Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 19:59 UTC

aio-libs / aiomonitor

aiomonitor is module that adds monitor and python REPL capabilities for asyncio application

Python · JavaScript · HTMLApache-2.0★ 777 stars⑂ 48 forkssince Dec 2016View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#asyncio#uvloop#async-await#mypy

aio-libs/aiomonitor holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Vitality (41/100). It was last updated 75 days ago. 2 contributors account 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

aio-libsOrganization
1,216 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
PyPIaiomonitor0.7.1242,97419676 days agoasyncioaiohttpmonitordebuggingutilitydevtool

Metrics by category

Vitality

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

41Weak · 21% of overall

Development activity

32At Risk
How it's scored
18/36Push recency — last push 75 days ago
2.1/36Commit cadence — 3/52 weeks with commits
11.9/18Commit volume — 20 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year20
human_commit_share0.63
days_since_last_push75
active_weeks_last_year3

Release discipline

55Moderate
How it's scored
27/27Ships releases — 19 releases published
7.2/36Release recency — latest release 676 days ago
12.6/27Release cadence — a release every ~236.9 days
8/10OpenSSF Scorecard: Signed-Releases — 4 out of the last 4 releases have a total of 4 signed artifacts.
Inputs used
releases_count19
latest_release_tagv0.7.1
releases_from_tagsno
days_since_latest_release676
mean_days_between_releases236.9

Community & Adoption

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

82Excellent · 17% of overall

Popularity & adoption

67Good
How it's scored
46.9/60Stars — 777 stars
13.9/25Forks — 48 forks
6.5/15Watchers — 16 watchers
Inputs used
forks48
stars777
watchers16
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

90Excellent
How it's scored
71.8/80Monthly downloads — 242,974 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesaiomonitor
dependents—
ecosystemspypi
total_downloads—
monthly_downloads242,974
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?

67Good · 23% of overall

Maintainer resilience (bus factor)

60Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.3/22.5Commit distribution — top contributor authored 50% of commits
13.5/13.5Contributor breadth — 20 contributors
10/10OpenSSF Scorecard: Contributors — project has 41 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled20
top_contributor_share0.496

Issue & PR responsiveness

55Moderate
How it's scored
28.9/42Issue resolution — 69% of issues closed
15.7/30PR acceptance — 215/411 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 4/14 approved changesets -- score normalized to 2
Inputs used
merged_prs215
open_issues10
closed_issues22
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.688
closed_unmerged_prs196
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

77Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.2/25Owner reach — 1,216 followers of aio-libs
25/25Track record — 68 public repos, account ~12 yr old
Inputs used
followers1,216
owner_typeOrganization
is_verifiedno
owner_loginaio-libs
public_repos68
account_age_days4,562

Package maintenance

79Good
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
14/35Publish recency — latest publish 676 days ago
20/20Version history — 19 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesaiomonitor
ecosystemspypi
any_deprecatedno
min_days_since_publish676

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests — 19 out of 27 merged PRs checked by a CI test -- score normalized to 7
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://aiomonitor.aio-libs.org
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsasyncio, uvloop, async-await, mypy
has_wikiyes
homepagehttps://aiomonitor.aio-libs.org
docs_sitehttps://aiomonitor.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?

61Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.8/2.5CI-Tests — 19 out of 27 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 4/14 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 41 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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 4 out of the last 4 releases have a total of 4 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 42 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Branch-Protection. 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_packages20
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:aiomonitor@0.7.1 runtime dependency closure — what installing the published package pulls in — 20 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

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
39.8/40Legible commit history — 47 of 63 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.746
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

71Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 31 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0.31

Code legibility for models

53Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.4/55Manageable file sizes — 1/34 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes372,777
source_files_sampled34
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

777GitHub stars
20contributors
20commits, last 12 months
75days since last push
19releases
2bus factor
10open 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 ★ / 48 ⇿
0Stars
48Forks
15Releases

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.

