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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 01:54 UTC

vitessce / vitessce-python

Python API and Jupyter widget for Vitessce

PythonMIT★ 67 Sterne⑂ 12 Forksseit Sept. 2020Auf GitHub ansehen ↗

vitessce/vitessce-python erreicht einen Gesundheitsindex von 57 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (77/100) ab, am schwächsten bei AI Readiness (46/100). Zuletzt vor 45 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

57
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.

57
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

VitessceOrganisation
33 Follower12 öffentliche Reposseit Apr. 2020

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIvitessce3.9.2-95vor 52 Tagenipythonjupyterwidgets

Metriken nach Kategorie

Vitalität

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

47Gefährdet · 22 % des Gesamtindex
Wie die Bewertung erfolgt
18/36Push-Aktualität — letzter Push vor 45 Tagen
11.8/36Commit-Rhythmus — 17/52 Wochen mit Commits
12.9/18Commit-Volumen — 26 Commits im letzten Jahr
6/10OpenSSF Scorecard: Maintained — 6 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 6
Verwendete Eingangsdaten
commits_last_year26
human_commit_share1
days_since_last_push45
active_weeks_last_year17

Release-Disziplin

44Gefährdet
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 1 Releases veröffentlicht
0/36Release-Aktualität — letztes Release vor 792 Tagen
12.6/27Release-Rhythmus — Rhythmus unbekannt (nur ein Release)
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count1
latest_release_tagv3.2.6
releases_from_tagsnein
days_since_latest_release792
mean_days_between_releases
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?

46Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
29.5/60Stars — 67 Stars
8.7/25Forks — 12 Forks
3.3/15Watcher — 5 Watcher
Verwendete Eingangsdaten
forks12
stars67
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
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?

62Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
4.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 79 % der Commits
13.5/13.5Breite der Beitragenden — 10 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled10
top_contributor_share0,786
Wie die Bewertung erfolgt
23.6/46.8Issue-Lösungsquote — 50 % der Issues geschlossen
35.2/38.3PR-Annahme — 241/262 entschiedene PRs gemergt
3/15OpenSSF Scorecard: Code-Review — Found 6/30 approved changesets -- score normalized to 2
Verwendete Eingangsdaten
merged_prs241
open_issues109
closed_issues111
issue_closed_ratio0,505
closed_unmerged_prs21
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
11/25Reichweite des Inhabers — 33 Follower von vitessce
20.1/25Kontohistorie — 12 öffentliche Repos, Kontoalter ca. 6 Jahre
Verwendete Eingangsdaten
followers33
owner_typeOrganization
is_verified
owner_loginvitessce
public_repos12
account_age_days2.279

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 52 Tagen
20/20Versionshistorie — 95 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesvitessce
ecosystemspypi
any_deprecatednein
min_days_since_publish52

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

77Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 6 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-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_confignein
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://python-docs.vitessce.io
10/10Repository-Beschreibung
10/10Topics — 8 Topics
0/10Wiki
Verwendete Eingangsdaten
topicssingle-cell, kharchenkolab, data-visualization, vitessce, ipywidget, jupyter-widget, jupyterlab-extension, hidivelab
has_wikinein
homepagehttps://python-docs.vitessce.io
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

52Mittel · 16 % des Gesamtindex

Sicherheitslage

40Gefährdet
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
1.5/7.5Code-Review — Found 6/30 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 12 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
4.5/7.5Maintained — 6 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 6
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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 — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 170 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, 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_packages18
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:vitessce@3.9.2 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 18 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.

46Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 99 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,99
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — devcontainer, lockfile
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespnpm-lock.yaml, uv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile
has_devcontainerja
has_linter_confignein
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
53.2/55Handhabbare Dateigrößen — 2/61 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes83.101
source_files_sampled61
oversized_source_files2
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — demos, notebooks
Verwendete Eingangsdaten
example_dirsdemos, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

67GitHub-Sterne
10Mitwirkende
26Commits, letzte 12 Monate
45Tage seit letztem Push
1Releases
1Bus-Faktor
109offene Issues
npm, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 12 ⇿
0Sterne
12Forks
1Releases

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.

0246810121212021-012023-082026-02
Major 0Minor 0Patch 1

Jeder Punkt umfasst 5 Tage.

