Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 14:30 UTC

ariebovenberg / whenever

⏰ Modern datetime library for Python

Python · RustMIT★ 2,368 stars⑂ 35 forkssince Nov 2023View on GitHub ↗

ariebovenberg/whenever holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (94/100) and lowest on Security (60/100). It was last updated today. A single contributor accounts for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

Arie BovenbergPersonal account
184 followers49 public repossince Nov 2013KLM Royal Dutch Airlines

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
PyPIwhenever0.10.3-811 day agodatetimetypesaferustdatetimetimezoneutczoneinfotzdatatzdb

Metrics by category

Vitality

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

94Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
26.3/36Commit cadence38/52 weeks with commits
18/18Commit volume202 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year202
human_commit_share
days_since_last_push0
active_weeks_last_year38

Release discipline

100Exceptional
How it's scored
27/27Ships releases61 releases published
36/36Release recencylatest release 1 days ago
27/27Release cadencea release every ~30.4 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count61
latest_release_tag0.10.3
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases30.4
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?

75Good · 17% of overall
How it's scored
54.7/60Stars2,368 stars
12.8/25Forks35 forks
5.3/15Watchers10 watchers
Inputs used
forks35
stars2,368
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
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?

65Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
5.5/22.5Commit distributiontop contributor authored 75% of commits
13.5/13.5Contributor breadth16 contributors
10/10OpenSSF Scorecard: Contributorsproject has 9 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled16
top_contributor_share0.754
How it's scored
40.1/42Issue resolution95% of issues closed
20.2/30PR acceptance158/235 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 3/12 approved changesets -- score normalized to 2
Inputs used
merged_prs158
open_issues6
closed_issues124
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.954
closed_unmerged_prs77
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
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
16.3/25Owner reach184 followers of ariebovenberg
24.4/25Track record49 public repos, account ~12 yr old
Inputs used
followers184
owner_typeUser
is_verified
owner_loginariebovenberg
public_repos49
account_age_days4,622
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 1 days ago
20/20Version history81 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageswhenever
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://whenever.rtfd.io
10/10Repository description
10/10Topics12 topics
0/10Wiki
Inputs used
topicsdatetime, mypy, python, timezones, type-safe, utc, rfc3339, utc-offsets, rust, cpython, pure-python, pypy
has_wikino
homepagehttps://whenever.rtfd.io
docs_sitehttps://whenever.rtfd.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

60Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 3/12 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 9 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
1/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. 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.

76Good · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes2,858
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checkingpysrc/whenever/py.typed
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
2/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configspysrc/whenever/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (pysrc/whenever/py.typed)
51.4/55Manageable file sizes7/107 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes339,362
source_files_sampled107
oversized_source_files7

Key facts

2,368GitHub stars
16contributors
202commits, last 12 months
0days since last push
61releases
1bus factor
6open issues
crates.io, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch crates package 'whenever' from its registry

More detail

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 · 2026-07-18 14:30 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-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 3/12 approved changesets -- score normalized to 2
10Contributorsproject has 9 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 7 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
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
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
crates.ioahash^0.8.12Cargo.toml
crates.iopyo3-ffi^0.29.0Cargo.toml
PyPItzdata>=2020.1pyproject.toml
PyPItzlocal>=4.0pyproject.toml
All dependencies 191

Full resolved dependency set from the GitHub dependency graph: 6 direct and 185 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
crates.ioahash0.8.12direct
crates.iopyo3-ffi0.29.0direct
PyPItzdata2026.2direct
PyPItzdata2026.3direct
PyPItzlocal5.3.1direct
PyPItzlocal5.4.4direct
crates.ioaho-corasick1.1.4indirect
crates.ioalloca0.4.0indirect
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crates.ioanstyle1.0.14indirect
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crates.iobumpalo3.20.2indirect
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crates.iociborium0.2.2indirect
crates.iociborium-io0.2.2indirect
crates.iociborium-ll0.2.2indirect
crates.ioclap4.6.0indirect
crates.ioclap_builder4.6.0indirect
crates.ioclap_lex1.1.0indirect
crates.iocriterion0.8.2indirect
crates.iocriterion-plot0.8.2indirect
crates.iocrossbeam-deque0.8.6indirect
crates.iocrossbeam-epoch0.9.18indirect
crates.iocrossbeam-utils0.8.21indirect
crates.iocrunchy0.2.4indirect
crates.ioeither1.15.0indirect
crates.iofind-msvc-tools0.1.9indirect
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crates.iohalf2.7.1indirect
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crates.iopyo3-build-config0.29.0indirect
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crates.iorustversion1.0.22indirect
crates.iosame-file1.0.6indirect
crates.ioserde1.0.228indirect
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PyPIid1.6.1indirect
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PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer45.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.15.22indirect
PyPIsecretstorage3.5.0indirect
PyPIsemantic-version2.10.0indirect
PyPIsetuptools83.0.0indirect
PyPIsetuptools-rust1.13.0indirect
PyPIsix1.17.0indirect
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PyPIsnowballstemmer3.1.1indirect
PyPIsortedcontainers2.4.0indirect
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PyPIsphinx9.1.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItime-machine3.2.0indirect
PyPItomli2.4.1indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIwhenever0.10.3indirect
PyPIwhenever0.9.5indirect
PyPIwhenever-benchmarks0.1.0indirect
PyPIzipp4.1.0indirect
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.

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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 v0.12.0 — full methodology · metrics wiki.

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