Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-30 16:46 UTC

ansys / pymechanical

Pythonic interface to Ansys Mechanical ™

PythonMIT★ 75 Sterne⑂ 37 Forksseit Juni 2022Auf GitHub ansehen ↗

ansys/pymechanical erreicht einen Gesundheitsindex von 86 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei Community & Adoption (69/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

86
gesamt / 100
Exzellent

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.

86
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

AnsysOrganisation
1.722 Follower214 öffentliche Reposseit Mai 2020

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIansys-mechanical-core0.13.042.24573vor 6 Tagenpymechanicalmechanicalansyspyansys

Metriken nach Kategorie

Vitalität

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

99Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
35.3/36Commit-Rhythmus — 51/52 Wochen mit Commits
18/18Commit-Volumen — 319 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year319
human_commit_share0,64
days_since_last_push0
active_weeks_last_year51

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 72 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 6 Tagen
27/27Release-Rhythmus — ein Release etwa alle 12 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count72
latest_release_tagv0.13.0
releases_from_tagsnein
days_since_latest_release6
mean_days_between_releases12
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?

69Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
30.3/60Stars — 75 Stars
13/25Forks — 37 Forks
1.7/15Watcher — 3 Watcher
Verwendete Eingangsdaten
forks37
stars75
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
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
61.7/80Downloads pro Monat — 42.245 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagesansys-mechanical-core
dependents
ecosystemspypi
total_downloads
monthly_downloads42.245
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?

79Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
12.9/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 42 % der Commits
13.5/13.5Breite der Beitragenden — 21 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled21
top_contributor_share0,425
Wie die Bewertung erfolgt
36.5/46.8Issue-Lösungsquote — 78 % der Issues geschlossen
33.9/38.3PR-Annahme — 1.168/1.316 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs1.168
open_issues71
closed_issues252
issue_closed_ratio0,78
closed_unmerged_prs148
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
23.3/25Reichweite des Inhabers — 1.722 Follower von ansys
25/25Kontohistorie — 214 öffentliche Repos, Kontoalter ca. 6 Jahre
Verwendete Eingangsdaten
followers1.722
owner_typeOrganization
is_verified
owner_loginansys
public_repos214
account_age_days2.255

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 6 Tagen
20/20Versionshistorie — 73 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesansys-mechanical-core
ecosystemspypi
any_deprecatednein
min_days_since_publish6

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 13 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://mechanical.docs.pyansys.com
10/10Repository-Beschreibung
10/10Topics — 5 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsansys, ansys-mechanical, mechanical, simulation, python
has_wikinein
homepagehttps://mechanical.docs.pyansys.com
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

91Exzellent · 16 % des Gesamtindex

Sicherheitslage

89Exzellent
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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 5 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 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8,9
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. 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_packages21
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:ansys-mechanical-core@0.13.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 21 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.

80Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .github/copilot-instructions.md
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 64 von 64 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share1
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes2.928
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — doc/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — src/ansys/mechanical/core/py.typed
10/10Reproduzierbare Umgebung — devcontainer, Dockerfile
4/10Belegte Agentenpraxis — 2 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
8/8Automatisierte Wartung — 21 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languagenein
bootstrap_filesdoc/Makefile
has_devcontainerja
has_linter_configja
typecheck_configssrc/ansys/mechanical/core/py.typed
agent_commit_share0,02
toolchain_manifests
dependency_bot_commit_share0,21
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/ansys/mechanical/core/py.typed)
54.4/55Handhabbare Dateigrößen — 1/99 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes99.647
source_files_sampled99
oversized_source_files1
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

75GitHub-Sterne
21Mitwirkende
319Commits, letzte 12 Monate
0Tage seit letztem Push
72Releases
2Bus-Faktor
71offene Issues
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 ★ / 37 ⇿
0Sterne
37Forks
64Releases

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.

01325383722023-042024-112026-06
Major 0Minor 5Patch 59

Jeder Punkt umfasst 3 Tage.

