Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 16:00 UTC

aio-libs / aiokafka

asyncio client for kafka

PythonApache-2.0★ 1,399 stars⑂ 266 forkssince Nov 2014View on GitHub ↗

aio-libs/aiokafka holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (88/100) and lowest on Vitality (62/100). It was last updated 18 days ago. 2 contributors account for most of its recent work.

88
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.

88
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 74 is calibrated to 88 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 publish
PyPIaiokafka0.14.014,353,48936120 days ago

Metrics by category

Vitality

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

62Moderate · 21% of overall
How it's scored
28.8/36Push recencylast push 18 days ago
6.9/36Commit cadence10/52 weeks with commits
11.3/18Commit volume17 commits in the last year
2/10OpenSSF Scorecard: Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
Inputs used
commits_last_year17
human_commit_share1
days_since_last_push18
active_weeks_last_year10
How it's scored
27/27Ships releases35 releases published
27/36Release recencylatest release 120 days ago
19.8/27Release cadencea release every ~98.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count35
latest_release_tagv0.14.0
releases_from_tagsno
days_since_latest_release120
mean_days_between_releases98.8
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?

88Excellent · 17% of overall
How it's scored
51/60Stars1,399 stars
20.2/25Forks266 forks
7.1/15Watchers20 watchers
Inputs used
forks266
stars1,399
watchers20
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com
has_pull_request_templateyes
How it's scored
80/80Monthly downloads14,353,489 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesaiokafka
dependents
ecosystemspypi
total_downloads
monthly_downloads14,353,489
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?

72Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12/22.5Commit distributiontop contributor authored 47% of commits
13.5/13.5Contributor breadth76 contributors
10/10OpenSSF Scorecard: Contributorsproject has 47 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled76
top_contributor_share0.467
How it's scored
25.3/42Issue resolution60% of issues closed
18.4/30PR acceptance435/709 decided PRs merged
6.5/13Newcomer PR acceptance1/2 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 17/30 approved changesets -- score normalized to 5
Inputs used
merged_prs435
open_issues159
closed_issues241
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d3
issue_closed_ratio0.603
closed_unmerged_prs274
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d2
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

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 120 days ago
20/20Version history36 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesaiokafka
ecosystemspypi
any_deprecatedno
min_days_since_publish120

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests14 out of 24 merged PRs checked by a CI test -- score normalized to 5
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttp://aiokafka.readthedocs.io/
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicsasyncio, kafka, kafka-client
has_wikiyes
homepagehttp://aiokafka.readthedocs.io/
docs_sitehttp://aiokafka.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
1.2/2.5CI-Tests14 out of 24 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-ReviewFound 17/30 approved changesets -- score normalized to 5
2.5/2.5Contributorsproject has 47 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
1.5/7.5Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
4/5SASTSAST tool detected but not run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.8
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 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_packages3
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:aiokafka@0.14.0 runtime dependency closure — what installing the published package pulls in — 3 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.

63Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://docs.docker.com/llms.txt)
36.3/40Legible commit history68 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.docker.com/llms.txt
legible_history_share0.68
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docker/Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docker/Makefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.1/55Manageable file sizes2/116 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes86,802
source_files_sampled116
oversized_source_files2
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

1,399GitHub stars
76contributors
17commits, last 12 months
18days since last push
35releases
2bus factor
159open 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 ★ / 266 ⇿
0Stars
266Forks
35Releases

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.

05010015020025030026162015-042020-112026-07
Major 0Minor 14Patch 16

Each point covers 11 days.

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 15:59 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
5CI-Tests14 out of 24 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 17/30 approved changesets -- score normalized to 5
10Contributorsproject has 47 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
8SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIasync-timeoutpyproject.toml
PyPIpackagingpyproject.toml
PyPItyping_extensions>=4.10.0pyproject.toml
All dependencies 19

Full resolved dependency set from the GitHub dependency graph: 1 direct and 18 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIasync-timeout5.0.1direct
PyPIalabaster1.0.0indirect
PyPIbuild1.3.0indirect
PyPIcramjam2.11.0indirect
PyPIcython3.2.2indirect
PyPIdiff-cover9.7.2indirect
PyPIdocker7.1.0indirect
PyPIdocutils0.21.2indirect
PyPIgssapi1.10.1indirect
PyPImypy1.19.0indirect
PyPIpygments2.19.2indirect
PyPIpytest9.0.2indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-mock3.15.1indirect
PyPIruff0.14.8indirect
PyPIsphinx8.1.3indirect
PyPIsphinxcontrib-asyncio0.3.0indirect
PyPIsphinxcontrib-spelling8.0.2indirect
Dependency advisories 0

Installing pypi:aiokafka@0.14.0 pulls in 3 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.