Public record
Software health reportschema 0.17.0 · metrics 2.10.0 · 2026-07-21 04:06 UTC

python-arq / arq

Fast job queuing and RPC in python with asyncio and redis.

PythonMIT★ 2,989 stars⑂ 222 forkssince Jul 2016View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#redis#concurrent#worker#distributed#tasks#queue#async#asyncio#msgpack#concurrency

python-arq/arq holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Engineering Quality (84/100) and lowest on Vitality (42/100). It was last updated 95 days ago. A single contributor accounts for most of its recent work.

69
overall / 100
Good

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.

69
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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

python-arqOrganization
7 followers1 public reposince Jun 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIarq0.28.0-6595 days ago

Metrics by category

Vitality

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

42Weak · 21% of overall

Development activity

21At Risk
How it's scored
9.9/36Push recency — last push 95 days ago
2.1/36Commit cadence — 3/52 weeks with commits
9.4/18Commit volume — 10 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_year10
human_commit_share—
days_since_last_push95
active_weeks_last_year3

Release discipline

74Good
How it's scored
27/27Ships releases — 62 releases published
27/36Release recency — latest release 95 days ago
12.6/27Release cadence — a release every ~148 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count62
latest_release_tagv0.28.0
releases_from_tagsno
days_since_latest_release95
mean_days_between_releases148
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?

68Good · 17% of overall

Popularity & adoption

84Excellent
How it's scored
56.4/60Stars — 2,989 stars
19.5/25Forks — 222 forks
8.2/15Watchers — 31 watchers
Inputs used
forks222
stars2,989
watchers31
growth_stateorganic
growth_factor_pct100

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
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?

62Moderate · 23% of overall

Maintainer resilience (bus factor)

40Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.5/22.5Commit distribution — top contributor authored 67% of commits
13.5/13.5Contributor breadth — 64 contributors
10/10OpenSSF Scorecard: Contributors — project has 18 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled64
top_contributor_share0.666

Issue & PR responsiveness

64Moderate
How it's scored
27.6/42Issue resolution — 66% of issues closed
22/30PR acceptance — 189/258 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-Review — Found 12/25 approved changesets -- score normalized to 4
Inputs used
merged_prs189
open_issues85
closed_issues162
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.656
closed_unmerged_prs69
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.

Ownership & stewardship

54Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
6.5/25Owner reach — 7 followers of python-arq
6.3/25Track record — 1 public repos, account ~2 yr old
Inputs used
followers7
owner_typeOrganization
is_verified—
owner_loginpython-arq
public_repos1
account_age_days752
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 95 days ago
20/20Version history — 65 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesarq
ecosystemspypi
any_deprecatedno
min_days_since_publish95

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests — 9 out of 25 merged PRs checked by a CI test -- score normalized to 3
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://arq-docs.helpmanual.io/
10/10Repository description
10/10Topics — 10 topics
0/10Wiki
Inputs used
topicsredis, concurrent, worker, distributed, tasks, queue, async, asyncio, msgpack, concurrency
has_wikino
homepagehttps://arq-docs.helpmanual.io/
docs_sitehttps://arq-docs.helpmanual.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall

Security posture

43Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0.8/2.5CI-Tests — 9 out of 25 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 12/25 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 18 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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 13 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.3
Excluded from scoring (no data or not applicable): Branch-Protection, 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:arq@0.28.0 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.

63Moderate · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no 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.

Verify loop (build / test / typecheck)

88Excellent
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — arq/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
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_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsarq/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.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (arq/py.typed)
55/55Manageable file sizes — 0/31 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes41,448
source_files_sampled31
oversized_source_files0

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

2,989GitHub stars
64contributors
10commits, last 12 months
95days since last push
62releases
1bus factor
85open issues
PyPIpackage ecosystems

More detail

Star and fork history 2,989 ★ / 0 ⇿
2,989Stars

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

1,5002,0002,5003,0002,989112024-072025-072026-07

Each point covers 2 days.

OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-07-21 04:06 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
3CI-Tests9 out of 25 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 12/25 approved changesets -- score normalized to 4
10Contributorsproject has 18 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities13 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIredis>=4.2.0,<6pyproject.toml
PyPIclick>=8.0pyproject.toml
All dependencies 77

Full resolved dependency set from the GitHub dependency graph: 3 direct and 74 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick8.1.8direct
PyPIclick8.3.1direct
PyPIredis4.6.0direct
PyPIaiohttp3.4.4indirect
PyPIaiohttp-session2.7.0indirect
PyPIalabaster0.7.16indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIasync-timeout5.0.1indirect
PyPIbabel2.17.0indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIchevron0.13.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.7indirect
PyPIcoverage7.13.2indirect
PyPIcryptography46.0.4indirect
PyPIdirty-equals0.11indirect
PyPIdocker7.1.0indirect
PyPIdocutils0.19indirect
PyPIexceptiongroup1.3.1indirect
PyPIhiredis3.3.0indirect
PyPIidna3.11indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImsgpack1.1.2indirect
PyPImypy1.9.0indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.0indirect
PyPIpluggy1.6.0indirect
PyPIpycparser2.23indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpytest8.4.2indirect
PyPIpytest-asyncio0.23.6indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-pretty1.3.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-dotenv1.2.1indirect
PyPIpytz2025.2indirect
PyPIpywin32311indirect
PyPIrequests2.32.5indirect
PyPIrich14.3.1indirect
PyPIruff0.14.14indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx6.2.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItestcontainers4.12.0indirect
PyPItomli2.4.0indirect
PyPItypes-cffi1.17.0.20250915indirect
PyPItypes-pyopenssl24.1.0.20240722indirect
PyPItypes-pytz2025.2.0.20251108indirect
PyPItypes-redis4.6.0.20240311indirect
PyPItypes-setuptools80.10.0.20260124indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIurllib32.6.3indirect
PyPIuvloop0.11.3indirect
PyPIwatchfiles1.1.1indirect
PyPIwrapt2.0.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:arq@0.28.0 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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with python-arq/arq. Read them side by side →

91faust-streaming/faustPython Stream Processing. A Faust forkExcellent99taskforcesh/bullmqBullMQ - Message Queue and Batch processing for NodeJS, Python, .NET, Elixir, Rust and PHP based on Redis or PostgreSQLExceptional90jawah/urllib3.futureInplace replacement for urllib3 capable of async with automatic HTTP/1, HTTP/2 and HTTP/3 transport.Excellent96hatchet-dev/hatchet🪓 An orchestration engine for background tasks, AI agents, and durable workflowsExceptional93redisson/redissonRedisson: Valkey & Redis Java Client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Valkey and Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache..Exceptional92FoundatioFx/FoundatioPluggable foundation blocks for building distributed apps.Excellent

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 v0.17.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.