Public record
Software health reportschema 0.30.0 · metrics 2.10.0 · 2026-08-04 17:38 UTC

aio-libs / aiobotocore

asyncio support for botocore library using aiohttp

PythonApache-2.0★ 1,421 stars⑂ 207 forkssince May 2015View on GitHub ↗
KindLibraryhow this is determined
#asyncio#aiohttp#botocore#aws#aws-sdk#cloud-management#cloud

aio-libs/aiobotocore holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Sustainability & Governance (82/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

98
overall / 100
Exceptional

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.

98
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 88 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

aio-libsOrganization
1,200 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 publish
PyPIaiobotocore3.9.0-1353 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 1 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 222 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year222
human_commit_share0.39
days_since_last_push1
active_weeks_last_year43

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 3 days ago
27/27Release cadence — a release every ~18.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag3.9.0
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases18.7
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?

85Excellent · 17% of overall

Popularity & adoption

78Good
How it's scored
51.1/60Stars — 1,421 stars
19.3/25Forks — 207 forks
7.1/15Watchers — 20 watchers
Inputs used
forks207
stars1,421
watchers20
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

82Excellent · 23% of overall

Maintainer resilience (bus factor)

65Good
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
16.5/22.5Commit distribution — top contributor authored 27% of commits
13.5/13.5Contributor breadth — 70 contributors
10/10OpenSSF Scorecard: Contributors — project has 46 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled70
top_contributor_share0.267

Issue & PR responsiveness

73Good
How it's scored
40.7/42Issue resolution — 97% of issues closed
17.8/30PR acceptance — 712/1,201 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 2/11 approved changesets -- score normalized to 1
Inputs used
merged_prs712
open_issues14
closed_issues425
prs_merged_7d6
prs_decided_7d8
prs_merged_30d11
prs_decided_30d13
issue_closed_ratio0.968
closed_unmerged_prs489
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

96Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
22.1/25Owner reach — 1,200 followers of aio-libs
25/25Track record — 68 public repos, account ~12 yr old
Inputs used
followers1,200
owner_typeOrganization
is_verified—
owner_loginaio-libs
public_repos68
account_age_days4,516
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 3 days ago
20/20Version history — 135 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesaiobotocore
ecosystemspypi
any_deprecatedno
min_days_since_publish3

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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 site — https://aiobotocore.aio-libs.org
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsasyncio, aiohttp, botocore, aws, aws-sdk, cloud-management, cloud
has_wikino
homepagehttps://aiobotocore.aio-libs.org
docs_sitehttps://aiobotocore.aio-libs.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

85Excellent · 16% of overall

Security posture

81Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 2/11 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 46 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 — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8.1
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_packages16
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:aiobotocore@3.9.0 runtime dependency closure — what installing the published package pulls in — 16 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.

84Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 39 of 39 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes9,606

Verify loop (build / test / typecheck)

88Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 29 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 48 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.29
toolchain_manifests—
dependency_bot_commit_share0.48

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.5/55Manageable file sizes — 1/113 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes85,933
source_files_sampled113
oversized_source_files1

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
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

1,421GitHub stars
70contributors
222commits, last 12 months
1days since last push
100releases
2bus factor
14open 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 ★ / 207 ⇿
0Stars
207Forks
99Releases

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.

0408012016020024020572015-082021-022026-07
Major 3Minor 40Patch 55

Each point covers 11 days.

OpenSSF Scorecard 8.1 / 10
8.1aggregate

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 · 2026-08-04 17:37 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/11 approved changesets -- score normalized to 1
10Contributorsproject has 46 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 13 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIaiohttp>= 3.14.0, < 4.0.0pyproject.toml
PyPIaioitertools>= 0.5.1, < 1.0.0pyproject.toml
PyPIbotocore>= 1.43.3, < 1.43.63pyproject.toml
PyPIpython-dateutil>= 2.1, < 3.0.0pyproject.toml
PyPIjmespath>= 0.7.1, < 2.0.0pyproject.toml
PyPImultidict>= 6.0.0, < 7.0.0pyproject.toml
PyPItyping-extensions>= 4.14.0, < 5.0.0pyproject.toml
PyPIwrapt>= 1.10.10, < 3.0.0pyproject.toml
All dependencies 134

Full resolved dependency set from the GitHub dependency graph: 8 direct and 126 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp3.14.3direct
PyPIaioitertools0.13.0direct
PyPIbotocore1.43.62direct
PyPIjmespath1.1.0direct
PyPImultidict6.7.1direct
PyPIpython-dateutil2.9.0.post0direct
PyPItyping-extensions4.15.0direct
PyPIwrapt2.2.2direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.119.0indirect
PyPIantlr4-python3-runtime4.13.2indirect
PyPIanyio4.14.2indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIaws-sam-translator1.106.0indirect
PyPIaws-xray-sdk2.15.0indirect
PyPIawscrt0.36.0indirect
PyPIbabel2.18.0indirect
PyPIblinker1.9.0indirect
PyPIboto31.43.62indirect
PyPIcertifi2026.4.22indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcfn-lint1.47.1indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.3indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.2indirect
PyPIcryptography48.0.1indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIdocker7.2.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfilelock3.29.0indirect
PyPIflask3.1.3indirect
PyPIflask-cors6.0.2indirect
PyPIfrozenlist1.8.0indirect
PyPIgraphql-core3.2.8indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.7.0indirect
PyPIhttpx0.28.1indirect
PyPIhttpx22.7.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.14.0indirect
PyPIjoserfc1.6.8indirect
PyPIjsonpatch1.33indirect
PyPIjsonpath-ng1.8.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.4.6indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlazy-object-proxy1.12.0indirect
PyPImarkupsafe3.0.3indirect
PyPImoto5.2.0indirect
PyPImpmath1.3.0indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInodeenv1.10.0indirect
PyPIopenapi-schema-validator0.8.1indirect
PyPIopenapi-spec-validator0.8.5indirect
PyPIoutcome1.3.0.post0indirect
PyPIpackaging26.2indirect
PyPIpastel0.2.1indirect
PyPIpathable0.5.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpoethepoet0.48.0indirect
PyPIpre-commit4.6.1indirect
PyPIpropcache0.5.2indirect
PyPIpy-partiql-parser0.6.3indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov5.0.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-xdist3.5.0indirect
PyPIpython-discovery1.3.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpywin32311indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.5.9indirect
PyPIrequests2.33.1indirect
PyPIresponses0.26.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIs3transfer0.19.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsympy1.14.0indirect
PyPItime-machine3.2.0indirect
PyPItiny-proxy0.3.0indirect
PyPItomli2.4.1indirect
PyPItrio0.33.0indirect
PyPItrustme1.2.1indirect
PyPItruststore0.10.4indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.3.1indirect
PyPIwerkzeug3.1.8indirect
PyPIxmltodict1.0.4indirect
PyPIyarl1.23.0indirect
Dependency advisories 0

Installing pypi:aiobotocore@3.9.0 pulls in 16 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

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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 v0.30.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.