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Software-GesundheitsberichtSchema 0.15.0 · Metriken 1.13.0 · 2026-07-19 20:34 UTC

aiplan4eu / unified-planning

The AIPlan4EU Unified Planning Library

PythonApache-2.0★ 312 Sterne⑂ 60 Forksseit März 2021Auf GitHub ansehen ↗

aiplan4eu/unified-planning erreicht einen Gesundheitsindex von 73 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (86/100) ab, am schwächsten bei Security (54/100). Zuletzt vor 2 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

73
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.

73
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

AIPlan4EUOrganisation
45 Follower47 öffentliche Reposseit März 2021

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIunified_planningverweist auf ein anderes Repo — nicht bewertet1.3.0102.571396vor 214 Tagenplanninglogicstripsrddl

Metriken nach Kategorie

Vitalität

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

79Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 2 Tagen
26.3/36Commit-Rhythmus — 38/52 Wochen mit Commits
18/18Commit-Volumen — 303 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year303
human_commit_share
days_since_last_push2
active_weeks_last_year38
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 4 Releases veröffentlicht
16.2/36Release-Aktualität — letztes Release vor 214 Tagen
12.6/27Release-Rhythmus — ein Release etwa alle 300,3 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count4
latest_release_tagv1.3.0
releases_from_tagsnein
days_since_latest_release214
mean_days_between_releases300,3
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

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

72Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
40.4/60Stars — 312 Stars
14.8/25Forks — 60 Forks
6/15Watcher — 13 Watcher
Verwendete Eingangsdaten
forks60
stars312
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

71Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
13/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 42 % der Commits
13.5/13.5Breite der Beitragenden — 36 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled36
top_contributor_share0,424
Wie die Bewertung erfolgt
38.8/46.8Issue-Lösungsquote — 83 % der Issues geschlossen
35.4/38.3PR-Annahme — 448/484 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs448
open_issues36
closed_issues176
issue_closed_ratio0,83
closed_unmerged_prs36
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
12/25Reichweite des Inhabers — 45 Follower von aiplan4eu
23/25Kontohistorie — 47 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers45
owner_typeOrganization
is_verified
owner_loginaiplan4eu
public_repos47
account_age_days1.966

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

86Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
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
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

54Mittel · 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 — 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 16 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
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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 — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.

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.

55Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile, justfile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — .mypy.ini, unified_planning/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_filesdocs/Makefile, justfile
has_devcontainernein
has_linter_configja
typecheck_configs.mypy.ini, unified_planning/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (.mypy.ini, unified_planning/py.typed)
54.7/55Handhabbare Dateigrößen — 2/316 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes98.939
source_files_sampled316
oversized_source_files2
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — unified_planning/grpc/unified_planning.proto
0/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalnein
api_schema_filesunified_planning/grpc/unified_planning.proto

Eckdaten

312GitHub-Sterne
36Mitwirkende
303Commits, letzte 12 Monate
2Tage seit letztem Push
4Releases
2Bus-Faktor
36offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • pypi package 'unified_planning' points at a different repository (https://www.aiplan4eu-project.eu); excluded from ecosystem scoring

Weitere Details

OpenSSF Scorecard 5.4 / 10
5.4Gesamtwert

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 · 2026-07-19 20:33 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-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 16 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Alle Abhängigkeiten 40

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 40 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
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PyPIdocutilsindirekt
PyPIgraphvizindirekt
PyPIgrpc-stubsindirekt
PyPIgrpcioindirekt
PyPIgrpcio1.66.2indirekt
PyPIgrpcio-toolsindirekt
PyPIgrpcio-tools1.66.2indirekt
PyPIjupyterindirekt
PyPIkaleidoindirekt
PyPIlinkify-it-pyindirekt
PyPImatplotlib3.7.3indirekt
PyPImypyindirekt
PyPImypy1.12.0indirekt
PyPImyst-parserindirekt
PyPInbsphinxindirekt
PyPInbsphinx-linkindirekt
PyPInetworkxindirekt
PyPInumpyindirekt
PyPIpandasindirekt
PyPIpddlindirekt
PyPIplotlyindirekt
PyPIpre-commitindirekt
PyPIpygraphvizindirekt
PyPIpyparsingindirekt
PyPIpysmtindirekt
PyPIpytestindirekt
PyPIpytest-covindirekt
PyPIsphinxindirekt
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PyPItarskiindirekt
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PyPIup-fast-downwardindirekt
PyPIup-fmapindirekt
PyPIup-lpgindirekt
PyPIup-pyperplanindirekt
PyPIup-symkindirekt
PyPIup-tamerindirekt
JSON-Rohbericht maschinenlesbar
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            "reason": "no dangerous workflow patterns detected",
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  "generated_at": "2026-07-19T20:34:17.285404Z",
  "schema_version": "0.15.0",
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}

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