Public record
Software health reportschema 0.16.0 · metrics 2.10.0 · 2026-07-21 02:59 UTC

vutran1710 / PyrateLimiter

⚔️Python Rate-Limiter using Leaky-Bucket Algorithm Family

PythonMIT★ 513 stars⑂ 50 forkssince Nov 2019View on GitHub ↗

vutran1710/PyrateLimiter holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (94/100) and lowest on Security (51/100). It was last updated 36 days ago. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

Vu TranPersonal account
66 followers57 public repossince Apr 2017Ahoy!

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
PyPIpyrate-limiter4.4.0-6336 days agoaiohttphttpxleaky-bucketlimiterraterate-limiterratelimitratelimiterratelimitingrequeststhrottle

Metrics by category

Vitality

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

73Good · 21% of overall
How it's scored
18/36Push recencylast push 36 days ago
16.6/36Commit cadence24/52 weeks with commits
17.6/18Commit volume90 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year90
human_commit_share
days_since_last_push36
active_weeks_last_year24
How it's scored
27/27Ships releases36 releases published
36/36Release recencylatest release 36 days ago
27/27Release cadencea release every ~36.2 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count36
latest_release_tagv4.4.0
releases_from_tagsno
days_since_latest_release36
mean_days_between_releases36.2

Community & Adoption

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

66Good · 17% of overall
How it's scored
43.9/60Stars513 stars
14.1/25Forks50 forks
3.9/15Watchers6 watchers
Inputs used
forks50
stars513
watchers6
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_badges
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

67Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8.6/22.5Commit distributiontop contributor authored 62% of commits
13.5/13.5Contributor breadth26 contributors
10/10OpenSSF Scorecard: Contributorsproject has 11 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled26
top_contributor_share0.616
How it's scored
41.7/42Issue resolution99% of issues closed
25.7/30PR acceptance145/169 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 5/26 approved changesets -- score normalized to 1
Inputs used
merged_prs145
open_issues1
closed_issues127
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.992
closed_unmerged_prs24
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
13.1/25Owner reach66 followers of vutran1710
24.8/25Track record57 public repos, account ~9 yr old
Inputs used
followers66
owner_typeUser
is_verified
owner_loginvutran1710
public_repos57
account_age_days3,390
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 36 days ago
20/20Version history63 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespyrate-limiter
ecosystemspypi
any_deprecatedno
min_days_since_publish36

Engineering Quality

Are baseline engineering and documentation practices in place?

94Exceptional · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests22 out of 26 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://pyratelimiter.readthedocs.io
10/10Repository description
10/10Topics6 topics
10/10Wiki
Inputs used
topicspython, rate-limiter, rate-limiting, leaky-bucket, request-rate-limit, rate-limit
has_wikiyes
homepagehttps://pyratelimiter.readthedocs.io
docs_sitehttps://pyratelimiter.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

51Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2/2.5CI-Tests22 out of 26 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 5/26 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 11 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 4 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
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities47 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.9
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 advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories90
affected_packages11
assessed_packages98
unassessed_packages3
affected_by_severitycritical 1, high 2, moderate 7, low 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 98 resolved dependencies against OSV. 3 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapnoxfile.py
22/22Automated tests
11/11Lint / format config
11/11Static type checkingpyrate_limiter/py.typed
10/10Reproducible environmentDockerfile, lockfile
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configspyrate_limiter/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (pyrate_limiter/py.typed)
55/55Manageable file sizes0/56 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes26,569
source_files_sampled56
oversized_source_files0
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

513GitHub stars
26contributors
90commits, last 12 months
36days since last push
36releases
1bus factor
1open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 3.9 / 10
3.9aggregate

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 · 2026-07-21 02:59 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
8CI-Tests22 out of 26 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 5/26 approved changesets -- score normalized to 1
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 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
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.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities47 existing vulnerabilities detected
All dependencies 101

Full resolved dependency set from the GitHub dependency graph: 0 direct and 101 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaccessible-pygments0.0.5indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.12.15indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIanyio4.10.0indirect
PyPIargcomplete3.6.2indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.3.0indirect
PyPIbabel2.17.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbeautifulsoup44.13.4indirect
PyPIbuild1.3.0indirect
PyPIcertifi2025.8.3indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.4.3indirect
PyPIcolorama0.4.6indirect
PyPIcolorlog6.9.0indirect
PyPIcoverage7.10.3indirect
PyPIdependency-groups1.3.1indirect
PyPIdistlib0.4.0indirect
PyPIdocutils0.21.2indirect
PyPIexceptiongroup1.3.0indirect
PyPIexecnet2.1.1indirect
PyPIfilelock3.18.0indirect
PyPIflake87.3.0indirect
PyPIflake8-polyfill1.0.2indirect
PyPIfrozenlist1.7.0indirect
PyPIfuro2025.7.19indirect
PyPIh110.16.0indirect
PyPIhatchlingindirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.13indirect
PyPIidna3.10indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata8.7.0indirect
PyPIiniconfig2.1.0indirect
PyPIjinja23.1.6indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe3.0.2indirect
PyPImccabe0.7.0indirect
PyPImdit-py-plugins0.5.0indirect
PyPImdurl0.1.2indirect
PyPImultidict6.6.4indirect
PyPImyst-parser4.0.1indirect
PyPInodeenv1.9.1indirect
PyPInox2025.5.1indirect
PyPInox-poetry1.2.0indirect
PyPIpackaging25.0indirect
PyPIpbr6.1.1indirect
PyPIplatformdirs4.3.8indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.3.0indirect
PyPIpre-commit-uv4.1.4indirect
PyPIpropcache0.3.2indirect
PyPIpsycopgindirect
PyPIpsycopg3.2.9indirect
PyPIpsycopg-binary3.3.2indirect
PyPIpsycopg-pool3.2.6indirect
PyPIpycodestyle2.14.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.19.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest8.4.1indirect
PyPIpytest-asyncio1.1.0indirect
PyPIpytest-cov6.2.1indirect
PyPIpytest-randomly4.0.1indirect
PyPIpytest-retry1.7.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpyyaml6.0.2indirect
PyPIredis6.4.0indirect
PyPIrequests2.32.4indirect
PyPIroman-numerals-py3.1.0indirect
PyPIschedule1.2.2indirect
PyPIsetuptools80.9.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.7indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-autodoc-typehints3.0.1indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinxcontrib-apidoc0.6.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-mermaid2.0.2indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.2.1indirect
PyPItomlkit0.13.3indirect
PyPItyping-extensions4.14.1indirect
PyPItzdata2025.2indirect
PyPIurllib32.5.0indirect
PyPIuv0.8.11indirect
PyPIuv-dynamic-versioningindirect
PyPIvirtualenv20.33.1indirect
PyPIyarl1.20.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 11

This repository publishes no package the index resolves, so its own dependency graph was assessed — 98 packages, which also include development and test pins that never ship: 11 carry known advisories, of which 0 are direct. 3 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.12.15indirectcritical583.14.1
soupsieve2.7indirecthigh42.8.4
urllib32.5.0indirecthigh82.7.0
filelock3.18.0indirectmoderate43.20.3
idna3.10indirectmoderate23.15
pytest8.4.1indirectmoderate29.0.3
requests2.32.4indirectmoderate22.33.0
setuptools80.9.0indirectmoderate183.0.0
uv0.8.11indirectmoderate50.11.15
virtualenv20.33.1indirectmoderate220.36.1
pygments2.19.2indirectlow22.20.0

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 v0.16.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.