Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-16 12:15 UTC

dateutil / dateutil

Useful extensions to the standard Python datetime features

PythonCustom license★ 2,631 stars⑂ 559 forkssince Nov 2014View on GitHub ↗

dateutil/dateutil holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on Vitality (44/100). It was last updated 57 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

dateutilOrganization
22 followers4 public repossince Nov 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpython-dateutil2.9.0.post0-26866 days ago

Metrics by category

Vitality

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

44Weak · 21% of overall
How it's scored
18/36Push recencylast push 57 days ago
2.1/36Commit cadence3/52 weeks with commits
11.5/18Commit volume18 commits in the last year
10/10OpenSSF Scorecard: Maintained12 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year18
human_commit_share
days_since_last_push57
active_weeks_last_year3
How it's scored
27/27Ships releases20 releases published
0/36Release recencylatest release 866 days ago
12.6/27Release cadencea release every ~242.4 days
8/10OpenSSF Scorecard: Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
Inputs used
releases_count20
latest_release_tag2.9.0.post0
releases_from_tagsno
days_since_latest_release866
mean_days_between_releases242.4

Community & Adoption

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

80Excellent · 17% of overall
How it's scored
55.5/60Stars2,631 stars
22.9/25Forks559 forks
8.8/15Watchers40 watchers
Inputs used
forks559
stars2,631
watchers40
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

57Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
7.1/22.5Commit distributiontop contributor authored 69% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 61 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled100
top_contributor_share0.686
How it's scored
23.7/42Issue resolution56% of issues closed
21.8/30PR acceptance455/627 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 3/17 approved changesets -- score normalized to 1
Inputs used
merged_prs455
open_issues336
closed_issues435
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.564
closed_unmerged_prs172
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
9.8/25Owner reach22 followers of dateutil
17.1/25Track record4 public repos, account ~11 yr old
Inputs used
followers22
owner_typeOrganization
is_verified
owner_logindateutil
public_repos4
account_age_days4,256
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
4/35Publish recencylatest publish 866 days ago
20/20Version history26 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespython-dateutil
ecosystemspypi
any_deprecatedno
min_days_since_publish866

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter configtox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests14 out of 17 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics6 topics
10/10Wiki
Inputs used
topicspython, datetime, time, timezones, parsing, library
has_wikiyes
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?

49Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2/2.5CI-Tests14 out of 17 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 3/17 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 61 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
5/5Fuzzingproject is fuzzed
2.2/2.5Licenselicense file detected
7.5/7.5Maintained12 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
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
0/5Security-Policysecurity policy file not detected
6/7.5Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2.2/7.5Vulnerabilities7 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

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.

47Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno 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.
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
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.
How it's scored
0/45Type-checkable codePython without a type-check config
49.2/55Manageable file sizes4/38 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes216,396
source_files_sampled38
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplessamples
Inputs used
example_dirssamples
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

2,631GitHub stars
100contributors
18commits, last 12 months
57days since last push
20releases
1bus factor
336open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-07-16 12:15 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
8CI-Tests14 out of 17 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 3/17 approved changesets -- score normalized to 1
10Contributorsproject has 61 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
10Fuzzingproject is fuzzed
9Licenselicense file detected
10Maintained12 commit(s) and 2 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
3Vulnerabilities7 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIsix>= 1.6setup.cfg
All dependencies 30

Full resolved dependency set from the GitHub dependency graph: 2 direct and 28 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIsixdirect
PyPIsix1.12.0direct
PyPIattrsindirect
PyPIattrs18.2.0indirect
PyPIbuildindirect
PyPIcolorama0.3.9indirect
PyPIcoverageindirect
PyPIcoverage4.5.3indirect
PyPIenum341.1.6indirect
PyPIfreezegunindirect
PyPIfreezegun0.3.10indirect
PyPIhypothesisindirect
PyPIhypothesis3.30.4indirect
PyPImockindirect
PyPIpip10.0.1indirect
PyPIpluggy0.5.2indirect
PyPIpy1.4.34indirect
PyPIpytestindirect
PyPIpytest3.2.5indirect
PyPIpytest-covindirect
PyPIpytest-cov2.5.1indirect
PyPIreadme-rendererindirect
PyPIsetuptoolsindirect
PyPIsetuptools39.2.0indirect
PyPIsphinxindirect
PyPIsphinx-rtd-themeindirect
PyPItoxindirect
PyPItox2.9.1indirect
PyPIvirtualenvindirect
PyPIvirtualenv15.2.0indirect
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 v0.11.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.