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Software-GesundheitsberichtSchema 0.16.0 · Metriken 1.13.0 · 2026-07-21 02:58 UTC

giantswarm / pytest-helm-charts

Pytest plugin to make testing of helm charts easier

PythonApache-2.0★ 3 Sterne⑂ 7 Forksseit Juni 2020Auf GitHub ansehen ↗

giantswarm/pytest-helm-charts erreicht einen Gesundheitsindex von 69 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (85/100) ab, am schwächsten bei Community & Adoption (40/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

69
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.

69
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

Giant SwarmOrganisation
143 Follower1.160 öffentliche Reposseit Mai 2014

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIpytest-helm-charts1.3.46.72733vor 209 Tagencharthelmkubernetes

Metriken nach Kategorie

Vitalität

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

85Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
25.6/36Commit-Rhythmus — 37/52 Wochen mit Commits
17.3/18Commit-Volumen — 83 Commits im letzten Jahr
7/10OpenSSF Scorecard: Maintained — 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
Verwendete Eingangsdaten
commits_last_year83
human_commit_share
days_since_last_push0
active_weeks_last_year37
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 7 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 59 Tagen
12.6/27Release-Rhythmus — ein Release etwa alle 163,7 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count7
latest_release_tagv1.3.5
releases_from_tagsnein
days_since_latest_release59
mean_days_between_releases163,7
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?

40Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
4.9/60Stars — 3 Stars
6.5/25Forks — 7 Forks
4.3/15Watcher — 7 Watcher
Verwendete Eingangsdaten
forks7
stars3
watchers7
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)
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
Wie die Bewertung erfolgt
51/80Downloads pro Monat — 6.727 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagespytest-helm-charts
dependents
ecosystemspypi
total_downloads
monthly_downloads6.727
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?

71Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
10.1/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 55 % der Commits
13.5/13.5Breite der Beitragenden — 15 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Verwendete Eingangsdaten
bus_factor1
contributors_sampled15
top_contributor_share0,552
Wie die Bewertung erfolgt
36.4/46.8Issue-Lösungsquote — 78 % der Issues geschlossen
36.3/38.3PR-Annahme — 453/477 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs453
open_issues2
closed_issues7
issue_closed_ratio0,778
closed_unmerged_prs24
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
15.5/25Reichweite des Inhabers — 143 Follower von giantswarm
25/25Kontohistorie — 1.160 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers143
owner_typeOrganization
is_verified
owner_logingiantswarm
public_repos1.160
account_age_days4.452

Paketpflege

91Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
26/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 209 Tagen
20/20Versionshistorie — 33 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespytest-helm-charts
ecosystemspypi
any_deprecatednein
min_days_since_publish209

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

82Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 7 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .flake8
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
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
0/10Wiki
Verwendete Eingangsdaten
topics
has_wikinein
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

61Mittel · 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 — 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 3 contributing companies or organizations -- score normalized to 10
0/10Dangerous-Workflow — 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
5.2/7.5Maintained — 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
0/5Packaging — keine Daten
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5,9
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
16/35Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: pytest 8.4.2 (moderate 6.8)
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
34.2/40Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 179 Tagen veröffentlicht
Verwendete Eingangsdaten
sourceosv
advisories2
affected_packages1
assessed_packages14
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages1
Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:pytest-helm-charts@1.3.4 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 14 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.

59Mittel · 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 — Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .flake8
11/11Statische Typprüfung — .mypy.ini
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile
has_devcontainernein
has_linter_configja
typecheck_configs.mypy.ini
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)
55/55Handhabbare Dateigrößen — 0/42 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes11.937
source_files_sampled42
oversized_source_files0
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

3GitHub-Sterne
15Mitwirkende
83Commits, letzte 12 Monate
0Tage seit letztem Push
7Releases
1Bus-Faktor
2offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 5.9 / 10
5.9Gesamtwert

