Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-27 17:24 UTC

powsybl / pypowsybl

A PowSyBl and Python integration based on GraalVM native image

Java · PythonMPL-2.0★ 100 Sterne⑂ 26 Forksseit Nov. 2020Auf GitHub ansehen ↗

powsybl/pypowsybl erreicht einen Gesundheitsindex von 80 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (86/100) ab, am schwächsten bei AI Readiness (67/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.

80
gesamt / 100
Gut

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

80
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

PowSyBlOrganisation
165 Follower51 öffentliche Reposseit Juli 2017

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIpypowsybl1.16.120.32930vor 5 Tagen

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

86Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
24.2/36Commit-Rhythmus — 35/52 Wochen mit Commits
18/18Commit-Volumen — 151 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year151
human_commit_share0,99
days_since_last_push0
active_weeks_last_year35
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 53 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 5 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 58,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count53
latest_release_tagv1.16.1
releases_from_tagsnein
days_since_latest_release5
mean_days_between_releases58,4

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

71Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
32.4/60Stars — 100 Stars
11.7/25Forks — 26 Forks
7.1/15Watcher — 20 Watcher
Verwendete Eingangsdaten
forks26
stars100
watchers20
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MPL-2.0)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templateja
Wie die Bewertung erfolgt
57.4/80Downloads pro Monat — 20.329 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagespypowsybl
dependents
ecosystemspypi
total_downloads
monthly_downloads20.329
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

81Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
36/54Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab
16.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 25 % der Commits
13.5/13.5Breite der Beitragenden — 47 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor3
contributors_sampled47
top_contributor_share0,254
Wie die Bewertung erfolgt
34.6/46.8Issue-Lösungsquote — 74 % der Issues geschlossen
34.9/38.3PR-Annahme — 872/956 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs872
open_issues77
closed_issues220
issue_closed_ratio0,741
closed_unmerged_prs84
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
16/25Reichweite des Inhabers — 165 Follower von powsybl
24.5/25Kontohistorie — 51 öffentliche Repos, Kontoalter ca. 9 Jahre
Verwendete Eingangsdaten
followers165
owner_typeOrganization
is_verified
owner_loginpowsybl
public_repos51
account_age_days3.309

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 5 Tagen
20/20Versionshistorie — 30 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespypowsybl
ecosystemspypi
any_deprecatednein
min_days_since_publish5

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

84Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 5 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .pylintrc
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_confignein

Dokumentation

85Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
10/10Topics — 9 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsloadflow, powerflow, power-flow, load-flow, power-system, power-system-analysis, power-system-simulation, cgmes, python
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

73Gut · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.5/2.5CI-Tests — 29 out of 29 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 9 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
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
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
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,6
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages7
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:pypowsybl@1.16.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 7 Paketen. Erreichbarkeit wird nicht analysiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

67Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 87 von 99 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,879
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .pylintrc
11/11Statische Typprüfung — mypy.ini, pypowsybl/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
8/8Automatisierte Wartung — 1 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languageja
bootstrap_filesdocs/Makefile
has_devcontainernein
has_linter_configja
typecheck_configsmypy.ini, pypowsybl/py.typed
agent_commit_share0
toolchain_manifestsjava/pom.xml, java/pypowsybl/pom.xml
dependency_bot_commit_share0,01
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — Java (statisch typisiert)
54.2/55Handhabbare Dateigrößen — 8/547 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageJava
largest_source_bytes342.394
source_files_sampled547
oversized_source_files8

Eckdaten

100GitHub-Sterne
47Mitwirkende
151Commits, letzte 12 Monate
0Tage seit letztem Push
53Releases
3Bus-Faktor
77offene Issues
Maven, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 26 ⇿
0Sterne
26Forks
44Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

0510152025302622021-042023-112026-07
Major 1Minor 32Patch 10

Jeder Punkt umfasst 5 Tage.

OpenSSF Scorecard 6.6 / 10
6.6Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-27 17:24 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-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-Tests29 out of 29 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 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 12 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
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
1Vulnerabilities9 existing vulnerabilities detected
Direkte Abhängigkeiten 4
RegistryPaketVersionsvorgabeManifest
Mavencom.powsybl:powsybl-dependencies${powsybl-dependencies.version}java/pom.xml
PyPIprettytable>=2.0.0setup.cfg
PyPIpandas>=2.2.3setup.cfg
PyPInetworkxsetup.cfg
Alle Abhängigkeiten 89

