Public record
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-07-28 14:51 UTC

celery / pytest-celery

Official pytest plugin for Celery.

PythonCustom license★ 82 stars⑂ 18 forkssince Aug 2020View on GitHub ↗
KindLibraryhow this is determined
#celery#docker#pytest#python

celery/pytest-celery holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (54/100). It was last updated today. A single contributor accounts for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

CeleryOrganization
402 followers27 public repossince Jul 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpytest-celery1.3.0-30147 days agopytestcelery

Metrics by category

Vitality

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

74Good · 21% of overall

Development activity

69Good
How it's scored
36/36Push recency — last push 0 days ago
8.3/36Commit cadence — 12/52 weeks with commits
14.3/18Commit volume — 38 commits in the last year
10/10OpenSSF Scorecard: Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year38
human_commit_share0.45
days_since_last_push0
active_weeks_last_year12

Release discipline

82Excellent
How it's scored
27/27Ships releases — 28 releases published
27/36Release recency — latest release 147 days ago
19.8/27Release cadence — a release every ~76.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count28
latest_release_tagv1.3.0
releases_from_tagsno
days_since_latest_release147
mean_days_between_releases76.7
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?

54Moderate · 17% of overall

Popularity & adoption

46Weak
How it's scored
31/60Stars — 82 stars
10.3/25Forks — 18 forks
5/15Watchers — 9 watchers
Inputs used
forks18
stars82
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

64Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.8/22.5Commit distribution — top contributor authored 92% of commits
13.5/13.5Contributor breadth — 13 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled13
top_contributor_share0.92

Issue & PR responsiveness

73Good
How it's scored
30.8/42Issue resolution — 73% of issues closed
26.7/30PR acceptance — 440/494 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-Review — Found 7/16 approved changesets -- score normalized to 4
Inputs used
merged_prs440
open_issues4
closed_issues11
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.733
closed_unmerged_prs54
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

71Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
18.7/25Owner reach — 402 followers of celery
22.5/25Track record — 27 public repos, account ~16 yr old
Inputs used
followers402
owner_typeOrganization
is_verified—
owner_logincelery
public_repos27
account_age_days5,871

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 147 days ago
20/20Version history — 30 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespytest-celery
ecosystemspypi
any_deprecatedno
min_days_since_publish147

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
16/16Linter config — .flake8, tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pytest-celery.readthedocs.io/
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicscelery, docker, pytest, python
has_wikiyes
homepagehttps://pytest-celery.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall

Security posture

62Moderate
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 — 30 out of 30 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
3/7.5Code-Review — Found 7/16 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 7 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.2
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_packages30
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:pytest-celery@1.3.0 runtime dependency closure — what installing the published package pulls in — 30 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

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 42 of 45 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.933
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

69Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, tox.ini
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 48 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
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.48

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/153 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes10,493
source_files_sampled153
oversized_source_files0

Machine-readable interfaces

40Weak
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—

Key facts

82GitHub stars
13contributors
38commits, last 12 months
0days since last push
28releases
1bus factor
4open 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 ★ / 18 ⇿
0Stars
18Forks
27Releases

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.

0481216201812020-122023-052025-09
Major 1Minor 2Patch 5

Each point covers 5 days.

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-07-28 14:50 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 7/16 approved changesets -- score normalized to 4
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIcelery*pyproject.toml
PyPIkombu*pyproject.toml
PyPIredis*pyproject.toml
PyPIpython-memcached*pyproject.toml
PyPIboto3*pyproject.toml
PyPIbotocore*pyproject.toml
PyPIpycurl>=7.43pyproject.toml
PyPIurllib3>=1.26.16pyproject.toml
PyPItenacity>=9.0.0pyproject.toml
PyPIpytest-docker-tools>=3.1.3pyproject.toml
PyPIdocker^7.1.0pyproject.toml
PyPIpsutil>=7.0.0pyproject.toml
PyPIdebugpy^1.8.12pyproject.toml
All dependencies 164

