Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 12:32 UTC

alisaifee / limits

Rate limiting using various strategies and storage backends such as redis, memcached & mongodb

PythonMIT★ 642 stars⑂ 78 forkssince Jan 2015View on GitHub ↗

alisaifee/limits holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (89/100) and lowest on AI Readiness (54/100). It was last updated 22 days ago. 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

Ali-Akber SaifeePersonal account
98 followers68 public repossince May 2009@indydevs

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 publish
PyPIlimits5.8.045,252,48098203 days ago

Metrics by category

Vitality

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

64Moderate · 21% of overall
How it's scored
28.8/36Push recencylast push 22 days ago
10.4/36Commit cadence15/52 weeks with commits
16.3/18Commit volume65 commits in the last year
4/10OpenSSF Scorecard: Maintained4 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year65
human_commit_share0.74
days_since_last_push22
active_weeks_last_year15
How it's scored
27/27Ships releases74 releases published
16.2/36Release recencylatest release 203 days ago
27/27Release cadencea release every ~32.8 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count74
latest_release_tag5.8.0
releases_from_tagsno
days_since_latest_release203
mean_days_between_releases32.8

Community & Adoption

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

74Good · 17% of overall
How it's scored
45.5/60Stars642 stars
15.7/25Forks78 forks
3.9/15Watchers6 watchers
Inputs used
forks78
stars642
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateno
How it's scored
80/80Monthly downloads45,252,480 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packageslimits
dependents
ecosystemspypi
total_downloads
monthly_downloads45,252,480
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.4/22.5Commit distributiontop contributor authored 94% of commits
13.5/13.5Contributor breadth36 contributors
10/10OpenSSF Scorecard: Contributorsproject has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled36
top_contributor_share0.937
How it's scored
40.6/42Issue resolution97% of issues closed
16.3/30PR acceptance142/261 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 2/10 approved changesets -- score normalized to 2
Inputs used
merged_prs142
open_issues3
closed_issues86
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.966
closed_unmerged_prs119
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
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
14.3/25Owner reach98 followers of alisaifee
25/25Track record68 public repos, account ~17 yr old
Inputs used
followers98
owner_typeUser
is_verified
owner_loginalisaifee
public_repos68
account_age_days6,327
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 203 days ago
20/20Version history98 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageslimits
ecosystemspypi
any_deprecatedno
min_days_since_publish203

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests21 out of 22 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://limits.readthedocs.org
10/10Repository description
10/10Topics7 topics
10/10Wiki
Inputs used
topicspython, rate-limiting, memcached, redis, mongodb, async, valkey
has_wikiyes
homepagehttps://limits.readthedocs.org
docs_sitehttps://limits.readthedocs.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 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
2.2/2.5CI-Tests21 out of 22 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 2/10 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 5 contributing companies or organizations
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
3/7.5Maintained4 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 4
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
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2.2/7.5Vulnerabilities7 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.7

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_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:limits@5.8.0 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.

54Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
5.8/40Legible commit history8 of 74 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.108
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, doc/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkinglimits/py.typed
10/10Reproducible environmentdevcontainer, Dockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance26 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, doc/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configslimits/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.26
How it's scored
27/45Type-checkable codePython with type-check config (limits/py.typed)
55/55Manageable file sizes0/60 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes19,252
source_files_sampled60
oversized_source_files0

Key facts

642GitHub stars
36contributors
65commits, last 12 months
22days since last push
74releases
1bus factor
3open 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 ★ / 78 ⇿
0Stars
78Forks
74Releases

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.

01325385063757332015-022020-102026-06
Major 4Minor 30Patch 28

Each point covers 11 days.

OpenSSF Scorecard 4.7 / 10
4.7aggregate

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 12:31 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests21 out of 22 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 2/10 approved changesets -- score normalized to 2
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
4Maintained4 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 4
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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
3Vulnerabilities7 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIdeprecated>=1.2pyproject.toml
PyPIpackaging>=21pyproject.toml
PyPItyping_extensionspyproject.toml
All dependencies 129

Full resolved dependency set from the GitHub dependency graph: 3 direct and 126 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdeprecated1.3.1direct
PyPIpackaging25.0direct
PyPItyping-extensions4.15.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIanyio4.13.0indirect
PyPIast-serialize0.5.0indirect
PyPIasync-timeout5.0.1indirect
PyPIbabel2.18.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackports-zstd1.5.0indirect
PyPIbeartype0.22.9indirect
PyPIbeautifulsoup44.14.3indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcoredis5.7.0indirect
PyPIcoverage7.14.1indirect
PyPIcryptography48.0.0indirect
PyPIdistlib0.4.1indirect
PyPIdistro1.9.0indirect
PyPIdnspython2.8.0indirect
PyPIdocutils0.21.2indirect
PyPIemcache1.3.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.29.0indirect
PyPIflaky3.8.1indirect
PyPIfuro2025.12.19indirect
PyPIh110.16.0indirect
PyPIhatch1.17.0indirect
PyPIhatch-vcsindirect
PyPIhatchling1.30.1indirect
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PyPIhttpx22.3.0indirect
PyPIhyperlink21.0.0indirect
PyPIidna3.17indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata9.0.0indirect
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PyPIjaraco-classes3.4.0indirect
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PyPImypy2.1.0indirect
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PyPIpexpect4.9.0indirect
PyPIplatformdirs4.10.0indirect
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PyPIpygal3.1.0indirect
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PyPIpympler1.1indirect
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PyPIpywin32-ctypes0.2.3indirect
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PyPIrich15.0.0indirect
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PyPIsnowballstemmer3.1.0indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-autobuild2024.10.3indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design0.6.1indirect
PyPIsphinx-inline-tabs2025.12.21.14indirect
PyPIsphinx-paramlinks0.6.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-programoutput0.19indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsphinxext-opengraph0.13.0indirect
PyPIstarlette1.2.1indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.0indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPItruststore0.10.4indirect
PyPItypes-deprecated1.3.1.20260520indirect
PyPIurllib32.7.0indirect
PyPIuserpath1.9.2indirect
PyPIuv0.11.18indirect
PyPIuvicorn0.48.0indirect
PyPIvalkey6.1.1indirect
PyPIvirtualenv21.4.2indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.0indirect
PyPIwheel0.47.0indirect
PyPIwrapt2.2.1indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:limits@5.8.0 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 statisticsPyPI.