OpenSSF Scorecard 4.0 / 10
4.0Gesamtwert

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 · 2026-07-26 01:53 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
2Code-ReviewFound 6/30 approved changesets -- score normalized to 2
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
6Maintained6 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 6
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities170 existing vulnerabilities detected
Direkte Abhängigkeiten 5
RegistryPaketVersionsvorgabeManifest
PyPIscipy>=1.2.1pyproject.toml
PyPIpandas>=1.1.2pyproject.toml
PyPIblack>=21.11b1pyproject.toml
PyPInumpy>=1.21.2pyproject.toml
PyPIzarr>=3.0.0pyproject.toml
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Abhängigkeits-Advisories 0

Die Installation von pypi:vitessce@3.9.2 zieht 18 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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  "data": {
    "repo": {
      "topics": [
        "single-cell",
        "kharchenkolab",
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      "size_kb": 42076,
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      "languages": {
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        "Makefile": 640,
        "JavaScript": 3069
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      "pushed_at": "2026-06-10T20:06:08Z",
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      "owner_type": "Organization",
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    "license": {
      "state": "standard",
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          "oid": "7e7bcee1e090e2e3a4833df542ceff2373ed8a7a",
          "body": null,
          "is_bot": false,
          "headline": "Update README.md (#507)",
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          "oid": "ff02d80d5ad8542709a6fbc78927c4587b716da7",
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          "is_bot": false,
          "headline": "Convert async custom message handlers to sync (#506)",
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          "body_truncated": false,
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          "oid": "d1bf74e1ae84a80d0072f1dd0e86c74d201bf77e",
          "body": null,
          "is_bot": false,
          "headline": "Upgrade js version (#505)",
          "author_name": "Mark Keller",
          "author_login": "keller-mark",
          "committed_at": "2026-05-29T17:55:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "46bee69ec781d126a35465eeb3fa817489bb3807",
          "body": "Co-authored-by: Mark Keller <7525285+keller-mark@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add is_zip handling to multivec wrapper (#503)",
          "author_name": "Nikolay Akhmetov",
          "author_login": "NickAkhmetov",
          "committed_at": "2026-05-29T17:49:15Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "624db76f9b68bb78b8c454406c15f43d9ab61375",
          "body": "* use zarr3 and unpin dask\n\n* relax ome-zarr upped bound\n\n* allow-direct-references hatch\n\n* set tool.hatch.metadata.allow-direct-references false\n\n* WIP: support for zarr v3\n\n* WIP: fix tests\n\n* Remove storage of explicit bounding_box metadata\n\n* Lint\n\n* Pin snakemake\n\n* Lint\n\n* F-string issue\n\n* Undo pin snakemake\n\n* Update xenium morton code nb\n\n* Updates\n\n---------\n\nCo-authored-by: Mark Keller <7525285+keller-mark@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Use zarr3 and unpin dask (#486)",
          "author_name": "LucaMarconato",
          "author_login": "LucaMarconato",
          "committed_at": "2026-05-27T20:11:32Z",
          "body_truncated": false,
          "is_coding_agent": false
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        {
          "oid": "ef0ecf5595b6b03bd43435dd8a889895de1302ce",
          "body": null,
          "is_bot": false,
          "headline": "Bump js package version (#504)",
          "author_name": "Mark Keller",
          "author_login": "keller-mark",
          "committed_at": "2026-05-21T15:48:43Z",
          "body_truncated": false,
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          "oid": "9f31d6ec1a8c4f11baf73efa71bab28ba474e23f",
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          "headline": "Update (#500)",
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        },
        {
          "oid": "342be73e062ba0d647f032aada839bb4bec80ae0",
          "body": null,
          "is_bot": false,
          "headline": "Release new version (#498)",
          "author_name": "Mark Keller",
          "author_login": "keller-mark",
          "committed_at": "2026-04-17T15:16:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e7a01754f55398b64c7c95982c6a58330f168cef",
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          "is_bot": false,
          "headline": "Update of SpatialQuery module in Vitessce (#495)",
          "author_name": "Shaokun An",
          "author_login": null,
          "committed_at": "2026-04-17T14:43:06Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "9faf440114af804de82f6f7219d16f24a86d3e46",
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          "is_bot": false,
          "headline": "Version bump v3.9.4 (#492)",
          "author_name": "Mark Keller",
          "author_login": "keller-mark",
          "committed_at": "2026-02-12T13:37:51Z",
          "body_truncated": false,
          "is_coding_agent": false
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                "key": "verified_domain",
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                "key": "owner_reach",
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                "key": "track_record",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "name": "Maintained",
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                "points": 4.5,
                "status": "partial",
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                "name": "Packaging",
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                "key": "signed_releases",
                "name": "Signed-Releases",
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                ],
                "max_points": 7.5
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                "key": "token_permissions",
                "name": "Token-Permissions",
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                "points": 0,
                "status": "missed",
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                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "170 existing vulnerabilities detected",
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            ]
          },
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            "notes": [
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                "code": "excluded_no_data",
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              {
                "code": "weights_renormalized",
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              {
                "code": "advisories_scope_published",
                "params": {
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              },
              {
                "code": "advisories_reachability",
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            "value": 100,
            "inputs": {
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              "affected_by_severity": "none",
              "direct_affected_packages": 0
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            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
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                "max_points": 35
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    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
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  "report_type": "repository",
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.

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