Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 18:57 UTC

PowerGridModel / power-grid-model-io

Conversion tool for various grid data formats to power-grid-model

PythonMPL-2.0★ 31 stars⑂ 19 forkssince Jul 2022View on GitHub ↗
KindLibraryhow this is determined
#excel#gaia#python#vision

PowerGridModel/power-grid-model-io 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 AI Readiness (62/100). It was last updated today. 3 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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Power Grid ModelOrganization
190 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 publishTags
PyPIpower-grid-model-io2.0.2711,2643560 days agopower-grid-modelinput-outputconversions

Metrics by category

Vitality

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

94Exceptional · 21% of overall

Development activity

97Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.2/36Commit cadence — 48/52 weeks with commits
18/18Commit volume — 576 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_year576
human_commit_share0.87
days_since_last_push0
active_weeks_last_year48

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 ~1.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv2.0.27
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.5

Community & Adoption

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

64Moderate · 17% of overall

Popularity & adoption

36Weak
How it's scored
24/60Stars — 31 stars
10.5/25Forks — 19 forks
1.7/15Watchers — 3 watchers
Inputs used
forks19
stars31
watchers3
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_badges11
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, github.com, readthedocs.org, shields.io, sonarcloud.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

68Good
How it's scored
54/80Monthly downloads — 11,264 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespower-grid-model-io
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,264
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?

81Excellent · 23% of overall

Maintainer resilience (bus factor)

76Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.6/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 17 contributors
10/10OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled17
top_contributor_share0.261

Issue & PR responsiveness

88Excellent
How it's scored
33/42Issue resolution — 78% of issues closed
27/30PR acceptance — 393/437 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs393
open_issues17
closed_issues62
prs_merged_7d4
prs_decided_7d4
prs_merged_30d6
prs_decided_30d6
issue_closed_ratio0.785
closed_unmerged_prs44
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

64Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
16.4/25Owner reach — 190 followers of PowerGridModel
17.1/25Track record — 22 public repos, account ~3 yr old
Inputs used
followers190
owner_typeOrganization
is_verifiedno
owner_loginPowerGridModel
public_repos22
account_age_days1,309

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 — 356 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespower-grid-model-io
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 8 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 — 7 out of 7 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://power-grid-model-io.readthedocs.io/en/stable/
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsexcel, gaia, python, vision
has_wikiyes
homepage—
docs_sitehttps://power-grid-model-io.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?

79Good · 16% of overall

Security posture

74Good
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 — 7 out of 7 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 11 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
5/5Pinned-Dependencies — all dependencies are pinned
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
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_aggregate7.4

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_packages134
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 134 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.

62Moderate · 4% of overall

Agent context & guidance

20At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
20.2/40Legible commit history — 33 of 87 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.379
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_io/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 13 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_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/power_grid_model_io/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.13

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/power_grid_model_io/py.typed)
52.9/55Manageable file sizes — 4/104 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes140,843
source_files_sampled104
oversized_source_files4

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

31GitHub stars
17contributors
576commits, last 12 months
0days since last push
100releases
3bus factor
17open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:power-grid-model-io@2.0.27; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 19 ⇿
0Stars
19Forks
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.

0481216201922022-102024-102026-10
Major 1Minor 0Patch 92

Each point covers 4 days.

OpenSSF Scorecard 7.4 / 10
7.4aggregate

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 · 2026-10-19 18:56 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 11 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
10Pinned-Dependenciesall dependencies are pinned
9SASTSAST tool is not run on all commits -- score normalized to 9
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 8
RegistryPackageVersion constraintManifest
PyPInumpy>=2.0pyproject.toml
PyPIopenpyxl—pyproject.toml
PyPIpackaging>=25.0pyproject.toml
PyPIpandas—pyproject.toml
PyPIpower_grid_model>=1.8pyproject.toml
PyPIpyyaml—pyproject.toml
PyPIstructlog—pyproject.toml
PyPItqdm—pyproject.toml
All dependencies 134

Full resolved dependency set from the GitHub dependency graph: 10 direct and 124 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy2.4.6direct
PyPInumpy2.5.3direct
PyPIopenpyxl3.1.5direct
PyPIpackaging26.3direct
PyPIpandas2.3.3direct
PyPIpandas3.0.6direct
PyPIpower-grid-model1.13.193direct
PyPIpyyaml6.0.3direct
PyPIstructlog26.1.0direct
PyPItqdm4.70.1direct
PyPIalabaster1.0.0indirect
PyPIannotated-types0.8.0indirect
PyPIappnope1.0.0indirect
PyPIast-serialize0.12.1indirect
PyPIasttokens3.0.2indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIboolean-py5.0indirect
PyPIcachebox5.2.3indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIchardet7.6.0indirect
PyPIcharset-normalizer3.5.2indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcoverage7.16.2indirect
PyPIdebugpy1.8.22indirect
PyPIdeepdiff9.1.0indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.22.4indirect
PyPIet-xmlfile2.0.0indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.22.2indirect
PyPIfilelock4.0.12indirect
PyPIgeojson3.3.0indirect
PyPIidentify2.6.20indirect
PyPIidna3.20indirect
PyPIimagesize2.0.1indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.3.1indirect
PyPIipykernel7.4.0indirect
PyPIipython9.17.1indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-cache1.0.1indirect
PyPIjupyter-client8.10.0indirect
PyPIjupyter-core5.9.1indirect
PyPIlibrt0.16.0indirect
PyPIlicense-expression30.4.4indirect
PyPIlxml6.1.3indirect
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PyPInodeenv1.11.0indirect
PyPInumpydoc1.11.0indirect
PyPIorderly-set5.5.0indirect
PyPIpandapower3.5.6indirect
PyPIpandera0.34.1indirect
PyPIparso0.8.7indirect
PyPIpathspec1.1.1indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.12.3indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIprompt-toolkit3.0.53indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.4indirect
PyPIpyarrow25.0.1indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic2.14.0b2indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-core2.49.0indirect
PyPIpygments2.21.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-debian1.1.1indirect
PyPIpython-discovery1.6.1indirect
PyPIpython-magic0.4.27indirect
PyPIpytz2026.5indirect
PyPIpyzmq27.2.0indirect
PyPIreadthedocs-sphinx-search0.3.2indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIreuse6.2.0indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py2026.9.1indirect
PyPIruff0.16.10indirect
PyPIscipy1.18.1indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.1.3indirect
PyPIstack-data0.6.3indirect
PyPItabulate0.10.0indirect
PyPItomlkit0.15.1indirect
PyPItornado6.5.10indirect
PyPItraitlets5.16.1indirect
PyPItypeguard4.6.0indirect
PyPItypes-pyyaml6.0.12.20260906indirect
PyPItypes-requests2.33.0.20261006indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.5indirect
PyPIurllib32.8.0indirect
PyPIvirtualenv21.14.5indirect
PyPIwcwidth0.9.2indirect
PyPIzipp4.1.1indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 134 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

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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.