Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 15:40 UTC

tortoise / aerich

A database migrations tool for TortoiseORM, ready to production.

PythonApache-2.0★ 1,082 stars⑂ 113 forkssince May 2020View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

tortoise/aerich holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (85/100) and lowest on Security (65/100). It was last updated 18 days ago. A single contributor accounts for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

TortoiseOrganization
94 followers9 public repossince Aug 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIaerich0.10.1200,8795118 days agomigratetortoise-ormmysqlpostgresql

Metrics by category

Vitality

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

77Good · 21% of overall
How it's scored
28.8/36Push recency — last push 18 days ago
17.3/36Commit cadence — 25/52 weeks with commits
15.8/18Commit volume — 57 commits in the last year
10/10OpenSSF Scorecard: Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year57
human_commit_share0.96
days_since_last_push18
active_weeks_last_year25
How it's scored
27/27Ships releases — 47 releases published
36/36Release recency — latest release 18 days ago
12.6/27Release cadence — a release every ~125.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count47
latest_release_tagv0.10.1
releases_from_tagsno
days_since_latest_release18
mean_days_between_releases125.7
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?

69Good · 17% of overall
How it's scored
49.2/60Stars — 1,082 stars
17.1/25Forks — 113 forks
6.4/15Watchers — 15 watchers
Inputs used
forks113
stars1,082
watchers15
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno
How it's scored
70.7/80Monthly downloads — 200,879 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesaerich
dependents—
ecosystemspypi
total_downloads—
monthly_downloads200,879
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?

67Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.1/22.5Commit distribution — top contributor authored 55% of commits
13.5/13.5Contributor breadth — 41 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled41
top_contributor_share0.551
How it's scored
39.3/42Issue resolution — 94% of issues closed
24.6/30PR acceptance — 179/218 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/27 approved changesets -- score normalized to 0
Inputs used
merged_prs179
open_issues22
closed_issues316
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.935
closed_unmerged_prs39
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 backing — organization-owned
0/20Verified domain
14.2/25Owner reach — 94 followers of tortoise
19.3/25Track record — 9 public repos, account ~8 yr old
Inputs used
followers94
owner_typeOrganization
is_verifiedno
owner_logintortoise
public_repos9
account_age_days2,940

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 18 days ago
20/20Version history — 51 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesaerich
ecosystemspypi
any_deprecatedno
min_days_since_publish18

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 28 out of 30 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://github.com/tortoise/aerich
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicstortoise-orm, migration-tool, mysql, postgresql, database-migrations, orm
has_wikiyes
homepagehttps://github.com/tortoise/aerich
docs_sitehttps://github.com/tortoise/aerich
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

65Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.2/2.5CI-Tests — 28 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 2/27 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 4 contributing companies or organizations
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 — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages9
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:aerich@0.10.1 runtime dependency closure — what installing the published package pulls in — 9 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.

68Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 95 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile, justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — aerich/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, justfile
has_devcontainerno
has_linter_configyes
typecheck_configsaerich/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.04
How it's scored
27/45Type-checkable code — Python with type-check config (aerich/py.typed)
54.7/55Manageable file sizes — 1/159 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes64,979
source_files_sampled159
oversized_source_files1

Key facts

1,082GitHub stars
41contributors
57commits, last 12 months
18days since last push
47releases
1bus factor
22open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-05-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 1082 stars today.

More detail

Star and fork history 1,087 ★ / 113 ⇿
1,087Stars
113Forks
44Releases

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 2026-05-21. 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.

02004006008001,0001,2001,087111852020-052023-052026-06
Major 0Minor 8Patch 34

Each point covers 6 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-09-12 15:40 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests28 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/27 approved changesets -- score normalized to 0
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPItortoise-orm(>=0.25.0,!=1.0.0,<2.0.0)pyproject.toml
PyPIdictdiffer(>=0.9.0,<1.0.0)pyproject.toml
PyPIasyncclick(>=8.3.0,<9.0.0)pyproject.toml
PyPIanyio(>=3.6.2,<5.0.0)pyproject.toml
All dependencies 147

