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Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-18 13:38 UTC

dofuuz / python-soxr

Fast and high quality sample-rate conversion library for Python

Python · C++ · CMakeEigene Lizenz★ 109 Sterne⑂ 10 Forksseit Apr. 2021Auf GitHub ansehen ↗

dofuuz/python-soxr erreicht einen Gesundheitsindex von 55 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (66/100) ab, am schwächsten bei AI Readiness (23/100). Zuletzt vor 14 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

55
gesamt / 100
Mittel

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.

55
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

Myungchul KeumPersönliches Konto
18 Follower53 öffentliche Reposseit Juli 2014

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIsoxr1.1.0-38vor 76 Tagenaudio-resamplingsamplerate-conversionsrcsignal-processingresampler

Metriken nach Kategorie

Vitalität

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

66Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 14 Tagen
6.9/36Commit-Rhythmus — 10/52 Wochen mit Commits
11.5/18Commit-Volumen — 18 Commits im letzten Jahr
8/10OpenSSF Scorecard: Maintained — 9 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 8
Verwendete Eingangsdaten
commits_last_year18
human_commit_share
days_since_last_push14
active_weeks_last_year10
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 12 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 76 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 104,5 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count12
latest_release_tagv1.1.0
releases_from_tagsnein
days_since_latest_release76
mean_days_between_releases104,5

Community & Verbreitung

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

44Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
33/60Stars — 109 Stars
8/25Forks — 10 Forks
2.7/15Watcher — 4 Watcher
Verwendete Eingangsdaten
forks10
stars109
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

55Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits
1.4/13.5Breite der Beitragenden — 1 Beitragende
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Verwendete Eingangsdaten
bus_factor1
contributors_sampled1
top_contributor_share1
Wie die Bewertung erfolgt
41.7/46.8Issue-Lösungsquote — 89 % der Issues geschlossen
32.8/38.3PR-Annahme — 6/7 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs6
open_issues3
closed_issues25
issue_closed_ratio0,893
closed_unmerged_prs1
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
9.2/25Reichweite des Inhabers — 18 Follower von dofuuz
24.6/25Kontohistorie — 53 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers18
owner_typeUser
is_verified
owner_logindofuuz
public_repos53
account_age_days4.385
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 76 Tagen
20/20Versionshistorie — 38 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagessoxr
ecosystemspypi
any_deprecatednein
min_days_since_publish76

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

66Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
10/10Topics — 7 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsresampler, dsp, samplerate, libsoxr, audio-processing, python, signal-processing
has_wikinein
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

37Gefährdet · 16 % des Gesamtindex

Sicherheitslage

37Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — keine Daten
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5Lizenz — license file detected
6/7.5Maintained — 9 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 8
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not 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
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests. 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.

23Kritisch · 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
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
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_files
has_devcontainernein
has_linter_confignein
typecheck_configs
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
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/13 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes14.270
source_files_sampled13
oversized_source_files0

Eckdaten

109GitHub-Sterne
1Mitwirkende
18Commits, letzte 12 Monate
14Tage seit letztem Push
12Releases
1Bus-Faktor
3offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 3.7 / 10
3.7Gesamtwert

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 · 2026-07-18 13:38 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
k. A.CI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
8Maintained9 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 8
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 1
RegistryPaketVersionsvorgabeManifest
PyPInumpypyproject.toml
Alle Abhängigkeiten 4

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 4 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPInanobindindirekt
PyPIscikit-build-coreindirekt
PyPIsetuptoolsindirekt
PyPIsetuptools-scmindirekt
JSON-Rohbericht maschinenlesbar
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        "source": "github-sbom",
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            "name": "CII-Best-Practices",
            "score": 0,
            "reason": "no effort to earn an OpenSSF best practices badge detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
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          {
            "name": "Contributors",
            "score": 0,
            "reason": "project has 0 contributing companies or organizations -- score normalized to 0",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
          },
          {
            "name": "Dangerous-Workflow",
            "score": 10,
            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
          },
          {
            "name": "Dependency-Update-Tool",
            "score": 0,
            "reason": "no update tool detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
          },
          {
            "name": "Fuzzing",
            "score": 0,
            "reason": "project is not fuzzed",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
          },
          {
            "name": "License",
            "score": 9,
            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
          },
          {
            "name": "Maintained",
            "score": 8,
            "reason": "9 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 8",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
          },
          {
            "name": "Packaging",
            "score": 10,
            "reason": "packaging workflow detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
          },
          {
            "name": "Pinned-Dependencies",
            "score": 0,
            "reason": "dependency not pinned by hash detected -- score normalized to 0",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
          },
          {
            "name": "SAST",
            "score": 0,
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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          {
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                "key": "owner_reach",
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                "key": "track_record",
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            "key": "package_maintenance",
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            "note": null,
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              "ecosystems": "pypi",
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                "details": [],
                "max_points": 7.5
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                "key": "branch_protection",
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                "key": "ci_tests",
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                "key": "cii_best_practices",
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                "key": "code_review",
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              {
                "key": "contributors",
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                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
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                "key": "dangerous_workflow",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
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                "status": "partial",
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                "status": "missed",
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                "max_points": 5
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                "key": "sast",
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                "status": "missed",
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              },
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                "key": "security_policy",
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                "status": "missed",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
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            "name": "Agent context & guidance",
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                "key": "machine_readable_docs_llms_txt",
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                    "code": "no_data",
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                "key": "static_type_checking",
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                "key": "reproducible_environment",
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              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
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                "max_points": 10
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                "key": "automated_maintenance",
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                    "code": "no_data",
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                "max_points": 8
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                "key": "openssf_scorecard_pinned_dependencies",
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                "points": 0,
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                "key": "manageable_file_sizes",
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                    "code": "oversized_source_files",
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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"
  },
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  "report_type": "repository",
  "generated_at": "2026-07-18T13:38:26.817195Z",
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  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/dofuuz/python-soxr.svg",
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}

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 v0.12.0 — vollständige Methodik · Metriken-Wiki.

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