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 4 direkte und 85 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
Mavencom.powsybl:powsybl-dependencies2026.1.0direkt
PyPInetworkxdirekt
PyPIpandasdirekt
PyPIprettytabledirekt
Mavench.qos.logback:logback-classicindirekt
Mavench.qos.logback:logback-coreindirekt
Mavencom.github.luben:zstd-jniindirekt
Mavencom.google.re2j:re2jindirekt
Mavencom.powsybl:open-rao-crac-apiindirekt
Mavencom.powsybl:open-rao-crac-implindirekt
Mavencom.powsybl:open-rao-crac-io-cimindirekt
Mavencom.powsybl:open-rao-crac-io-cseindirekt
Mavencom.powsybl:open-rao-crac-io-fb-constraintindirekt
Mavencom.powsybl:open-rao-crac-io-jsonindirekt
Mavencom.powsybl:open-rao-crac-io-ncindirekt
Mavencom.powsybl:open-rao-monitoringindirekt
Mavencom.powsybl:open-rao-rao-apiindirekt
Mavencom.powsybl:open-rao-rao-result-jsonindirekt
Mavencom.powsybl:open-rao-search-tree-raoindirekt
Mavencom.powsybl:powsybl-ampl-converterindirekt
Mavencom.powsybl:powsybl-cgmes-conformityindirekt
Mavencom.powsybl:powsybl-cgmes-conversionindirekt
Mavencom.powsybl:powsybl-cgmes-extensionsindirekt
Mavencom.powsybl:powsybl-cgmes-glindirekt
Mavencom.powsybl:powsybl-cgmes-modelindirekt
Mavencom.powsybl:powsybl-commons-testindirekt
Mavencom.powsybl:powsybl-config-classicindirekt
Mavencom.powsybl:powsybl-dynaflowindirekt
Mavencom.powsybl:powsybl-dynawo-extensions-apiindirekt
Mavencom.powsybl:powsybl-dynawo-extensions-implindirekt
Mavencom.powsybl:powsybl-dynawo-extensions-serdeindirekt
Mavencom.powsybl:powsybl-dynawo-simulationindirekt
Mavencom.powsybl:powsybl-entsoe-commonsindirekt
Mavencom.powsybl:powsybl-flow-decompositionindirekt
Mavencom.powsybl:powsybl-glsk-document-ucteindirekt
Mavencom.powsybl:powsybl-ieee-cdf-converterindirekt
Mavencom.powsybl:powsybl-iidm-apiindirekt
Mavencom.powsybl:powsybl-iidm-geodataindirekt
Mavencom.powsybl:powsybl-iidm-implindirekt
Mavencom.powsybl:powsybl-iidm-modificationindirekt
Mavencom.powsybl:powsybl-iidm-reducerindirekt
Mavencom.powsybl:powsybl-iidm-serdeindirekt
Mavencom.powsybl:powsybl-iidm-testindirekt
Mavencom.powsybl:powsybl-loadflow-apiindirekt
Mavencom.powsybl:powsybl-loadflow-results-completionindirekt
Mavencom.powsybl:powsybl-math-nativeindirekt
Mavencom.powsybl:powsybl-matpower-converterindirekt
Mavencom.powsybl:powsybl-network-area-diagramindirekt
Mavencom.powsybl:powsybl-open-loadflowindirekt
Mavencom.powsybl:powsybl-open-reacindirekt
Mavencom.powsybl:powsybl-powerfactory-converterindirekt
Mavencom.powsybl:powsybl-powerfactory-dgsindirekt
Mavencom.powsybl:powsybl-psse-converterindirekt
Mavencom.powsybl:powsybl-shortcircuit-apiindirekt
Mavencom.powsybl:powsybl-single-line-diagram-cgmes-layoutindirekt
Mavencom.powsybl:powsybl-single-line-diagram-coreindirekt
Mavencom.powsybl:powsybl-toolsindirekt
Mavencom.powsybl:powsybl-triple-store-impl-rdf4jindirekt
Mavencom.powsybl:powsybl-ucte-converterindirekt
Mavenorg.apache.commons:commons-collections44.4indirekt
Mavenorg.apache.commons:commons-csvindirekt
Mavenorg.apache.maven.plugins:maven-dependency-plugin3.6.0indirekt
Mavenorg.apache.maven.plugins:maven-shade-pluginindirekt
Mavenorg.assertj:assertj-coreindirekt
Mavenorg.awaitility:awaitilityindirekt
Mavenorg.codehaus.janino:janino3.1.0indirekt
Mavenorg.graalvm.nativeimage:svm23.1.2indirekt
Mavenorg.graalvm.sdk:nativeimage23.1.2indirekt
Mavenorg.mapdb:mapdb3.0.8indirekt
Mavenorg.slf4j:log4j-over-slf4jindirekt
PyPIcmakeindirekt
PyPIcoverage7.3.2indirekt
PyPIfuro2025.12.19indirekt
PyPIllvmliteindirekt
PyPImatplotlibindirekt
PyPImypy1.15.0indirekt
PyPIpandapowerindirekt
PyPIpandas-stubs2.2.2.240603indirekt
PyPIpybind11indirekt
PyPIpylint3.2.0indirekt
PyPIpyoptinterface0.6.1indirekt
PyPIpytestindirekt
PyPIpytest-asyncio0.24.0indirekt
PyPIsetuptoolsindirekt
PyPIsphinx9.0.4indirekt
PyPItabulate0.9.0indirekt
PyPItccboxindirekt
PyPItypes-tabulateindirekt
PyPIwheelindirekt
Abhängigkeits-Advisories 0

Die Installation von pypi:pypowsybl@1.16.1 zieht 7 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.

Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.

Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.

JSON-Rohbericht maschinenlesbar
{
  "data": {
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        "cgmes",
        "python"
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      "is_fork": false,
      "size_kb": 14721,
      "has_wiki": true,
      "homepage": null,
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      "primary_language": "Java",
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      "created_at": "2017-07-05T09:45:29Z",
      "is_verified": null,
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      "account_age_days": 3309
    },
    "license": {
      "state": "standard",
      "spdx_id": "MPL-2.0",
      "raw_spdx": "MPL-2.0",
      "file_present": true,
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    },
    "activity": {
      "releases": [
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          "tag": "v1.16.1",
          "kind": "patch",
          "published_at": "2026-07-22T11:26:51Z"
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        {
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          "kind": "minor",
          "published_at": "2026-07-21T09:42:07Z"
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        {
          "tag": "v1.15.0",
          "kind": "minor",
          "published_at": "2026-04-16T14:48:03Z"
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        {
          "tag": "v1.14.0",
          "kind": "minor",
          "published_at": "2026-01-15T12:04:07Z"
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        {
          "tag": "v1.13.0",
          "kind": "minor",
          "published_at": "2025-10-31T11:14:42Z"
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              "has_linter_config": true,
              "has_precommit_config": false
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "5 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 5
                    }
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                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
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              {
                "key": "linter_config",
                "name": "Linter config",
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                "points": 16,
                "status": "met",
                "details": [
                  {
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                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
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                "points": 0,
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                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "29 out of 29 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
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                "powerflow",
                "power-flow",
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                "power-system",
                "power-system-analysis",
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                "cgmes",
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              "has_wiki": true,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": true,
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            "components": [
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                "key": "readme",
                "name": "README",
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                "points": 30,
                "status": "met",
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              {
                "key": "documentation_directory",
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                "key": "topics",
                "name": "Topics",
                "detail": "9 topics",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "topics_count",
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                      "count": 9
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                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
        "band": "good",
        "name": "Security",
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        "weight": 0.16,
        "metrics": [
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            "key": "security_posture",
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            "notes": [
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                "code": "excluded_no_data",
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              },
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                "code": "weights_renormalized",
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            "value": 66,
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            "components": [
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                "details": [],
                "max_points": 7.5
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              {
                "key": "branch_protection",
                "name": "Branch-Protection",
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                "points": 0,
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              },
              {
                "key": "cii_best_practices",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
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              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 9 contributing companies or organizations",
                "points": 2.5,
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
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                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
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                "max_points": 5
              },
              {
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                "points": 2.5,
                "status": "met",
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                "key": "maintained",
                "name": "Maintained",
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                "details": [],
                "max_points": 7.5
              },
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                "key": "packaging",
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                "status": "excluded",
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                "max_points": 5
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                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
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                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
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              {
                "key": "security_policy",
                "name": "Security-Policy",
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                "points": 5,
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                "details": [],
                "max_points": 5
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                "key": "signed_releases",
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                "details": [],
                "max_points": 7.5
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
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              {
                "key": "vulnerabilities",
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                "status": "partial",
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            "key": "dependency_advisories",
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            "notes": [
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                "code": "excluded_no_data",
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              {
                "code": "weights_renormalized",
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              {
                "code": "advisories_scope_published",
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              "direct_affected_packages": 0
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                "key": "no_advisories_left_outstanding",
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                "status": "excluded",
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            "note": null,
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
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        "weight": 0,
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                "key": "one_command_bootstrap",
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                "points": 11,
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              },
              {
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                "name": "Static type checking",
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                "points": 11,
                "status": "met",
                "details": [
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              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
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                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                "detail": "1 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 6",
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                "status": "partial",
                "details": [],
                "max_points": 10
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          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
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            "notes": [],
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              "source_files_sampled": 547,
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              {
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                "points": 45,
                "status": "met",
                "details": [
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                    "code": "statically_typed_language",
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                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
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                "detail": "8/547 source files over 60KB",
                "points": 54.2,
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                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T17:24:49.274034Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/powsybl/pypowsybl.svg",
  "full_name": "powsybl/pypowsybl",
  "license_state": "standard",
  "license_spdx": "MPL-2.0"
}

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