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 · 2026-07-21 02:57 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-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 3 contributing companies or organizations -- score normalized to 10
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
7Maintained8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
k. A.Packagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Direkte Abhängigkeiten 3
RegistryPaketVersionsvorgabeManifest
PyPIpytest>=9.0.2,<10pyproject.toml
PyPIpykube-ng>=23.6,<24pyproject.toml
PyPIDeprecated>=1.2.13,<2pyproject.toml
Alle Abhängigkeiten 50

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 3 direkte und 47 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIdeprecated1.3.1direkt
PyPIpykube-ng23.6.0direkt
PyPIpytest9.0.3direkt
PyPIcachetools6.2.4indirekt
PyPIcertifi2025.11.12indirekt
PyPIcfgv3.5.0indirekt
PyPIchardet5.2.0indirekt
PyPIcharset-normalizer3.4.4indirekt
PyPIclick8.3.1indirekt
PyPIcolorama0.4.6indirekt
PyPIcoverage7.13.0indirekt
PyPIdistlib0.4.0indirekt
PyPIexceptiongroup1.3.1indirekt
PyPIfilelock3.20.3indirekt
PyPIghp-import2.1.0indirekt
PyPIidentify2.6.15indirekt
PyPIidna3.11indirekt
PyPIiniconfig2.3.0indirekt
PyPIjinja23.1.6indirekt
PyPIlibrt0.7.4indirekt
PyPImarkdown3.10indirekt
PyPImarkupsafe3.0.3indirekt
PyPImergedeep1.3.4indirekt
PyPImkapi1.0.14indirekt
PyPImkdocs1.6.1indirekt
PyPImkdocs-get-deps0.2.0indirekt
PyPImypy1.19.1indirekt
PyPImypy-extensions1.1.0indirekt
PyPInodeenv1.10.0indirekt
PyPIpackaging25.0indirekt
PyPIpathspec0.12.1indirekt
PyPIplatformdirs4.5.1indirekt
PyPIpluggy1.6.0indirekt
PyPIpre-commit4.5.1indirekt
PyPIpygments2.20.0indirekt
PyPIpyproject-api1.10.0indirekt
PyPIpytest-cov7.0.0indirekt
PyPIpytest-mock3.15.1indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpyyaml6.0.3indirekt
PyPIpyyaml-env-tag1.1indirekt
PyPIrequests2.33.0indirekt
PyPIsix1.17.0indirekt
PyPItomli2.3.0indirekt
PyPItox4.32.0indirekt
PyPItyping-extensions4.15.0indirekt
PyPIurllib32.6.3indirekt
PyPIvirtualenv20.36.1indirekt
PyPIwatchdog6.0.0indirekt
PyPIwrapt2.0.1indirekt
Abhängigkeits-Advisories 1

Die Installation von pypi:pytest-helm-charts@1.3.4 zieht 14 Pakete nach sich, direkt und transitiv: 1 tragen bekannte Advisories, davon 1 direkte Abhängigkeiten.

PaketVersionBeziehungSchweregradAdvisoriesBehoben in
pytest8.4.2direktmittel29.0.3

