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Software-GesundheitsberichtSchema 0.9.0 · Metriken 1.13.0 · 2026-07-14 08:28 UTC

chunkhound / chunkhound

Local first codebase intelligence

PythonMIT★ 1.357 Sterne⑂ 110 Forksseit Juni 2025Auf GitHub ansehen ↗

chunkhound/chunkhound erreicht einen Gesundheitsindex von 68 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei Security (38/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

68
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.

68
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

ChunkHoundOrganisation
11 Follower2 öffentliche Reposseit Aug. 2025

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIchunkhound5.2.1-51vor 1 Tag

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 — 750 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year750
human_commit_share
days_since_last_push0
active_weeks_last_year51

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 43 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 1 Tagen
27/27Release-Rhythmus — ein Release etwa alle 35,8 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count43
latest_release_tagv5.2.1
releases_from_tagsnein
days_since_latest_release1
mean_days_between_releases35,8
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
50.8/60Stars — 1.357 Stars
17/25Forks — 110 Forks
5/15Watcher — 9 Watcher
Verwendete Eingangsdaten
forks110
stars1.357
watchers9
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
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
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?

56Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
4.1/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 82 % der Commits
13.5/13.5Breite der Beitragenden — 22 Beitragende
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Verwendete Eingangsdaten
bus_factor1
contributors_sampled22
top_contributor_share0,817
Wie die Bewertung erfolgt
21.1/46.8Issue-Lösungsquote — 45 % der Issues geschlossen
32.3/38.3PR-Annahme — 175/207 entschiedene PRs gemergt
9/15OpenSSF Scorecard: Code-Review — Found 18/30 approved changesets -- score normalized to 6
Verwendete Eingangsdaten
merged_prs175
open_issues74
closed_issues61
issue_closed_ratio0,452
closed_unmerged_prs32
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
7.8/25Reichweite des Inhabers — 11 Follower von chunkhound
5.2/25Kontohistorie — 2 öffentliche Repos, Kontoalter ca. 0 Jahre
Verwendete Eingangsdaten
followers11
owner_typeOrganization
is_verified
owner_loginchunkhound
public_repos2
account_age_days320

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 1 Tagen
20/20Versionshistorie — 51 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packageschunkhound
ecosystemspypi
any_deprecatednein
min_days_since_publish1

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

71Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 5 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://chunkhound.ai
10/10Repository-Beschreibung
10/10Topics — 7 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsagent, ai, duckdb, mcp-server, rag, semantic-search, tree-sitter
has_wikija
homepagehttps://chunkhound.ai
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

38Gefährdet · 16 % des Gesamtindex

Sicherheitslage

38Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 28 out of 28 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
4.5/7.5Code-Review — Found 18/30 approved changesets -- score normalized to 6
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
0/10Dangerous-Workflow — keine Daten
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 17 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
0/5Pinned-Dependencies — keine Daten
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 — keine Daten
0/7.5Vulnerabilities — 138 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate3,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. 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.

72Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md, CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7.722
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 — Makefile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — chunkhound/autodoc/assets/tsconfig.json, chunkhound/py.typed, site/tsconfig.json
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesCargo.lock, package-lock.json, uv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile
has_devcontainernein
has_linter_confignein
typecheck_configschunkhound/autodoc/assets/tsconfig.json, chunkhound/py.typed, site/tsconfig.json
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung, OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (chunkhound/autodoc/assets/tsconfig.json, chunkhound/py.typed, site/tsconfig.json)
53.6/55Handhabbare Dateigrößen — 20/800 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes279.633
source_files_sampled800
oversized_source_files20
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
20/20MCP-Server
0/40Lauffähige Beispiele
Verwendete Eingangsdaten
example_dirs
has_mcp_signalja
api_schema_files

Eckdaten

1.357GitHub-Sterne
22Mitwirkende
750Commits, letzte 12 Monate
0Tage seit letztem Push
43Releases
1Bus-Faktor
74offene Issues
crates.io, npm, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Could not fetch crates package 'chunkhound_native' from its registry
  • Could not fetch npm package 'chunkhound-site' from its registry

