Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 07:15 UTC

sibson / redbeat

RedBeat is a Celery Beat Scheduler that stores the scheduled tasks and runtime metadata in Redis.

PythonApache-2.0★ 1,051 stars⑂ 145 forkssince Aug 2015View on GitHub ↗
KindLibraryhow this is determined
#redis#celery

sibson/redbeat holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (80/100) and lowest on Sustainability & Governance (64/100). It was last updated 1 day ago. 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

Marc SibsonPersonal account
54 followers30 public repossince Sep 2009Salesforce

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
PyPIcelery-redbeat2.4.25,321,0142447 days agopythoncelerybeatredisscheduler

Metrics by category

Vitality

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

74Good · 21% of overall

Development activity

73Good
How it's scored
36/36Push recency — last push 1 days ago
9/36Commit cadence — 13/52 weeks with commits
17.9/18Commit volume — 97 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year97
human_commit_share1
days_since_last_push1
active_weeks_last_year13

Release discipline

76Good
How it's scored
27/27Ships releases — 16 releases published
36/36Release recency — latest release 47 days ago
5.4/27Release cadence — a release every ~373.8 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count16
latest_release_tagv2.4.2
releases_from_tagsno
days_since_latest_release47
mean_days_between_releases373.8

Community & Adoption

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

72Good · 17% of overall

Popularity & adoption

74Good
How it's scored
49/60Stars — 1,051 stars
18/25Forks — 145 forks
7/15Watchers — 19 watchers
Inputs used
forks145
stars1,051
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, readthedocs.org, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 5,321,014 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagescelery-redbeat
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,321,014
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

Maintainer resilience (bus factor)

40Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.6/22.5Commit distribution — top contributor authored 66% of commits
13.5/13.5Contributor breadth — 36 contributors
10/10OpenSSF Scorecard: Contributors — project has 29 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled36
top_contributor_share0.662

Issue & PR responsiveness

72Good
How it's scored
35.5/42Issue resolution — 84% of issues closed
23.4/30PR acceptance — 137/176 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/14 approved changesets -- score normalized to 0
Inputs used
merged_prs137
open_issues23
closed_issues125
prs_merged_7d3
prs_decided_7d3
prs_merged_30d6
prs_decided_30d7
issue_closed_ratio0.845
closed_unmerged_prs39
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

57Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
12.5/25Owner reach — 54 followers of sibson
22.9/25Track record — 30 public repos, account ~17 yr old
Inputs used
followers54
owner_typeUser
is_verified—
owner_loginsibson
public_repos30
account_age_days6,211
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 47 days ago
20/20Version history — 24 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescelery-redbeat
ecosystemspypi
any_deprecatedno
min_days_since_publish47

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.black], [tool.isort])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 2 topics
0/10Wiki
Inputs used
topicsredis, celery
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall

Security posture

60Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 8 out of 8 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 1/14 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 29 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
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 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_packages18
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:celery-redbeat@2.4.2 runtime dependency closure — what installing the published package pulls in — 18 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.

73Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 77 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.77
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes2,447

Verify loop (build / test / typecheck)

71Good
How it's scored
18/18One-command bootstrap — .mise.toml, docs/Makefile, makefile
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.black], [tool.isort])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 51 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
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_files.mise.toml, docs/Makefile, makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.51
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/19 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes26,914
source_files_sampled19
oversized_source_files0

Key facts

1,051GitHub stars
36contributors
97commits, last 12 months
1days since last push
16releases
1bus factor
23open 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 ★ / 145 ⇿
0Stars
145Forks
13Releases

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.

025507510012515014032016-052021-072026-09
Major 0Minor 5Patch 5

Each point covers 10 days.

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-09-12 07:14 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
10CI-Tests8 out of 8 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 1/14 approved changesets -- score normalized to 0
10Contributorsproject has 29 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 27 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
9SASTSAST tool is not run on all commits -- score normalized to 9
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
4Vulnerabilities6 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIredis>=3.2pyproject.toml
PyPIcelery>=5.0pyproject.toml
PyPIpython-dateutil—pyproject.toml
PyPItenacity—pyproject.toml
All dependencies 91

Full resolved dependency set from the GitHub dependency graph: 10 direct and 81 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcelery—direct
PyPIcelery5.6.3direct
PyPIpython-dateutil—direct
PyPIpython-dateutil2.9.0.post0direct
PyPIredis—direct
PyPIredis7.0.1direct
PyPIredis8.1.0direct
PyPItenacity—direct
PyPItenacity9.1.2direct
PyPItenacity9.1.4direct
PyPIalabaster0.7.16indirect
PyPIalabaster1.0.0indirect
PyPIamqp5.3.1indirect
PyPIasync-timeout5.0.1indirect
PyPIbabel2.18.0indirect
PyPIbilliard4.2.4indirect
PyPIblack—indirect
PyPIblack25.11.0indirect
PyPIblack26.5.1indirect
PyPIcelery-redbeat2.4.3.dev0indirect
PyPIcertifi2026.7.22indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.1.8indirect
PyPIclick8.5.0indirect
PyPIclick-didyoumean0.3.1indirect
PyPIclick-plugins1.1.1.2indirect
PyPIclick-repl0.3.0indirect
PyPIcolorama0.4.6indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIfakeredis—indirect
PyPIfakeredis2.37.1indirect
PyPIflake8—indirect
PyPIflake87.3.0indirect
PyPIflake8-black—indirect
PyPIflake8-black0.4.0indirect
PyPIflake8-isort—indirect
PyPIflake8-isort6.1.2indirect
PyPIflake8-isort7.0.0indirect
PyPIidna3.19indirect
PyPIimagesize1.5.0indirect
PyPIimagesize2.0.1indirect
PyPIimportlib-metadata8.7.1indirect
PyPIisort6.1.0indirect
PyPIisort9.0.1indirect
PyPIjinja23.1.6indirect
PyPIkombu5.6.2indirect
PyPIlupa2.8indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpbr—indirect
PyPIplatformdirs4.11.7indirect
PyPIplatformdirs4.4.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIprompt-toolkit3.0.53indirect
PyPIpycodestyle2.14.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.21.0indirect
PyPIpytokens0.4.1indirect
PyPIpytz—indirect
PyPIpytz2026.3.post1indirect
PyPIrequests2.32.5indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx7.4.7indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.4.1indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPItzlocal5.3.1indirect
PyPItzlocal5.4.4indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIvine5.1.0indirect
PyPIwcwidth0.8.3indirect
PyPIzipp3.23.1indirect
Dependency advisories 0

Installing pypi:celery-redbeat@2.4.2 pulls in 18 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.

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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.