010203040504622016-122021-102026-07
Major 0Minor 6Patch 8

Each point covers 9 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-09-19 19:59 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
7CI-Tests19 out of 27 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 4/14 approved changesets -- score normalized to 2
10Contributorsproject has 41 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
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
8Signed-Releases4 out of the last 4 releases have a total of 4 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities42 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIattrs>=20pyproject.toml
PyPIaiohttp>=3.8.5pyproject.toml
PyPIclick>=8.0pyproject.toml
PyPIjanus>=1.0pyproject.toml
PyPIjinja2>=3.1.2pyproject.toml
PyPIbackports.strenum>=1.2.4pyproject.toml
PyPIterminaltables—pyproject.toml
PyPIpydantic>=2.0.0pyproject.toml
PyPItyping-extensions>=4.1pyproject.toml
PyPIprompt_toolkit>=3.0pyproject.toml
PyPIaioconsole>=0.7.0pyproject.toml
PyPItelnetlib3>=2.0.4pyproject.toml
All dependencies 92

Full resolved dependency set from the GitHub dependency graph: 12 direct and 80 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaioconsole0.8.2direct
PyPIaiohttp3.10.10direct
PyPIattrs24.2.0direct
PyPIbackports-strenum1.3.1direct
PyPIclick8.3.1direct
PyPIjanus2.0.0direct
PyPIjinja23.1.6direct
PyPIprompt-toolkit3.0.52direct
PyPIpydantic2.12.5direct
PyPItelnetlib32.0.4direct
PyPIterminaltables3.1.10direct
PyPItyping-extensions4.15.0direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiosignal1.4.0indirect
PyPIaiotools1.7.0indirect
PyPIalabaster0.7.16indirect
PyPIannotated-types0.7.0indirect
PyPIasttokens3.0.1indirect
PyPIasync-timeout4.0.3indirect
PyPIbabel2.18.0indirect
PyPIbuild1.3.0indirect
PyPIcertifi2026.1.4indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIdecorator5.2.1indirect
PyPIdistlib0.4.0indirect
PyPIdocutils0.21.2indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfilelock3.21.2indirect
PyPIfrozenlist1.8.0indirect
PyPIidentify2.6.16indirect
PyPIidna3.11indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIipdb0.13.13indirect
PyPIipython8.38.0indirect
PyPIipython9.10.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.19.2indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.1indirect
PyPImultidict6.7.1indirect
PyPImypy1.18.2indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.0indirect
PyPIparso0.8.6indirect
PyPIpathspec1.0.4indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.7.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit3.5.0indirect
PyPIpropcache0.4.1indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest8.3.3indirect
PyPIpytest-asyncio0.24.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-sugar1.1.1indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.32.5indirect
PyPIruff0.14.2indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx7.4.7indirect
PyPIsphinx-autodoc-typehints1.25.3indirect
PyPIsphinx-click5.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPItermcolor3.3.0indirect
PyPItomli2.4.0indirect
PyPItowncrier24.8.0indirect
PyPItraitlets5.14.3indirect
PyPItypes-requests2.32.4.20260107indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.6.3indirect
PyPIuvloop0.21.0indirect
PyPIvirtualenv20.36.1indirect
PyPIwcwidth0.6.0indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:aiomonitor@0.7.1 pulls in 20 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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with aio-libs/aiomonitor. Read them side by side →

99aio-libs/aiobotocoreasyncio support for botocore library using aiohttpExceptional98strawberry-graphql/strawberryA GraphQL library for Python that leverages type annotations 🍓Exceptional97slackapi/python-slack-sdkSlack Developer Kit for PythonExceptional96slackapi/bolt-pythonA framework to build Slack apps using PythonExceptional95agronholm/anyioHigh level asynchronous concurrency and networking framework that works on top of either Trio or asyncioExceptional92dymmond/lilyaYet another ASGI toolkit that deliversExcellent

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 statistics — PyPI.