Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 18:10 UTC

PowerGridModel / power-grid-model

Python/C++ library for distribution power system analysis

C++ · PythonMPL-2.0★ 247 stars⑂ 78 forkssince Jan 2022View on GitHub ↗
KindPluginLibraryhow this is determined
#powersystem#powerflow#stateestimation#python#cpp#numpy#eigen3#shortcircuit

PowerGridModel/power-grid-model holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on AI Readiness (66/100). It was last updated today. 2 contributors account 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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Power Grid ModelOrganization
184 followers22 public repossince Mar 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpower-grid-model1.13.166101,4209660 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 2,370 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,370
human_commit_share0.95
days_since_last_push0
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.13.166
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.9

Community & Adoption

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

76Good · 17% of overall

Popularity & adoption

58Moderate
How it's scored
38.8/60Stars — 247 stars
15.7/25Forks — 78 forks
3.3/15Watchers — 5 watchers
Inputs used
forks78
stars247
watchers5
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 (MPL-2.0)
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_badges12
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, bestpractices.coreinfrastructure.org, github.com, readthedocs.org, shields.io, sonarcloud.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

83Excellent
How it's scored
66.7/80Monthly downloads — 101,420 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespower-grid-model
dependents—
ecosystemspypi
total_downloads—
monthly_downloads101,420
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?

76Good · 23% of overall

Maintainer resilience (bus factor)

64Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.9/22.5Commit distribution — top contributor authored 34% of commits
13.5/13.5Contributor breadth — 34 contributors
10/10OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled34
top_contributor_share0.338

Issue & PR responsiveness

84Excellent
How it's scored
28/42Issue resolution — 67% of issues closed
27.5/30PR acceptance — 1,131/1,233 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs1,131
open_issues111
closed_issues221
prs_merged_7d12
prs_decided_7d13
prs_merged_30d36
prs_decided_30d43
issue_closed_ratio0.666
closed_unmerged_prs102
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

63Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
16.3/25Owner reach — 184 followers of PowerGridModel
16.9/25Track record — 22 public repos, account ~3 yr old
Inputs used
followers184
owner_typeOrganization
is_verifiedno
owner_loginPowerGridModel
public_repos22
account_age_days1,269

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 966 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespower-grid-model
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-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_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://power-grid-model.readthedocs.io/en/stable/
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicspowersystem, powerflow, stateestimation, python, cpp, numpy, eigen3, shortcircuit
has_wikino
homepage—
docs_sitehttps://power-grid-model.readthedocs.io/en/stable/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

81Excellent · 16% of overall

Security posture

76Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
1.8/2.5CII-Best-Practices — badge detected: Silver
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 15 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 23 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.6

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages124
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 124 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

66Good · 4% of overall

Agent context & guidance

25At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
25.3/40Legible commit history — 45 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.474
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

72Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/power_grid_model/py.typed
10/10Reproducible environment — devcontainer, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 5 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/power_grid_model/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.05

Code legibility for models

98Exceptional
How it's scored
45/45Type-checkable code — C++ (statically typed)
53.5/55Manageable file sizes — 8/296 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes131,221
source_files_sampled296
oversized_source_files8

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 — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

247GitHub stars
34contributors
2,370commits, last 12 months
0days since last push
100releases
2bus factor
111open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'power-grid-model' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for power-grid-model carried forward from the previous scan (stats endpoint unavailable this scan)
  • deps.dev does not index pypi:power-grid-model@1.13.166; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 78 ⇿
0Stars
78Forks
93Releases

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.

0204060807822022-012024-052026-09
Major 0Minor 0Patch 93

Each point covers 5 days.

OpenSSF Scorecard 7.6 / 10
7.6aggregate

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 · 2026-09-09 18:09 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
7CII-Best-Practicesbadge detected: Silver
10Code-Reviewall changesets reviewed
10Contributorsproject has 15 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 23 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPInumpy>=2.0.0pyproject.toml
All dependencies 124

Full resolved dependency set from the GitHub dependency graph: 1 direct and 123 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIboolean-py5.0indirect
PyPIbreathe4.36.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIchardet7.5.1indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclang-format23.1.0indirect
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PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
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PyPIexecuting2.2.1indirect
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PyPIgreenlet3.5.4indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
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PyPIimportlib-metadata9.0.0indirect
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PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
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PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
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Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 124 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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 v0.34.0 — full methodology · metrics wiki.

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