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Software-GesundheitsberichtSchema 0.9.0 · Metriken 1.13.0 · 2026-07-14 01:16 UTC

port-labs / ocean

🌊 Ocean 🌊 is an innovative solution developed by Port to seamlessly integrate various third-party systems with our developer portal product, empowering engineers to effortlessly prioritize key features and streamline the integration process.

PythonApache-2.0★ 181 Sterne⑂ 159 Forksseit Mai 2023Auf GitHub ansehen ↗

port-labs/ocean erreicht einen Gesundheitsindex von 82 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (100/100) ab, am schwächsten bei Security (68/100). Zuletzt heute aktualisiert. 9 Mitwirkende tragen den Großteil der jüngsten Arbeit.

82
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.

82
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

PortOrganisation
317 Follower129 öffentliche Reposseit Jan. 2022

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIport-oceanverweist auf ein anderes Repo — nicht bewertet0.44.11-483vor 0 Tagen

Metriken nach Kategorie

Vitalität

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

100Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
36/36Commit-Rhythmus — 52/52 Wochen mit Commits
18/18Commit-Volumen — 1.058 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_year1.058
human_commit_share
days_since_last_push0
active_weeks_last_year52

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 0,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tagv0.44.11
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases0,6
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?

68Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
36.6/60Stars — 181 Stars
18.3/25Forks — 159 Forks
5.6/15Watcher — 11 Watcher
Verwendete Eingangsdaten
forks159
stars181
watchers11
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
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja

Nachhaltigkeit & Governance

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

78Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
54/54Bus-Faktor — 9 Beitragende decken die Hälfte aller Commits ab
19.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 14 % der Commits
13.5/13.5Breite der Beitragenden — 83 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor9
contributors_sampled83
top_contributor_share0,143
Wie die Bewertung erfolgt
22.2/46.8Issue-Lösungsquote — 48 % der Issues geschlossen
26/38.3PR-Annahme — 2.256/3.321 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs2.256
open_issues31
closed_issues28
issue_closed_ratio0,475
closed_unmerged_prs1.065
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
18/25Reichweite des Inhabers — 317 Follower von port-labs
22/25Kontohistorie — 129 öffentliche Repos, Kontoalter ca. 4 Jahre
Verwendete Eingangsdaten
followers317
owner_typeOrganization
is_verified
owner_loginport-labs
public_repos129
account_age_days1.645

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 24 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://ocean.getport.io
10/10Repository-Beschreibung
10/10Topics — 8 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsdatasourceintegrations, developerportal, devportal, getportio, integration-framework, portintegration, portio, servicecatalog
has_wikinein
homepagehttps://ocean.getport.io
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

68Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-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 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 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 53 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): 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.

75Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .cursor/rules/core-development.mdc, .cursor/rules/integration-development.mdc, .cursor/rules/python-fast-api.mdc
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files.cursor/rules/core-development.mdc, .cursor/rules/integration-development.mdc, .cursor/rules/python-fast-api.mdc
agent_instruction_max_bytes5.046
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, integrations/_infra/Makefile, integrations/aikido/Makefile, integrations/amplication/Makefile, integrations/argocd/Makefile, integrations/armorcode/Makefile, integrations/aws-v3/Makefile, integrations/aws/Makefile, integrations/azure-devops/Makefile, integrations/azure-resource-graph/Makefile, integrations/azure/Makefile, integrations/backstage/Makefile, integrations/bitbucket-cloud/Makefile, integrations/bitbucket-server/Makefile, integrations/checkmarx-one/Makefile, integrations/claude-managed-agents/Makefile, integrations/claude/Makefile, integrations/cursor/Makefile, integrations/custom/Makefile, integrations/datadog/Makefile, integrations/dynatrace/Makefile, integrations/fake-integration/Makefile, integrations/firehydrant/Makefile, integrations/gcp/Makefile, integrations/github-copilot/Makefile, integrations/github/Makefile, integrations/gitlab-v2/Makefile, integrations/gitlab/Makefile, integrations/jenkins/Makefile, integrations/jira-server/Makefile, integrations/jira/Makefile, integrations/kafka/Makefile, integrations/komodor/Makefile, integrations/kubecost/Makefile, integrations/launchdarkly/Makefile, integrations/linear/Makefile, integrations/mend/Makefile, integrations/newrelic/Makefile, integrations/octopus/Makefile, integrations/okta/Makefile, integrations/opencost/Makefile, integrations/opsgenie/Makefile, integrations/pagerduty/Makefile, integrations/sentry/Makefile, integrations/servicenow/Makefile, integrations/snyk/Makefile, integrations/sonarqube/Makefile, integrations/statuspage/Makefile, integrations/terraform-cloud/Makefile, integrations/wiz/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — docs/framework-guides/tsconfig.json, port_ocean/py.typed
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespackage-lock.json, poetry.lock
has_dockerfileja
typed_languagenein
bootstrap_filesMakefile, integrations/_infra/Makefile, integrations/aikido/Makefile, integrations/amplication/Makefile, integrations/argocd/Makefile, integrations/armorcode/Makefile, integrations/aws-v3/Makefile, integrations/aws/Makefile, integrations/azure-devops/Makefile, integrations/azure-resource-graph/Makefile, integrations/azure/Makefile, integrations/backstage/Makefile, integrations/bitbucket-cloud/Makefile, integrations/bitbucket-server/Makefile, integrations/checkmarx-one/Makefile, integrations/claude-managed-agents/Makefile, integrations/claude/Makefile, integrations/cursor/Makefile, integrations/custom/Makefile, integrations/datadog/Makefile, integrations/dynatrace/Makefile, integrations/fake-integration/Makefile, integrations/firehydrant/Makefile, integrations/gcp/Makefile, integrations/github-copilot/Makefile, integrations/github/Makefile, integrations/gitlab-v2/Makefile, integrations/gitlab/Makefile, integrations/jenkins/Makefile, integrations/jira-server/Makefile, integrations/jira/Makefile, integrations/kafka/Makefile, integrations/komodor/Makefile, integrations/kubecost/Makefile, integrations/launchdarkly/Makefile, integrations/linear/Makefile, integrations/mend/Makefile, integrations/newrelic/Makefile, integrations/octopus/Makefile, integrations/okta/Makefile, integrations/opencost/Makefile, integrations/opsgenie/Makefile, integrations/pagerduty/Makefile, integrations/sentry/Makefile, integrations/servicenow/Makefile, integrations/snyk/Makefile, integrations/sonarqube/Makefile, integrations/statuspage/Makefile, integrations/terraform-cloud/Makefile, integrations/wiz/Makefile
has_devcontainernein
has_linter_configja
typecheck_configsdocs/framework-guides/tsconfig.json, port_ocean/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (docs/framework-guides/tsconfig.json, port_ocean/py.typed)
54.8/55Handhabbare Dateigrößen — 6/2.060 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes218.203
source_files_sampled2.060
oversized_source_files6
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

181GitHub-Sterne
83Mitwirkende
1.058Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
9Bus-Faktor
31offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • pypi package 'port-ocean' points at a different repository (https://github.com/port-labs/Port-Ocean); excluded from ecosystem scoring