OpenSSF Scorecard 8.9 / 10
8.9Gesamtwert

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 · 2026-07-30 16:46 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 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 5 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 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 12
RegistryPaketVersionsvorgabeManifest
PyPIansys-api-mechanical==0.1.4pyproject.toml
PyPIansys-mechanical-stubs==0.1.12pyproject.toml
PyPIansys-pythonnet>=3.1.0rc8pyproject.toml
PyPIansys-tools-common>=0.4.0pyproject.toml
PyPIappdirs>=1.4.0pyproject.toml
PyPIclick>=8.1.3pyproject.toml
PyPIclr-loader>=0.2.6pyproject.toml
PyPIgrpcio>=1.30.0pyproject.toml
PyPIprotobuf>=5pyproject.toml
PyPIpsutil>=6pyproject.toml
PyPItqdm>=4.45.0pyproject.toml
PyPIrequests>=2,<3pyproject.toml
Alle Abhängigkeiten 42

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 12 direkte und 30 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIansys-api-mechanical0.1.4direkt
PyPIansys-mechanical-stubs0.1.12direkt
PyPIansys-pythonnetdirekt
PyPIansys-tools-commondirekt
PyPIappdirsdirekt
PyPIclickdirekt
PyPIclr-loaderdirekt
PyPIgrpciodirekt
PyPIprotobufdirekt
PyPIpsutildirekt
PyPIrequestsdirekt
PyPItqdmdirekt
PyPIansys-mechanical-mcpindirekt
PyPIansys-platform-instancemanagementindirekt
PyPIansys-sphinx-themeindirekt
PyPIansys-tools-visualization-interfaceindirekt
PyPIimageioindirekt
PyPIimageio-ffmpegindirekt
PyPIjupyter-sphinxindirekt
PyPIjupyterlabindirekt
PyPImatplotlibindirekt
PyPImypyindirekt
PyPInumpyindirekt
PyPInumpydocindirekt
PyPIpre-commitindirekt
PyPIpypandocindirekt
PyPIpytestindirekt
PyPIpytest-covindirekt
PyPIpytest-printindirekt
PyPIrpycindirekt
PyPIruffindirekt
PyPIsphinxindirekt
PyPIsphinx-autobuildindirekt
PyPIsphinx-autodoc-typehintsindirekt
PyPIsphinx-clickindirekt
PyPIsphinx-copybuttonindirekt
PyPIsphinx-galleryindirekt
PyPIsphinx-notfound-pageindirekt
PyPIsphinxcontrib-websupportindirekt
PyPItoolzindirekt
PyPIusd-coreindirekt
PyPIuvindirekt
Abhängigkeits-Advisories 0

Die Installation von pypi:ansys-mechanical-core@0.13.0 zieht 21 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
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          "tag": "v0.12.1",
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          "tag": "v0.12.0",
          "kind": "minor",
          "published_at": "2026-01-07T16:14:25Z"
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          "tag": "v0.11.38",
          "kind": "patch",
          "published_at": "2025-12-10T17:34:26Z"
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          "tag": "v0.11.36",
          "kind": "patch",
          "published_at": "2025-11-13T20:02:15Z"
        },
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          "tag": "v0.11.35",
          "kind": "patch",
          "published_at": "2025-10-30T14:12:16Z"
        },
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          "tag": "v0.11.34",
          "kind": "patch",
          "published_at": "2025-09-19T15:44:10Z"
        },
        {
          "tag": "v0.11.33",
          "kind": "patch",
          "published_at": "2025-09-18T14:09:46Z"
        },
        {
          "tag": "v0.11.32",
          "kind": "patch",
          "published_at": "2025-08-26T14:38:01Z"
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          "tag": "v0.11.31",
          "kind": "patch",
          "published_at": "2025-08-15T18:20:41Z"
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          "published_at": "2025-08-08T12:50:06Z"
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          "tag": "v0.11.28",
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  "generated_at": "2026-07-30T16:46:40.527289Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/ansys/pymechanical.svg",
  "full_name": "ansys/pymechanical",
  "license_state": "standard",
  "license_spdx": "MIT"
}

Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.

Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.