Full resolved dependency set from the GitHub dependency graph: 15 direct and 149 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIboto31.43.51direct
PyPIbotocore1.43.53direct
PyPIcelery—direct
PyPIcelery5.6.3direct
PyPIdebugpy1.8.21direct
PyPIdocker7.2.0direct
PyPIkombu5.6.2direct
PyPIpsutil—direct
PyPIpsutil7.2.2direct
PyPIpycurl7.47.0direct
PyPIpytest-docker-tools3.1.10direct
PyPIpython-memcached1.62direct
PyPIredis8.0.1direct
PyPItenacity9.1.4direct
PyPIurllib32.7.0direct
PyPIalabaster1.0.0indirect
PyPIamqp5.3.1indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIast-serialize0.6.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIautoflake2.3.3indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackports-zstd1.6.0indirect
PyPIbilliard4.2.4indirect
PyPIblack26.5.1indirect
PyPIbuild1.5.1indirect
PyPIcachecontrol0.14.4indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcleanpy0.5.1indirect
PyPIcleo2.1.0indirect
PyPIclick8.4.2indirect
PyPIclick-didyoumean0.3.1indirect
PyPIclick-plugins1.1.1.2indirect
PyPIclick-repl0.3.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.2indirect
PyPIcrashtest0.4.1indirect
PyPIcryptography49.0.0indirect
PyPIdistlib0.4.3indirect
PyPIdjango—indirect
PyPIdocutils0.21.2indirect
PyPIdulwich1.2.10indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.29.7indirect
PyPIfindpython0.8.0indirect
PyPIflake87.3.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimagesize1.5.0indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIinstaller1.0.1indirect
PyPIisort8.0.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.1.0indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.13.0indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImore-itertools11.1.0indirect
PyPImsgpack1.2.1indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIpbs-installer2026.6.10indirect
PyPIpkginfo1.12.1.2indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpoetry2.4.1indirect
PyPIpoetry-bumpversion0.3.3indirect
PyPIpoetry-core2.4.0indirect
PyPIpre-commit4.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpyproject-api1.10.1indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-django—indirect
PyPIpytest-rerunfailures—indirect
PyPIpytest-rerunfailures16.4indirect
PyPIpytest-subtests—indirect
PyPIpytest-subtests0.15.0indirect
PyPIpytest-sugar1.1.1indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpytokens0.4.1indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIrapidfuzz3.14.5indirect
PyPIrequests—indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIs3transfer0.19.1indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-autobuild2024.10.3indirect
PyPIsphinx-celery2.1.3indirect
PyPIsphinx-click6.2.0indirect
PyPIsphinx-testing1.0.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-mermaid2.1.0indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy—indirect
PyPIstarlette1.3.1indirect
PyPItermcolor3.3.0indirect
PyPItoml-sort0.24.4indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.0indirect
PyPItox4.57.2indirect
PyPItox-gh-actions3.5.0indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPItypes-cffi2.0.0.20260518indirect
PyPItypes-pyopenssl24.1.0.20240722indirect
PyPItypes-redis4.6.0.20241004indirect
PyPItypes-setuptools83.0.0.20260706indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPItzlocal5.4.4indirect
PyPIuvicorn0.51.0indirect
PyPIvine5.1.0indirect
PyPIvirtualenv21.6.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebsockets16.1indirect
PyPIxattr1.3.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:pytest-celery@1.3.0 pulls in 30 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

Related records

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

98IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional97flagsmith/flagsmith-apiFlagsmith is an open source feature flagging and remote config service. Self-host or use our hosted version at https://app.flagsmith.com.Exceptional97Flagsmith/flagsmithFlagsmith is an open source feature flagging and remote config service. Self-host or use our hosted version at https://app.flagsmith.com.Exceptional96AstrBotDevs/AstrBotAI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨Exceptional98Dependabot/dependabot-core🤖 Dependabot's core logic for creating update PRs.Exceptional100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional

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 v2.5.0, schema v0.27.0 — full methodology · metrics wiki.

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