Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 04:38 UTC

e2nIEE / pandapower

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

PythonCustom license★ 1,233 stars⑂ 596 forkssince Jan 2017View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

e2nIEE/pandapower holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (98/100) and lowest on AI Readiness (63/100). It was last updated 1 day ago. 3 contributors account for most of its recent work.

94
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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

e2nIEEOrganization
132 followers14 public repossince Jul 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpandapower3.5.4-6035 days agopower-systemnetworkanalysisoptimizationautomationgridelectricityenergyengineeringsimulationpandapower

Metrics by category

Vitality

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

98Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
33.2/36Commit cadence48/52 weeks with commits
18/18Commit volume448 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_year448
human_commit_share1
days_since_last_push1
active_weeks_last_year48

Release discipline

100Exceptional
How it's scored
27/27Ships releases56 releases published
36/36Release recencylatest release 35 days ago
27/27Release cadencea release every ~28.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count56
latest_release_tagv3.5.4
releases_from_tagsno
days_since_latest_release35
mean_days_between_releases28.3
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?

74Good · 17% of overall
How it's scored
50.1/60Stars1,233 stars
23.1/25Forks596 forks
9.3/15Watchers49 watchers
Inputs used
forks596
stars1,233
watchers49
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, codecov.io, readthedocs.org, shields.io
has_pull_request_templateno

Sustainability & Governance

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

85Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
17.3/22.5Commit distributiontop contributor authored 23% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 10 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.233
How it's scored
37/42Issue resolution88% of issues closed
26.3/30PR acceptance1,532/1,749 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 13/15 approved changesets -- score normalized to 8
Inputs used
merged_prs1,532
open_issues134
closed_issues995
prs_merged_7d5
prs_decided_7d5
prs_merged_30d7
prs_decided_30d7
issue_closed_ratio0.881
closed_unmerged_prs217
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
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
15.3/25Owner reach132 followers of e2nIEE
20.6/25Track record14 public repos, account ~8 yr old
Inputs used
followers132
owner_typeOrganization
is_verified
owner_logine2nIEE
public_repos14
account_age_days2,960
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 35 days ago
20/20Version history60 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespandapower
ecosystemspypi
any_deprecatedno
min_days_since_publish35

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests3 out of 15 merged PRs checked by a CI test -- score normalized to 2
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://www.pandapower.org
10/10Repository description
10/10Topics9 topics
10/10Wiki
Inputs used
topicspowerflow, python, power, system, analysis, optimization, short-circuit, state-estimation, loadflow
has_wikiyes
homepagehttps://www.pandapower.org
docs_sitehttps://www.pandapower.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

74Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
0.5/2.5CI-Tests3 out of 15 merged PRs checked by a CI test -- score normalized to 2
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6/7.5Code-ReviewFound 13/15 approved changesets -- score normalized to 8
2.5/2.5Contributorsproject has 10 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense 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
2.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
2/5SASTSAST tool is not run on all commits -- score normalized to 4
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages24
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:pandapower@3.5.4 runtime dependency closure — what installing the published package pulls in — 24 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.

63Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history79 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.79
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdoc/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checkingmypy.ini
0/10Reproducible environment
4/10Demonstrated agent practice2 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
5/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configno
typecheck_configsmypy.ini
agent_commit_share0.02
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini)
53.7/55Manageable file sizes12/516 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes219,323
source_files_sampled516
oversized_source_files12
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 examplesnotebooks
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

1,233GitHub stars
100contributors
448commits, last 12 months
1days since last push
56releases
3bus factor
134open 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 ★ / 596 ⇿
0Stars
596Forks
55Releases

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.

0100200300400500600577102017-022021-112026-08
Major 2Minor 22Patch 31

Each point covers 9 days.

OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 · 2026-08-13 04:37 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
2CI-Tests3 out of 15 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 13/15 approved changesets -- score normalized to 8
10Contributorsproject has 10 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 7 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
4SASTSAST tool is not run on all commits -- score normalized to 4
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIpandas~=2.3pyproject.toml
PyPInetworkx~=3.6pyproject.toml
PyPInetworkx~=3.4pyproject.toml
PyPIscipy~=1.18pyproject.toml
PyPIscipy<1.17pyproject.toml
PyPInumpy>=1.26,<2.5pyproject.toml
PyPIpackaging~=26.0pyproject.toml
PyPItqdm~=4.68pyproject.toml
PyPIcolorama==0.4.6pyproject.toml
PyPIdeepdiff~=9.1pyproject.toml
PyPIgeojson~=3.3pyproject.toml
PyPItyping_extensions~=4.16pyproject.toml
PyPIpandera~=0.32pyproject.toml
All dependencies 43

Full resolved dependency set from the GitHub dependency graph: 11 direct and 32 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcolorama0.4.6direct
PyPIdeepdiffdirect
PyPIgeojsondirect
PyPInetworkxdirect
PyPInumpydirect
PyPIpackagingdirect
PyPIpandasdirect
PyPIpanderadirect
PyPIscipydirect
PyPItqdmdirect
PyPItyping-extensionsdirect
PyPIcryptographyindirect
PyPIgeopandasindirect
PyPIjuliacallindirect
PyPIlightsim2gridindirect
PyPIlxmlindirect
PyPImatplotlibindirect
PyPImatpowercaseframesindirect
PyPImypyindirect
PyPInbmakeindirect
PyPInumbaindirect
PyPInumpydocindirect
PyPIopendssdirect-pyindirect
PyPIopenpyxlindirect
PyPIortoolsindirect
PyPIpandas-stubsindirect
PyPIplotlyindirect
PyPIpower-grid-model-ioindirect
PyPIpsycopgindirect
PyPIpytestindirect
PyPIpytest-splitindirect
PyPIpytest-timeoutindirect
PyPIscipy-stubsindirect
PyPIshapelyindirect
PyPIsphinxindirect
PyPIsphinx-pyprojectindirect
PyPIsphinx-rtd-themeindirect
PyPIsphinxcontrib-imagesvgindirect
PyPItypes-networkxindirect
PyPItypes-openpyxlindirect
PyPItypes-shapelyindirect
PyPItypes-tqdmindirect
PyPIxlsxwriterindirect
Dependency advisories 0

Installing pypi:pandapower@3.5.4 pulls in 24 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 v0.31.0 — full methodology · metrics wiki.

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