchemy.readthedocs.io
docs_sitehttps://flask-sqlalchemy.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0.8/2.5CI-Tests1 out of 3 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 2/13 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 68 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
0/7.5Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
5/5Pinned-Dependenciesall dependencies are pinned
0/5SASTSAST tool is not run on all commits -- score normalized to 0
4.5/5Security-Policysecurity policy file detected
7.5/7.5Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities18 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. 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:Flask-SQLAlchemy@3.1.1 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.

61Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
22.9/40Legible commit history30 of 70 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.429
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingsrc/flask_sqlalchemy/py.typed
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance23 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/flask_sqlalchemy/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.23
How it's scored
27/45Type-checkable codePython with type-check config (src/flask_sqlalchemy/py.typed)
55/55Manageable file sizes0/40 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes38,436
source_files_sampled40
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

4,310GitHub stars
97contributors
16commits, last 12 months
100days since last push
22releases
1bus factor
21open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-11: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 4310 stars today.

More detail

Star and fork history 4,313 ★ / 906 ⇿
4,313Stars
906Forks
22Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-11. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

01,0002,0003,0004,0005,0004,313879202010-062018-072026-08
Major 1Minor 4Patch 13

Each point covers 15 days.

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-08-27 13:01 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
3CI-Tests1 out of 3 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/13 approved changesets -- score normalized to 1
10Contributorsproject has 68 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-Policysecurity policy file detected
10Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities18 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIflask>=2.2.5pyproject.toml
PyPIsqlalchemy>=2.0.16pyproject.toml
All dependencies 78

Full resolved dependency set from the GitHub dependency graph: 2 direct and 76 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIflask3.0.3direct
PyPIsqlalchemy2.0.49direct
PyPIalabaster0.7.13indirect
PyPIanyio4.13.0indirect
PyPIast-serialize0.5.0indirect
PyPIbabel2.18.0indirect
PyPIblinker1.8.2indirect
PyPIbuild1.2.2.post1indirect
PyPIcachetools5.5.2indirect
PyPIcertifi2026.4.22indirect
PyPIcfgv3.4.0indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.1.8indirect
PyPIcolorama0.4.6indirect
PyPIdistlib0.4.0indirect
PyPIdocutils0.20.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.16.1indirect
PyPIflask-sqlalchemy3.1.1indirect
PyPIflit-coreindirect
PyPIgha-update0.2.0indirect
PyPIgreenlet3.1.1indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.15indirect
PyPIidna3.15indirect
PyPIimagesize1.5.0indirect
PyPIimportlib-metadata8.5.0indirect
PyPIimportlib-resources6.4.5indirect
PyPIiniconfig2.1.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.11.0indirect
PyPImarkupsafe2.1.5indirect
PyPImypy1.14.1indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpallets-sphinx-themes2.3.0indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.3.6indirect
PyPIpluggy1.5.0indirect
PyPIpre-commit4.3.0indirect
PyPIpre-commit-uv4.1.5indirect
PyPIpygments2.19.2indirect
PyPIpyproject-api1.8.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyright1.1.409indirect
PyPIpytest8.3.5indirect
PyPIpython-discovery1.3.1indirect
PyPIpytz2026.2indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.32.4indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.15.13indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx7.1.2indirect
PyPIsphinx-notfound-page1.1.0indirect
PyPIsphinxcontrib-applehelp1.0.4indirect
PyPIsphinxcontrib-devhelp1.0.2indirect
PyPIsphinxcontrib-htmlhelp2.0.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-log-cabinet1.0.1indirect
PyPIsphinxcontrib-qthelp1.0.3indirect
PyPIsphinxcontrib-serializinghtml1.1.5indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItox4.25.0indirect
PyPItox-uv1.13.1indirect
PyPItox-uv-bare1.35.2indirect
PyPItyping-extensions4.13.2indirect
PyPIurllib32.2.3indirect
PyPIuv0.11.14indirect
PyPIvirtualenv21.3.3indirect
PyPIwerkzeug3.0.6indirect
PyPIzipp3.20.2indirect
Dependency advisories 0

Installing pypi:Flask-SQLAlchemy@3.1.1 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 v0.34.0 — full methodology · metrics wiki.

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