Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 14:33 UTC

Expl0dingBanana / aioafero

Python · HTMLMIT★ 7 stars⑂ 6 forkssince Apr 2025View on GitHub ↗

Expl0dingBanana/aioafero holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (44/100). It was last updated today. 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

Christopher DohmenPersonal account
6 followers31 public repossince Jul 2015

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIaioafero9.2.1-581 day agoaferoafero-iothubspace

Metrics by category

Vitality

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

76Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
11.1/36Commit cadence16/52 weeks with commits
16.8/18Commit volume73 commits in the last year
10/10OpenSSF Scorecard: Maintained26 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year73
human_commit_share0.85
days_since_last_push0
active_weeks_last_year16
How it's scored
16.2/27Ships releases37 version tags (no GitHub releases)
27/36Release recencylatest release 114 days ago
27/27Release cadencea release every ~25.7 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count37
latest_release_tag7.0.1
releases_from_tagsyes
days_since_latest_release114
mean_days_between_releases25.7
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?

44Weak · 17% of overall
How it's scored
12.6/60Stars7 stars
5.8/25Forks6 forks
3.3/15Watchers5 watchers
Inputs used
forks6
stars7
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com
has_pull_request_templateno

Sustainability & Governance

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

59Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.7/22.5Commit distributiontop contributor authored 97% of commits
6.8/13.5Contributor breadth5 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.97
How it's scored
42/42Issue resolution100% of issues closed
29.1/30PR acceptance96/99 decided PRs merged
13/13Newcomer PR acceptance2/2 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 2/18 approved changesets -- score normalized to 1
Inputs used
merged_prs96
open_issues0
closed_issues3
prs_merged_7d2
prs_decided_7d2
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio1
closed_unmerged_prs3
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
6.1/25Owner reach6 followers of Expl0dingBanana
23/25Track record31 public repos, account ~11 yr old
Inputs used
followers6
owner_typeUser
is_verified
owner_loginExpl0dingBanana
public_repos31
account_age_days4,092
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 1 days ago
20/20Version history58 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesaioafero
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff]), tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://aioafero.readthedocs.io/en/latest/
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_sitehttps://aioafero.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

67Good · 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
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 2/18 approved changesets -- score normalized to 1
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
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
7.5/7.5Maintained26 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTno data
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.9
Excluded from scoring (no data or not applicable): CI-Tests, SAST, 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_packages13
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:aioafero@9.2.1 runtime dependency closure — what installing the published package pulls in — 13 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.

75Good · 4% of overall
How it's scored
45/45Agent instructions.github/copilot-instructions.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
33.9/40Legible commit history54 of 85 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.635
agent_instruction_files.github/copilot-instructions.md, AGENTS.md
agent_instruction_max_bytes7,460
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff]), tox.ini
0/11Static type checking
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice6 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance15 of the last 100 commits are automated dependency updates
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_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.06
toolchain_manifests
dependency_bot_commit_share0.15
How it's scored
0/45Type-checkable codePython without a type-check config
54.4/55Manageable file sizes1/88 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes105,013
source_files_sampled88
oversized_source_files1

Key facts

7GitHub stars
5contributors
73commits, last 12 months
0days since last push
37releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'aioafero' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 6 ⇿
0Stars
6Forks
37Releases

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.

123456612025-042026-012026-09
Major 5Minor 13Patch 19

Each point covers 2 days.

OpenSSF Scorecard 5.9 / 10
5.9aggregate

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 · 2026-09-15 14:33 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsinternal error: internal error: Client.Repositories.ListCheckRunsForRef: error during graphqlHandler.setupCheckRuns: Something went wrong while executing your query on 2026-09-15T14:33:50Z. Please include `8742:25BD5A:1A9B05:19D2DB:6AA9574D` when reporting this issue.
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/18 approved changesets -- score normalized to 1
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained26 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
n/aSASTinternal error: internal error: Client.Checks.ListCheckRunsForRef: error during graphqlHandler.setupCheckRuns: Something went wrong while executing your query on 2026-09-15T14:33:50Z. Please include `8742:25BD5A:1A9B05:19D2DB:6AA9574D` when reporting this issue.
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIaiohttp>=3.14.3pyproject.toml
PyPIbeautifulsoup4>=4.12.0pyproject.toml
PyPIsecurelogging>=1.0.1pyproject.toml
All dependencies 7

Full resolved dependency set from the GitHub dependency graph: 3 direct and 4 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttpdirect
PyPIbeautifulsoup4direct
PyPIsecureloggingdirect
PyPIaioresponsesindirect
PyPIbanditindirect
PyPIpip-auditindirect
PyPIsphinxindirect
Dependency advisories 0

Installing pypi:aioafero@9.2.1 pulls in 13 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.