Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 19:58 UTC

x42005e1f / aiologic

GIL-powered* locking library for Python

PythonCustom license★ 92 stars⑂ 3 forkssince Sep 2024View on GitHub ↗
KindLibraryhow this is determined
#asyncio#concurrency#eventlet#gevent#greenlet#library#locking#python#synchronization#trio#async-await#mypy#threading#anyio#thread-safety#async

x42005e1f/aiologic holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Vitality (85/100) and lowest on Security (38/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

62
overall / 100
Moderate

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.

62
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 58 is calibrated to 62 on the published index scale (record calibration 2026-08-02).

Ownership

Ilya EgorovPersonal account
11 followers4 public repossince Aug 2023

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
PyPIaiologic0.17.14,130,4592260 days agoanyioasyncasync-awaitasyncioconcurrencyeventletgeventgreenletlibrarylockingmypypythonsynchronizationthread-safetythreadingtrio

Metrics by category

Vitality

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

85Excellent · 21% of overall

Development activity

86Excellent
How it's scored
36/36Push recency — last push 3 days ago
21.5/36Commit cadence — 31/52 weeks with commits
18/18Commit volume — 178 commits in the last year
10/10OpenSSF Scorecard: Maintained — 23 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year178
human_commit_share0.8
days_since_last_push3
active_weeks_last_year31

Release discipline

83Excellent
How it's scored
27/27Ships releases — 20 releases published
36/36Release recency — latest release 60 days ago
19.8/27Release cadence — a release every ~66.8 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count20
latest_release_tag0.17.1
releases_from_tagsno
days_since_latest_release60
mean_days_between_releases66.8

Community & Adoption

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

54Moderate · 17% of overall

Popularity & adoption

34At Risk
How it's scored
31.8/60Stars — 92 stars
2.5/25Forks — 3 forks
0/15Watchers — 2 watchers
Inputs used
forks3
stars92
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold

Community health

44Weak
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 4,130,459 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesaiologic
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,130,459
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?

46Weak · 23% of overall

Maintainer resilience (bus factor)

12Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5Commit distribution — top contributor authored 100% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.997

Issue & PR responsiveness

52Moderate
How it's scored
16.8/42Issue resolution — 40% of issues closed
28.8/30PR acceptance — 25/26 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/21 approved changesets -- score normalized to 0
Inputs used
merged_prs25
open_issues6
closed_issues4
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.4
closed_unmerged_prs1
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.

Ownership & stewardship

36Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
7.8/25Owner reach — 11 followers of x42005e1f
11.2/25Track record — 4 public repos, account ~3 yr old
Inputs used
followers11
owner_typeUser
is_verified—
owner_loginx42005e1f
public_repos4
account_age_days1,113
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 60 days ago
20/20Version history — 22 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesaiologic
ecosystemspypi
any_deprecatedno
min_days_since_publish60

Engineering Quality

Are baseline engineering and documentation practices in place?

66Good · 19% of overall

Engineering practices

50Moderate
How it's scored
24/24CI workflows — 1 workflow(s)
0/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 9 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://aiologic.readthedocs.io
10/10Repository description
10/10Topics — 16 topics
0/10Wiki
Inputs used
topicsasyncio, concurrency, eventlet, gevent, greenlet, library, locking, python, synchronization, trio, async-await, mypy, threading, anyio, thread-safety, async
has_wikino
homepagehttps://aiologic.readthedocs.io
docs_sitehttps://aiologic.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

38Weak · 16% of overall

Security posture

23At Risk
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
0/2.5CI-Tests — 0 out of 9 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/21 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
0/10Dangerous-Workflow — no data
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 23 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — no data
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — no data
0/7.5Vulnerabilities — 14 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated14
scorecard_versionv5.5.0
checks_inconclusive4
scorecard_aggregate2.3
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Token-Permissions. 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_packages2
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:aiologic@0.17.1 runtime dependency closure — what installing the published package pulls in — 2 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.

