Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 04:14 UTC

procrastinate-org / procrastinate

PostgreSQL-based Task Queue for Python

Python · PLpgSQLMIT★ 1,363 stars⑂ 109 forkssince Feb 2019View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#task-queue#postgresql#python#sync#async

procrastinate-org/procrastinate holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (66/100). It was last updated today. A single contributor accounts for most of its recent work.

96
overall / 100
Exceptional

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.

96
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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

ProcrastinateOrganization
10 followers1 public reposince Sep 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIprocrastinate3.9.01,504,99710553 days agopostgrestask-queue

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

89Excellent
How it's scored
36/36Push recency — last push 0 days ago
24.9/36Commit cadence — 36/52 weeks with commits
18/18Commit volume — 301 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year301
human_commit_share0.53
days_since_last_push0
active_weeks_last_year36

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 53 days ago
27/27Release cadence — a release every ~33.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag3.9.0
releases_from_tagsno
days_since_latest_release53
mean_days_between_releases33.5
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?

88Excellent · 17% of overall

Popularity & adoption

77Good
How it's scored
50.8/60Stars — 1,363 stars
16.9/25Forks — 109 forks
8.9/15Watchers — 41 watchers
Inputs used
forks109
stars1,363
watchers41
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 1,504,997 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesprocrastinate
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,504,997
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

40Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.9/22.5Commit distribution — top contributor authored 65% of commits
13.5/13.5Contributor breadth — 57 contributors
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled57
top_contributor_share0.647

Issue & PR responsiveness

74Good
How it's scored
34.3/42Issue resolution — 82% of issues closed
27.1/30PR acceptance — 1,072/1,187 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/12 approved changesets -- score normalized to 0
Inputs used
merged_prs1,072
open_issues66
closed_issues294
prs_merged_7d4
prs_decided_7d4
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio0.817
closed_unmerged_prs115
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

62Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
7.5/25Owner reach — 10 followers of procrastinate-org
11.9/25Track record — 1 public repos, account ~4 yr old
Inputs used
followers10
owner_typeOrganization
is_verified—
owner_loginprocrastinate-org
public_repos1
account_age_days1,780
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 53 days ago
20/20Version history — 105 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesprocrastinate
ecosystemspypi
any_deprecatedno
min_days_since_publish53

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://procrastinate.readthedocs.io/
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicstask-queue, postgresql, python, sync, async
has_wikino
homepagehttps://procrastinate.readthedocs.io/
docs_sitehttps://procrastinate.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

74Good · 16% of overall

Security posture

67Good
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 — 12 out of 12 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 1/12 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 22 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
7.5/7.5Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
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
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.7
Excluded from scoring (no data or not applicable): 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_packages9
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:procrastinate@3.9.0 runtime dependency closure — what installing the published package pulls in — 9 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.

77Good · 4% of overall

Agent context & guidance

36Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
36.2/40Legible commit history — 36 of 53 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.679
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

97Exceptional
How it's scored
18/18One-command bootstrap — docs/Makefile, noxfile.py
22/22Automated tests
11/11Lint / format config
11/11Static type checking — procrastinate/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 24 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 37 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile, noxfile.py
has_devcontaineryes
has_linter_configyes
typecheck_configsprocrastinate/py.typed
agent_commit_share0.24
toolchain_manifests—
dependency_bot_commit_share0.37

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (procrastinate/py.typed)
55/55Manageable file sizes — 0/203 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes34,804
source_files_sampled203
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 — demos
Inputs used
example_dirsdemos
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

1,363GitHub stars
57contributors
301commits, last 12 months
0days since last push
100releases
1bus factor
66open 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 ★ / 109 ⇿
0Stars
109Forks
100Releases

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.

02040608010012010852019-042022-122026-08
Major 3Minor 50Patch 34

Each point covers 7 days.

OpenSSF Scorecard 6.7 / 10
6.7aggregate

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 · 2026-08-13 04:13 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests12 out of 12 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 1/12 approved changesets -- score normalized to 0
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIpsycopg—pyproject.toml
PyPIasgiref—pyproject.toml
PyPIattrs—pyproject.toml
PyPIcroniter—pyproject.toml
PyPIpython-dateutil—pyproject.toml
PyPItyping-extensions—pyproject.toml
PyPIpackaging—pyproject.toml
All dependencies 107

Full resolved dependency set from the GitHub dependency graph: 7 direct and 100 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIasgiref3.12.1direct
PyPIattrs26.1.0direct
PyPIcroniter6.2.4direct
PyPIpackaging26.2direct
PyPIpsycopg3.3.4direct
PyPIpython-dateutil2.9.0.post0direct
PyPItyping-extensions4.16.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIaiopg1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIanyio4.14.2indirect
PyPIargcomplete3.7.0indirect
PyPIasync-timeout4.0.3indirect
PyPIbabel2.18.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbasedpyright1.39.9indirect
PyPIbeautifulsoup44.15.0indirect
PyPIcertifi2026.6.17indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcolorlog6.11.0indirect
PyPIcoverage7.15.2indirect
PyPIdependency-groups1.3.1indirect
PyPIdistlib0.4.3indirect
PyPIdjango5.2.16indirect
PyPIdjango6.0.7indirect
PyPIdjango-stubs6.0.7indirect
PyPIdjango-stubs-ext6.0.7indirect
PyPIdjango-upgrade1.31.1indirect
PyPIdoc82.0.0indirect
PyPIdocutils0.21.2indirect
PyPIdunamai1.26.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.31.1indirect
PyPIfuro2025.12.19indirect
PyPIgreenlet3.5.3indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhumanize4.16.0indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImyst-parser4.0.1indirect
PyPImyst-parser5.1.0indirect
PyPInodejs-wheel-binaries24.16.0indirect
PyPInox2026.7.11indirect
PyPInox-uv0.8.0indirect
PyPIpglast8.2indirect
PyPIplatformdirs4.10.1indirect
PyPIpluggy1.6.0indirect
PyPIprek0.4.12indirect
PyPIpsycopg-binary3.3.4indirect
PyPIpsycopg-pool3.3.1indirect
PyPIpsycopg2-binary2.9.12indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-django4.12.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpython-discovery1.4.4indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIrestructuredtext-lint2.0.2indirect
PyPIresults2.0.1783086339indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.15.22indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.9indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-github-changelog1.7.2indirect
PyPIsphinx-github-changelog2.3.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-mermaid2.1.0indirect
PyPIsphinxcontrib-programoutput0.20indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.0.51indirect
PyPIsqlparse0.5.5indirect
PyPIstevedore5.8.0indirect
PyPIstevedore5.9.0indirect
PyPItenacity9.1.4indirect
PyPItokenize-rt6.2.0indirect
PyPItomli2.4.1indirect
PyPItypes-pyyaml6.0.12.20260518indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.6.1indirect
PyPIzizmor1.29.0indirect
Dependency advisories 0

Installing pypi:procrastinate@3.9.0 pulls in 9 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.

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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 v0.31.0 — full methodology · metrics wiki.

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