Weitere Details

OpenSSF Scorecard 6.8 / 10
6.8Gesamtwert

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 01:15 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-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 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 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities53 existing vulnerabilities detected
Direkte Abhängigkeiten 36
RegistryPaketVersionsvorgabeManifest
PyPIpydantic^2.13.4pyproject.toml
PyPIpython-dotenv^1.2.2pyproject.toml
PyPIloguru^0.7.0pyproject.toml
PyPIpyyaml^6.0pyproject.toml
PyPIwerkzeug>=3.1.6,<4.0.0pyproject.toml
PyPIfilelock^3.20.1pyproject.toml
PyPIvirtualenv^20.36.1pyproject.toml
PyPIfastapi^0.133.0pyproject.toml
PyPIstarlette>=1.0.1,<2.0pyproject.toml
PyPIuvicorn^0.34.3pyproject.toml
PyPIconfluent-kafka^2.10.1pyproject.toml
PyPIhttpx^0.28.1pyproject.toml
PyPIjq^1.8.0pyproject.toml
PyPIurllib3^2.7.0pyproject.toml
PyPIsix^1.16.0pyproject.toml
PyPIpyhumps^3.8.0pyproject.toml
PyPIpydispatcher^2.0.7pyproject.toml
PyPItomli^2.0.1pyproject.toml
PyPIaiostream>=0.5.2,<0.7.0pyproject.toml
PyPIpython-dateutil^2.9.0.post0pyproject.toml
PyPIjinja2>=3.1.6pyproject.toml
PyPIpyjwt^2.12.0pyproject.toml
PyPIprometheus-client^0.21.1pyproject.toml
PyPIpytest-cov>=6,<8pyproject.toml
PyPIijson^3.4.0pyproject.toml
PyPIaiofiles^24.1.0pyproject.toml
PyPIcryptography^46.0.7pyproject.toml
PyPIjmespath^1.0.1pyproject.toml
PyPIpsutil^7.2.1pyproject.toml
PyPIredis^5.2.1pyproject.toml
PyPIclick^8.1.3pyproject.toml
PyPIrich^13.4.1pyproject.toml
PyPIcookiecutter^2.1.1pyproject.toml
PyPIjinja2-time^0.2.0pyproject.toml
PyPIjinja2-strcase^0.0.2pyproject.toml
PyPIjsonref^1.1.0pyproject.toml
JSON-Rohbericht maschinenlesbar
{
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        "datasourceintegrations",
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      "is_fork": false,
      "size_kb": 127776,
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      "homepage": "https://ocean.getport.io",
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        "Ruby": 743,
        "Shell": 25934,
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        "Makefile": 10137
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      "pushed_at": "2026-07-13T15:18:54Z",
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          "monthly_downloads": null,
          "first_published_at": "2023-06-19T13:05:18.730197Z",
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          "latest_version_yanked": null,
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      "bootstrap_files": [
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        "integrations/azure-devops/Makefile",
        "integrations/azure-resource-graph/Makefile",
        "integrations/azure/Makefile",
        "integrations/backstage/Makefile",
        "integrations/bitbucket-cloud/Makefile",
        "integrations/bitbucket-server/Makefile",
        "integrations/checkmarx-one/Makefile",
        "integrations/claude-managed-agents/Makefile",
        "integrations/claude/Makefile",
        "integrations/cursor/Makefile",
        "integrations/custom/Makefile",
        "integrations/datadog/Makefile",
        "integrations/dynatrace/Makefile",
        "integrations/fake-integration/Makefile",
        "integrations/firehydrant/Makefile",
        "integrations/gcp/Makefile",
        "integrations/github-copilot/Makefile",
        "integrations/github/Makefile",
        "integrations/gitlab-v2/Makefile",
        "integrations/gitlab/Makefile",
        "integrations/jenkins/Makefile",
        "integrations/jira-server/Makefile",
        "integrations/jira/Makefile",
        "integrations/kafka/Makefile",
        "integrations/komodor/Makefile",
        "integrations/kubecost/Makefile",
        "integrations/launchdarkly/Makefile",
        "integrations/linear/Makefile",
        "integrations/mend/Makefile",
        "integrations/newrelic/Makefile",
        "integrations/octopus/Makefile",
        "integrations/okta/Makefile",
        "integrations/opencost/Makefile",
        "integrations/opsgenie/Makefile",
        "integrations/pagerduty/Makefile",
        "integrations/sentry/Makefile",
        "integrations/servicenow/Makefile",
        "integrations/snyk/Makefile",
        "integrations/sonarqube/Makefile",
        "integrations/statuspage/Makefile",
        "integrations/terraform-cloud/Makefile",
        "integrations/wiz/Makefile"
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      "api_schema_files": [],
      "has_devcontainer": false,
      "typecheck_configs": [
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        "port_ocean/py.typed"
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      "largest_source_bytes": 218203,
      "source_files_sampled": 2060,
      "oversized_source_files": 6,
      "agent_instruction_files": [
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                "key": "ci_workflows",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "maintained",
                "name": "Maintained",
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                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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            "value": 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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                "status": "met",
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                "key": "machine_readable_docs_llms_txt",
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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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