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
{
  "data": {
    "repo": {
      "topics": [],
      "is_fork": false,
      "size_kb": 1294,
      "has_wiki": false,
      "homepage": null,
      "languages": {
        "Python": 129514,
        "Makefile": 1192
      },
      "pushed_at": "2026-07-21T02:50:08Z",
      "created_at": "2020-06-10T13:06:56Z",
      "owner_type": "Organization",
      "updated_at": "2026-06-30T12:53:28Z",
      "description": "Pytest plugin to make testing of helm charts easier",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "Apache-2.0",
      "default_branch": "main",
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      "primary_language": "Python",
      "significant_languages": [
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      "blog": "https://www.giantswarm.io/",
      "name": "Giant Swarm",
      "type": "Organization",
      "login": "giantswarm",
      "company": null,
      "location": "Germany",
      "followers": 143,
      "avatar_url": "https://avatars.githubusercontent.com/u/7556340?v=4",
      "created_at": "2014-05-12T10:05:54Z",
      "is_verified": null,
      "public_repos": 1160,
      "account_age_days": 4452
    },
    "license": {
      "state": "standard",
      "spdx_id": "Apache-2.0",
      "raw_spdx": "Apache-2.0",
      "file_present": true,
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    },
    "activity": {
      "releases_count": 7,
      "commits_last_year": 83,
      "latest_release_at": "2026-05-22T08:48:42Z",
      "latest_release_tag": "v1.3.5",
      "releases_from_tags": false,
      "days_since_last_push": 0,
      "active_weeks_last_year": 37,
      "days_since_latest_release": 59,
      "mean_days_between_releases": 163.7
    },
    "community": {
      "has_readme": true,
      "has_license": true,
      "has_description": true,
      "has_contributing": false,
      "health_percentage": 50,
      "has_issue_template": false,
      "has_code_of_conduct": false,
      "has_pull_request_template": false
    },
    "ecosystem": {
      "packages": [
        {
          "name": "pytest-helm-charts",
          "exists": true,
          "license": "Apache-2.0",
          "keywords": [
            "chart",
            "helm",
            "kubernetes",
            "Development Status :: 4 - Beta",
            "Framework :: Pytest",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.10",
            "Programming Language :: Python :: 3.11",
            "Programming Language :: Python :: 3.12",
            "Programming Language :: Python :: 3.13",
            "Programming Language :: Python :: 3.14",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Software Development :: Testing"
          ],
          "ecosystem": "pypi",
          "matches_repo": true,
          "registry_url": "https://pypi.org/project/pytest-helm-charts/",
          "is_deprecated": false,
          "latest_version": "1.3.4",
          "repository_url": "https://github.com/giantswarm/pytest-helm-charts",
          "versions_count": 33,
          "total_downloads": null,
          "dependents_count": null,
          "deprecation_note": null,
          "maintainers_count": null,
          "monthly_downloads": 6727,
          "first_published_at": "2020-07-06T08:13:27.131058Z",
          "latest_published_at": "2025-12-23T12:20:37.213483Z",
          "latest_version_yanked": null,
          "days_since_latest_publish": 209
        }
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    "popularity": {
      "forks": 7,
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      "open_issues_and_prs": 11
    },
    "ai_readiness": {
      "has_nix": false,
      "example_dirs": [
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      ],
      "has_llms_txt": false,
      "has_dockerfile": false,
      "has_mcp_signal": false,
      "bootstrap_files": [
        "Makefile"
      ],
      "api_schema_files": [],
      "has_devcontainer": false,
      "typecheck_configs": [
        ".mypy.ini"
      ],
      "largest_source_bytes": 11937,
      "source_files_sampled": 42,
      "oversized_source_files": 0,
      "agent_instruction_files": [],
      "agent_instruction_max_bytes": null
    },
    "dependencies": {
      "manifests": [
        "docs/pyproject.toml",
        "pyproject.toml"
      ],
      "advisories": {
        "error": null,
        "scope": "published_package",
        "source": "osv",
        "findings": [
          {
            "name": "pytest",
            "direct": true,
            "version": "8.4.2",
            "severity": "moderate",
            "ecosystem": "pypi",
            "cvss_score": 6.8,
            "advisory_ids": [
              "GHSA-6w46-j5rx-g56g",
              "PYSEC-2026-1845"
            ],
            "fixed_version": "9.0.3",
            "advisory_count": 2,
            "oldest_advisory_days": 179
          }
        ],
        "collected": true,
        "truncated": false,
        "by_severity": {
          "moderate": 1
        },
        "advisory_count": 2,
        "affected_count": 1,
        "assessed_count": 14,
        "assessed_package": "pypi:pytest-helm-charts@1.3.4",
        "unassessed_count": 0,
        "direct_affected_count": 1
      },
      "ecosystems": [
        "pypi"
      ],
      "dependencies": [
        {
          "name": "pytest",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=9.0.2,<10"
        },
        {
          "name": "pykube-ng",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=23.6,<24"
        },
        {
          "name": "Deprecated",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=1.2.13,<2"
        }
      ],
      "all_dependencies": {
        "error": null,
        "source": "github-sbom",
        "packages": [
          {
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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 v0.16.0 — vollständige Methodik · Metriken-Wiki.

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