Full resolved dependency set from the GitHub dependency graph: 9 direct and 138 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanyio1.3.0direct
PyPIanyio4.14.2direct
PyPIasyncclick7.0.9direct
PyPIasyncclick8.3.0.3direct
PyPIasyncclick8.4.2.1direct
PyPIdictdiffer0.10.0direct
PyPItortoise-orm—direct
PyPItortoise-orm0.16.12direct
PyPItortoise-orm1.1.8direct
PyPIaerich—indirect
PyPIaiomysql0.0.20indirect
PyPIaiomysql0.3.2indirect
PyPIaiosqlite0.13.0indirect
PyPIaiosqlite0.22.1indirect
PyPIalembic—indirect
PyPIannotated-types0.8.0indirect
PyPIapipkg1.5indirect
PyPIappdirs1.4.4indirect
PyPIasync-generator1.10indirect
PyPIasync-timeout5.0.1indirect
PyPIasyncmy0.2.14indirect
PyPIasyncpg0.20.1indirect
PyPIasyncpg0.31.0indirect
PyPIatomicwrites1.4.0indirect
PyPIattrs19.3.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbandit1.9.4indirect
PyPIbcrypt4.3.0indirect
PyPIblack19.10b0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi1.14.0indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIciso86012.1.3indirect
PyPIclick7.1.2indirect
PyPIcolorama0.4.3indirect
PyPIcolorama0.4.6indirect
PyPIcoverage—indirect
PyPIcoverage7.15.4indirect
PyPIcryptography2.9.2indirect
PyPIcryptography50.0.0indirect
PyPIdocutils0.23indirect
PyPIemail-validator—indirect
PyPIemails—indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet1.7.1indirect
PyPIfastapi—indirect
PyPIflake83.8.2indirect
PyPIhatchling—indirect
PyPIhttpx—indirect
PyPIid1.6.1indirect
PyPIidna3.19indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIiso86010.1.12indirect
PyPIiso86012.1.0indirect
PyPIisort4.3.21indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja2—indirect
PyPIkeyring25.7.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImccabe0.6.1indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImore-itertools8.3.0indirect
PyPImypy—indirect
PyPImypy0.770indirect
PyPImypy-extensions0.4.3indirect
PyPInh30.3.7indirect
PyPInuitka—indirect
PyPIpackaging20.4indirect
PyPIpackaging26.3indirect
PyPIpasslib—indirect
PyPIpathspec0.8.0indirect
PyPIpluggy0.13.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit—indirect
PyPIpsycopg—indirect
PyPIpsycopg3.3.4indirect
PyPIpsycopg-binary3.3.4indirect
PyPIpsycopg-pool3.3.1indirect
PyPIpy1.8.1indirect
PyPIpycodestyle2.6.0indirect
PyPIpycparser2.20indirect
PyPIpycparser3.0indirect
PyPIpydantic—indirect
PyPIpydantic1.5.1indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings—indirect
PyPIpydantic-settings2.15.0indirect
PyPIpyflakes2.2.0indirect
PyPIpygments2.21.0indirect
PyPIpyjwt—indirect
PyPIpymysql0.9.2indirect
PyPIpymysql1.2.0indirect
PyPIpyparsing2.4.7indirect
PyPIpypika0.37.6indirect
PyPIpypika-tortoise0.6.5indirect
PyPIpytest—indirect
PyPIpytest5.4.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio0.12.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-forked1.1.3indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-xdist1.32.0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-multipart—indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer45.0indirect
PyPIregex2020.5.14indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIruff—indirect
PyPIruff0.16.4indirect
PyPIsecretstorage3.5.0indirect
PyPIsentry-sdk—indirect
PyPIsix1.15.0indirect
PyPIsniffio1.1.0indirect
PyPIsqlmodel—indirect
PyPIstevedore5.8.0indirect
PyPIstevedore5.9.1indirect
PyPItaskipy1.2.1indirect
PyPItenacity—indirect
PyPItoml0.10.1indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.1indirect
PyPItortoise-vector0.2.0indirect
PyPItwine7.0.0indirect
PyPIty0.0.74indirect
PyPItyped-ast1.4.1indirect
PyPItypes-passlib—indirect
PyPItyping-extensions3.7.4.2indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIwcwidth0.1.9indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:aerich@0.10.1 pulls in 9 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 statistics — PyPI.