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Software-GesundheitsberichtSchema 0.9.0 · Metriken 1.13.0 · 2026-07-13 19:17 UTC

grafana / scenes

Build Grafana dashboards directly in your Grafana app plugins.

TypeScriptApache-2.0★ 203 Sterne⑂ 54 Forksseit Jan. 2023Auf GitHub ansehen ↗

grafana/scenes erreicht einen Gesundheitsindex von 70 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei Security (25/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

70
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.

70
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

Grafana LabsOrganisation
7.075 Follower586 öffentliche Reposseit Apr. 2014

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

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
34.6/36Commit-Rhythmus — 50/52 Wochen mit Commits
18/18Commit-Volumen — 560 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year560
human_commit_share
days_since_last_push0
active_weeks_last_year50

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 1,5 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tagv8.13.0
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases1,5

Community & Verbreitung

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

64Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
37.4/60Stars — 203 Stars
14.4/25Forks — 54 Forks
11.5/15Watcher — 117 Watcher
Verwendete Eingangsdaten
forks54
stars203
watchers117
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
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

68Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
12.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 45 % der Commits
13.5/13.5Breite der Beitragenden — 80 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor2
contributors_sampled80
top_contributor_share0,454
Wie die Bewertung erfolgt
26.2/46.8Issue-Lösungsquote — 56 % der Issues geschlossen
32.6/38.3PR-Annahme — 1.060/1.244 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs1.060
open_issues123
closed_issues157
issue_closed_ratio0,561
closed_unmerged_prs184
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 7.075 Follower von grafana
25/25Kontohistorie — 586 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers7.075
owner_typeOrganization
is_verified
owner_logingrafana
public_repos586
account_age_days4.481

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

84Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 8 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .eslintrc, eslint.config.js
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_configja
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://grafana.com/developers/scenes
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepagehttps://grafana.com/developers/scenes
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

25Kritisch · 16 % des Gesamtindex

Sicherheitslage

25Kritisch
Wie die Bewertung erfolgt
0/30Sicherheitsrichtlinie (SECURITY.md)
0/25Dependabot-Konfiguration
25/25Lockfiles für Abhängigkeiten — yarn.lock
0/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfilesyarn.lock
manifestspackage.json
has_codeql_workflownein
has_security_policynein
has_dependabot_confignein

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.

74Gut · 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_bytes2.075
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
11/11Lint-/Format-Konfiguration — .eslintrc, eslint.config.js
11/11Statische Typprüfung — docusaurus/website/tsconfig.json, packages/scenes-app/.config/tsconfig.json, packages/scenes-app/cypress/tsconfig.json, packages/scenes-app/tsconfig.json, packages/scenes-react/tsconfig.json, packages/scenes/tsconfig.json, tsconfig.json
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesyarn.lock
has_dockerfileja
typed_languageja
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configsdocusaurus/website/tsconfig.json, packages/scenes-app/.config/tsconfig.json, packages/scenes-app/cypress/tsconfig.json, packages/scenes-app/tsconfig.json, packages/scenes-react/tsconfig.json, packages/scenes/tsconfig.json, tsconfig.json
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
45/45Typprüfbarer Code — TypeScript (statisch typisiert)
54.7/55Handhabbare Dateigrößen — 3/520 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageTypeScript
largest_source_bytes3.007.361
source_files_sampled520
oversized_source_files3
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — demos
Verwendete Eingangsdaten
example_dirsdemos
has_mcp_signalnein
api_schema_files

Eckdaten

203GitHub-Sterne
80Mitwirkende
560Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
2Bus-Faktor
123offene Issues
npmPaket-Ökosysteme

Warnungen zur Datenerhebung

  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Weitere Details

JSON-Rohbericht maschinenlesbar
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          "type": "Bot",
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        "value": 64,
        "weight": 0.18,
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              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "demos",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "demos"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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"
  },
  "warnings": [
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-13T19:17:48.323452Z",
  "schema_version": "0.9.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/grafana/scenes.svg",
  "full_name": "grafana/scenes",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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 v0.9.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.