46Weak · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 80 of 80 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

36Weak
How it's scored
0/18One-command bootstrap
0/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/aiologic/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsno
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/aiologic/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/aiologic/py.typed)
55/55Manageable file sizes — 0/38 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes53,707
source_files_sampled38
oversized_source_files0

Key facts

92GitHub stars
2contributors
178commits, last 12 months
3days since last push
20releases
1bus factor
6open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-08: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 92 stars today.

More detail

Star and fork history 93 ★ / 3 ⇿
93Stars
3Forks
19Releases

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.

Star history is shown as collected on 2026-07-08. 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.

02040608010093342024-092025-082026-07
Major 0Minor 15Patch 4

Each point covers 2 days.

OpenSSF Scorecard 2.3 / 10
2.3aggregate

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 19:58 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 9 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/21 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained23 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
n/aToken-PermissionsNo tokens found
0Vulnerabilities14 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIsniffio>=1.3.0pyproject.toml
PyPItyping-extensions>=4.10.0pyproject.toml
PyPIwrapt>=1.16.0pyproject.toml
All dependencies 81

Full resolved dependency set from the GitHub dependency graph: 6 direct and 75 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIsniffio—direct
PyPIsniffio1.3.1direct
PyPItyping-extensions—direct
PyPItyping-extensions4.12.2direct
PyPIwrapt—direct
PyPIwrapt1.17.2direct
PyPIalabaster0.7.13indirect
PyPIalabaster0.7.16indirect
PyPIalabaster1.0.0indirect
PyPIanyio4.5.2indirect
PyPIanyio4.8.0indirect
PyPIattrs25.1.0indirect
PyPIbabel2.17.0indirect
PyPIcertifi2025.1.31indirect
PyPIcffi1.17.1indirect
PyPIcharset-normalizer3.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcurio1.6indirect
PyPIdnspython2.6.1indirect
PyPIdnspython2.7.0indirect
PyPIdocutils0.20.1indirect
PyPIdocutils0.21.2indirect
PyPIeventlet0.39.0indirect
PyPIexceptiongroup1.2.2indirect
PyPIgevent24.11.1indirect
PyPIgevent24.2.1indirect
PyPIgreenlet3.1.1indirect
PyPIidna3.10indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata8.5.0indirect
PyPIimportlib-metadata8.6.1indirect
PyPIjinja23.1.5indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe2.1.5indirect
PyPImarkupsafe3.0.2indirect
PyPImdit-py-plugins0.4.2indirect
PyPImdurl0.1.2indirect
PyPImyst-parser3.0.1indirect
PyPImyst-parser4.0.1indirect
PyPIoutcome1.3.0.post0indirect
PyPIpackaging24.2indirect
PyPIpycparser2.22indirect
PyPIpygments2.19.1indirect
PyPIpytz2025.1indirect
PyPIpyyaml6.0.2indirect
PyPIrequests2.32.3indirect
PyPIroman-numerals-py3.0.0indirect
PyPIsetuptools75.3.0indirect
PyPIsetuptools75.8.0indirect
PyPIsnowballstemmer2.2.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx7.1.2indirect
PyPIsphinx7.4.7indirect
PyPIsphinx8.1.3indirect
PyPIsphinx8.2.0indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-inline-tabs2023.4.21indirect
PyPIsphinx-rtd-theme3.0.2indirect
PyPIsphinxcontrib-applehelp1.0.4indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-autodoc-inherit-overload2023.4indirect
PyPIsphinxcontrib-devhelp1.0.2indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.0.1indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp1.0.3indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml1.1.5indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.2.1indirect
PyPItrio0.27.0indirect
PyPItrio0.29.0indirect
PyPItrio-asyncio0.15.0indirect
PyPIurllib32.2.3indirect
PyPIurllib32.3.0indirect
PyPIzipp3.20.2indirect
PyPIzipp3.21.0indirect
PyPIzope-event5.0indirect
PyPIzope-interface7.2indirect
Dependency advisories 0

Installing pypi:aiologic@0.17.1 pulls in 2 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.

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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.