Weitere Details

OpenSSF Scorecard 3.8 / 10
3.8Gesamtwert

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 · 2026-07-14 08:26 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 18/30 approved changesets -- score normalized to 6
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
k. A.Dangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
k. A.Pinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
k. A.Token-PermissionsNo tokens found
0Vulnerabilities138 existing vulnerabilities detected
Direkte Abhängigkeiten 66
RegistryPaketVersionsvorgabeManifest
crates.iopyo30.22Cargo.toml
crates.ioignore0.4Cargo.toml
PyPIduckdb==1.4.4pyproject.toml
PyPIopenai>=1.0.0pyproject.toml
PyPIjsonschema>=4.0.0pyproject.toml
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PyPIaiohttp>=3.12.15pyproject.toml
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PyPItree-sitter-markdown>=0.5.1pyproject.toml
PyPItree-sitter-language-pack>=0.7.3,<1.0.0pyproject.toml
PyPIpydantic>=2.12.0pyproject.toml
PyPIpydantic-settings>=2.0.0pyproject.toml
PyPIloguru>=0.6.0pyproject.toml
PyPImcp>=1.0.0pyproject.toml
PyPIpsutil>=5.8.0pyproject.toml
PyPIPyYAML>=6.0.0pyproject.toml
PyPItiktoken>=0.9.0pyproject.toml
PyPItree-sitter-groovy>=0.1.2pyproject.toml
PyPItree-sitter-kotlin>=1.1.0pyproject.toml
PyPItree-sitter-elixir>=0.3.4pyproject.toml
PyPItree-sitter-lua>=0.4.0pyproject.toml
PyPItree-sitter-make>=0.1.0pyproject.toml
PyPIwatchdog>=4.0.0pyproject.toml
PyPIxxhash>=3.0.0pyproject.toml
PyPItree-sitter-bash>=0.25.0pyproject.toml
PyPItree-sitter-c>=0.24.1pyproject.toml
PyPItree-sitter-c-sharp>=0.23.1pyproject.toml
PyPItree-sitter-cpp>=0.23.4pyproject.toml
PyPItree-sitter-java>=0.23.5pyproject.toml
PyPItree-sitter-javascript>=0.25.0pyproject.toml
PyPItree-sitter-typescript>=0.23.2pyproject.toml
PyPItree-sitter-go>=0.25.0pyproject.toml
PyPItree-sitter-haskell>=0.23.1pyproject.toml
PyPItree-sitter-rust>=0.24.0pyproject.toml
PyPItree-sitter-zig>=1.1.0pyproject.toml
PyPItree-sitter-json>=0.24.8pyproject.toml
PyPItree-sitter-php>=0.24.0pyproject.toml
PyPItree-sitter-sql>=0.3.0pyproject.toml
PyPItree-sitter-toml>=0.7.0pyproject.toml
PyPIlancedb>=0.25.3pyproject.toml
PyPIpandas>=2.3.0pyproject.toml
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PyPIvoyageai>=0.2.0pyproject.toml
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PyPIpymupdf>=1.27.0pyproject.toml
PyPIrich>=13.0.0pyproject.toml
PyPIreadchar>=4.2.1pyproject.toml
PyPIscikit-learn>=1.3.0pyproject.toml
PyPIscipy>=1.7.0pyproject.toml
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PyPIpathspec>=0.12.1pyproject.toml
PyPIpygit2>=1.12.0pyproject.toml
PyPIgoogle-genai>=1.51.0pyproject.toml
PyPIanthropic>=0.96.0,<1.0.0pyproject.toml
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PyPIzstandard>=0.23.0pyproject.toml
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PyPIlark>=1.1.0pyproject.toml
PyPImarkdownify>=1.0pyproject.toml
PyPIzendriver==0.15.3pyproject.toml
npm@phosphor-icons/webcomponents^2.1.5site/package.json
JSON-Rohbericht maschinenlesbar
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            "reason": "security policy file not detected",
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            "reason": "No tokens found",
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      "notes": [],
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            "key": "responsiveness",
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                "key": "pr_acceptance",
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            "notes": [],
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              "followers": 11,
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              "is_verified": null,
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            "components": [
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                "key": "ownership_backing",
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                "details": [
                  {
                    "code": "owner_organization",
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                "max_points": 30
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              {
                "key": "verified_domain",
                "name": "Verified domain",
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                "points": 0,
                "status": "missed",
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                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "11 followers of chunkhound",
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                "max_points": 25
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "2 public repos, account ~0 yr old",
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                    "code": "public_repos",
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                    "code": "account_age_years",
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                      "years": 0
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                "max_points": 25
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            "key": "package_maintenance",
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            "name": "Package maintenance",
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              "ecosystems": "pypi",
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                "key": "published_resolvable",
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                "max_points": 25
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                "key": "publish_recency",
                "name": "Publish recency",
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                "max_points": 35
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                "key": "version_history",
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                "points": 20,
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                "key": "not_deprecated",
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                "max_points": 20
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "license",
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                "key": "maintained",
                "name": "Maintained",
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                "max_points": 100
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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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        "weight": 0,
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            "notes": [
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                "code": "excluded_no_data",
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            "value": 75,
            "inputs": {
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}

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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.9.0 — vollständige Methodik · Metriken-Wiki.

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