Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 08:24 UTC

hgrecco / pint

Operate and manipulate physical quantities in Python

PythonCustom license★ 2,795 stars⑂ 532 forkssince Jul 2012View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

hgrecco/pint holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (99/100) and lowest on Security (59/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Hernan GreccoPersonal account
278 followers77 public repossince May 2010

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
PyPIPint0.26.15,739,741671 day agoconversionphysicalquantitiesscienceunit

Metrics by category

Vitality

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

76Good · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
15.2/36Commit cadence — 22/52 weeks with commits
18/18Commit volume — 103 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year103
human_commit_share1
days_since_last_push1
active_weeks_last_year22
How it's scored
16.2/27Ships releases — 28 version tags (no GitHub releases)
36/36Release recency — latest release 1 days ago
12.6/27Release cadence — a release every ~157.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count28
latest_release_tag0.26.1
releases_from_tagsyes
days_since_latest_release1
mean_days_between_releases157.1
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?

78Good · 17% of overall
How it's scored
55.9/60Stars — 2,795 stars
22.7/25Forks — 532 forks
9/15Watchers — 42 watchers
Inputs used
forks532
stars2,795
watchers42
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescoveralls.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 5,739,741 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesPint
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,739,741
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?

73Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.6/22.5Commit distribution — top contributor authored 49% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 66 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled98
top_contributor_share0.486
How it's scored
34.7/42Issue resolution — 83% of issues closed
23.8/30PR acceptance — 677/854 decided PRs merged
10.1/13Newcomer PR acceptance — 7/9 first-time contributors' PRs merged in 30d
4.5/15OpenSSF Scorecard: Code-Review — Found 11/30 approved changesets -- score normalized to 3
Inputs used
merged_prs677
open_issues249
closed_issues1,179
prs_merged_7d8
prs_decided_7d11
prs_merged_30d9
prs_decided_30d12
issue_closed_ratio0.826
closed_unmerged_prs177
first_time_authors_30d8
first_time_prs_merged_30d7
first_time_prs_decided_30d9
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
17.6/25Owner reach — 278 followers of hgrecco
25/25Track record — 77 public repos, account ~16 yr old
Inputs used
followers278
owner_typeUser
is_verified—
owner_loginhgrecco
public_repos77
account_age_days5,962
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 1 days ago
20/20Version history — 67 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesPint
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

99Exceptional · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 25 out of 26 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://pint.readthedocs.org/
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicspython, science, units
has_wikiyes
homepagehttp://pint.readthedocs.org/
docs_sitehttp://pint.readthedocs.org/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 25 out of 26 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 11/30 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 66 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 9 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
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
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages4
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:Pint@0.26.1 runtime dependency closure — what installing the published package pulls in — 4 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.

72Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 85 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.85
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — pint/py.typed
10/10Reproducible environment — devcontainer
10/10Demonstrated agent practice — 18 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
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configspint/py.typed
agent_commit_share0.18
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (pint/py.typed)
53.5/55Manageable file sizes — 3/110 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes94,525
source_files_sampled110
oversized_source_files3
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 — notebooks
Inputs used
example_dirsnotebooks
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

2,795GitHub stars
98contributors
103commits, last 12 months
1days since last push
28releases
2bus factor
249open 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 ★ / 532 ⇿
0Stars
532Forks
28Releases

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.

010020030040050060052472012-072019-082026-09
Major 0Minor 0Patch 28

Each point covers 13 days.

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 · 2026-09-12 08:23 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
9CI-Tests25 out of 26 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 11/30 approved changesets -- score normalized to 3
10Contributorsproject has 66 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 9 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIplatformdirs>=2.1.0pyproject.toml
PyPItyping_extensions>=4.0.0pyproject.toml
PyPIflexcache>=0.3pyproject.toml
PyPIflexparser>=0.4pyproject.toml
All dependencies 18

Full resolved dependency set from the GitHub dependency graph: 4 direct and 14 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIflexcache—direct
PyPIflexparser—direct
PyPIplatformdirs—direct
PyPItyping-extensions—direct
PyPIbabel—indirect
PyPIcommonmark0.8.1indirect
PyPIdask—indirect
PyPIipython—indirect
PyPIjupyterlite-pyodide-kernel—indirect
PyPIjupyterlite-sphinx—indirect
PyPInumba—indirect
PyPInumpy—indirect
PyPIpint-pandas—indirect
PyPIpygments—indirect
PyPIrecommonmark0.5.0indirect
PyPIsphinx—indirect
PyPIsphinx-book-theme—indirect
PyPIuncertainties—indirect
Dependency advisories 0

Installing pypi:Pint@0.26.1 pulls in 4 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.

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.