Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 21:57 UTC

fastapi / asyncer

Asyncer, async and await, focused on developer experience.

PythonMIT★ 2,490 stars⑂ 89 forkssince Jan 2022View on GitHub ↗

fastapi/asyncer holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (93/100) and lowest on AI Readiness (62/100). It was last updated 8 days ago. A single contributor accounts for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

FastAPIOrganization
3,774 followers10 public repossince Jan 2024

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIasyncer0.0.186,835,8552177 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall
How it's scored
28.8/36Push recency — last push 8 days ago
31.8/36Commit cadence — 46/52 weeks with commits
18/18Commit volume — 507 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year507
human_commit_share0.32
days_since_last_push8
active_weeks_last_year46

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 18 releases published
36/36Release recency — latest release 77 days ago
27/27Release cadence — a release every ~29.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count18
latest_release_tag0.0.18
releases_from_tagsno
days_since_latest_release77
mean_days_between_releases29.7
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?

83Excellent · 17% of overall
How it's scored
55.1/60Stars — 2,490 stars
16.2/25Forks — 89 forks
6/15Watchers — 13 watchers
Inputs used
forks89
stars2,490
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 6,835,855 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesasyncer
dependents—
ecosystemspypi
total_downloads—
monthly_downloads6,835,855
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?

64Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.3/22.5Commit distribution — top contributor authored 76% of commits
13.5/13.5Contributor breadth — 19 contributors
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled19
top_contributor_share0.763
How it's scored
35/42Issue resolution — 83% of issues closed
20.6/30PR acceptance — 441/643 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/26 approved changesets -- score normalized to 0
Inputs used
merged_prs441
open_issues1
closed_issues5
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.833
closed_unmerged_prs202
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.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 3,774 followers of fastapi
12.9/25Track record — 10 public repos, account ~2 yr old
Inputs used
followers3,774
owner_typeOrganization
is_verifiedno
owner_loginfastapi
public_repos10
account_age_days973

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 77 days ago
20/20Version history — 21 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesasyncer
ecosystemspypi
any_deprecatedno
min_days_since_publish77

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 15 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 15 out of 15 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://asyncer.tiangolo.com/
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicspython, async, asyncio, trio, anyio
has_wikino
homepagehttps://asyncer.tiangolo.com/
docs_sitehttps://asyncer.tiangolo.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

75Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 15 out of 15 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
0/7.5Code-Review — Found 0/26 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 13 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 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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
0/7.5Vulnerabilities — 18 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.9
Excluded from scoring (no data or not applicable): Packaging, 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_packages4
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:asyncer@0.0.18 runtime dependency closure — what installing the published package pulls in — 4 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.

62Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 31 of 32 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.969
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — asyncer/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 17 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_files—
has_devcontainerno
has_linter_configyes
typecheck_configsasyncer/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.17
How it's scored
27/45Type-checkable code — Python with type-check config (asyncer/py.typed)
55/55Manageable file sizes — 0/54 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes13,634
source_files_sampled54
oversized_source_files0

Key facts

2,490GitHub stars
19contributors
507commits, last 12 months
8days since last push
18releases
1bus factor
1open 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 ★ / 89 ⇿
0Stars
89Forks
17Releases

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.

0204060801008892022-012024-042026-08
Major 0Minor 0Patch 17

Each point covers 5 days.

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-09-10 21:56 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/26 approved changesets -- score normalized to 0
10Contributorsproject has 13 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 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not 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
0Vulnerabilities18 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIanyio>=3.4.0,<5.0pyproject.toml
PyPIsniffio>=1.1pyproject.toml
PyPItyping_extensions>=4.12.0pyproject.toml
All dependencies 82

Full resolved dependency set from the GitHub dependency graph: 3 direct and 79 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanyio4.14.2direct
PyPIsniffio1.3.1direct
PyPItyping-extensions4.15.0direct
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIast-serialize0.6.0indirect
PyPIcairocffi1.7.1indirect
PyPIcairosvg2.9.0indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIcryptography46.0.5indirect
PyPIcssselect20.9.0indirect
PyPIcyclic1.0.0indirect
PyPIdeepmerge2.0indirect
PyPIdefusedxml0.7.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIghp-import2.1.0indirect
PyPIgriffe-typingdoc0.3.1indirect
PyPIgriffe-warnings-deprecated1.1.1indirect
PyPIgriffelib2.0.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.11indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.13.0indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-include-variants0.0.8indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImdx-include1.4.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.0indirect
PyPImkdocstrings1.0.3indirect
PyPImkdocstrings-python2.0.3indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.0indirect
PyPIpathspec1.0.4indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.9.2indirect
PyPIpluggy1.6.0indirect
PyPIprek0.4.14indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.15.0indirect
PyPIpygithub2.10.0indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.11.0indirect
PyPIpymdown-extensions11.0.2indirect
PyPIpynacl1.6.2indirect
PyPIpytest9.1.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.1indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrcslice1.1.0indirect
PyPIrequests2.32.5indirect
PyPIrich14.3.3indirect
PyPIruff0.16.4indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmokeshow0.5.0indirect
PyPItinycss21.5.1indirect
PyPItomli2.4.0indirect
PyPIty0.0.74indirect
PyPItyper0.27.1indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.6.3indirect
PyPIwatchdog6.0.0indirect
PyPIwebencodings0.5.1indirect
PyPIzensical0.0.57indirect
PyPIzizmor1.29.0indirect
Dependency advisories 0

Installing pypi:asyncer@0.0.18 pulls in 4 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 statistics — PyPI.