Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 14:35 UTC

aio-libs / aiomysql

aiomysql is a library for accessing a MySQL database from the asyncio

PythonMIT★ 1,896 stars⑂ 272 forkssince Jan 2015View on GitHub ↗

aio-libs/aiomysql holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Vitality (42/100). It was last updated 153 days ago. 2 contributors account 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

aio-libsOrganization
1,212 followers68 public repossince Mar 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIaiomysql0.3.215,921,52929309 days agomysqlmariadbasyncioaiomysql

Metrics by category

Vitality

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

42Weak · 21% of overall
How it's scored
9.9/36Push recencylast push 153 days ago
5.5/36Commit cadence8/52 weeks with commits
17.8/18Commit volume96 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year96
human_commit_share0.77
days_since_last_push153
active_weeks_last_year8
How it's scored
27/27Ships releases24 releases published
16.2/36Release recencylatest release 309 days ago
12.6/27Release cadencea release every ~296 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count24
latest_release_tagv0.3.2
releases_from_tagsno
days_since_latest_release309
mean_days_between_releases296

Community & Adoption

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

90Excellent · 17% of overall
How it's scored
53.2/60Stars1,896 stars
20.3/25Forks272 forks
8.8/15Watchers39 watchers
Inputs used
forks272
stars1,896
watchers39
growth_stateorganic
growth_factor_pct100

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
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_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, github.com, readthedocs.org
has_pull_request_templateyes
How it's scored
80/80Monthly downloads15,921,529 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesaiomysql
dependents
ecosystemspypi
total_downloads
monthly_downloads15,921,529
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
25.2/54Bus factor2 contributor(s) cover half of all commits
14.2/22.5Commit distributiontop contributor authored 37% of commits
13.5/13.5Contributor breadth86 contributors
10/10OpenSSF Scorecard: Contributorsproject has 45 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled86
top_contributor_share0.37
How it's scored
28.6/42Issue resolution68% of issues closed
15.1/30PR acceptance376/746 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/4 approved changesets -- score normalized to 0
Inputs used
merged_prs376
open_issues85
closed_issues182
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.682
closed_unmerged_prs370
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
0/20Verified domain
22.2/25Owner reach1,212 followers of aio-libs
25/25Track record68 public repos, account ~12 yr old
Inputs used
followers1,212
owner_typeOrganization
is_verifiedno
owner_loginaio-libs
public_repos68
account_age_days4,538
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 309 days ago
20/20Version history29 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesaiomysql
ecosystemspypi
any_deprecatedno
min_days_since_publish309

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.flake8
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests14 out of 14 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://aiomysql.rtfd.io
10/10Repository description
10/10Topics7 topics
0/10Wiki
Inputs used
topicsasyncio, mysql, mariadb, sqlalchemy, python, async, aiomysql
has_wikino
homepagehttps://aiomysql.rtfd.io
docs_sitehttps://aiomysql.rtfd.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

71Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests14 out of 14 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
0/7.5Code-ReviewFound 0/4 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 45 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 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packagingpackaging workflow detected
2.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.4

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_packages1
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:aiomysql@0.3.2 runtime dependency closure — what installing the published package pulls in — 1 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)
36/40Legible commit history52 of 77 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.675
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
11/11Lint / format config.flake8
0/11Static type checking
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance21 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.21
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/53 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes52,568
source_files_sampled53
oversized_source_files0
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 examplesexamples
Inputs used
example_dirsexamples
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

1,896GitHub stars
86contributors
96commits, last 12 months
153days since last push
24releases
2bus factor
85open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 1896 stars today.

More detail

Star and fork history 1,891 ★ / 272 ⇿
1,891Stars
272Forks
24Releases

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 2026-07-21. 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.

04008001,2001,6002,0001,891263142015-012020-102026-07
Major 0Minor 2Patch 21

Each point covers 11 days.

OpenSSF Scorecard 6.4 / 10
6.4aggregate

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 14:34 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/4 approved changesets -- score normalized to 0
10Contributorsproject has 45 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 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIPyMySQL>=1.0pyproject.toml
All dependencies 14

Full resolved dependency set from the GitHub dependency graph: 2 direct and 12 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpymysqldirect
PyPIpymysql1.1.2direct
PyPIcoverage7.10.7indirect
PyPIflake87.3.0indirect
PyPIfuro2025.12.19indirect
PyPIipdb0.13.13indirect
PyPIpytest8.4.2indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-sugar1.1.1indirect
PyPIsphinx8.2.3indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsqlalchemy1.3.24indirect
PyPItwine6.2.0indirect
PyPIuvloop0.22.1indirect
Dependency advisories 0

Installing pypi:aiomysql@0.3.2 pulls in 1 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.