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Software-GesundheitsberichtSchema 0.14.0 · Metriken 1.13.0 · 2026-07-19 08:04 UTC

Netflix / metaflow-service

:rocket: Metadata tracking and UI service for Metaflow!

PythonApache-2.0★ 225 Sterne⑂ 109 Forksseit Nov. 2019Auf GitHub ansehen ↗

Netflix/metaflow-service erreicht einen Gesundheitsindex von 62 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (81/100) ab, am schwächsten bei Security (20/100). Zuletzt vor 7 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

62
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.

62
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

Netflix, Inc.Organisation
10.066 Follower234 öffentliche Reposseit Juli 2011

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?

70Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 7 Tagen
4.2/36Commit-Rhythmus — 6/52 Wochen mit Commits
9/18Commit-Volumen — 9 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year9
human_commit_share
days_since_last_push7
active_weeks_last_year6
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 48 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 24 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 98,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count48
latest_release_tagv2.5.1
releases_from_tagsnein
days_since_latest_release24
mean_days_between_releases98,6

Community & Verbreitung

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

60Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
38.1/60Stars — 225 Stars
16.9/25Forks — 109 Forks
12.6/15Watcher — 183 Watcher
Verwendete Eingangsdaten
forks109
stars225
watchers183
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

Nachhaltigkeit & Governance

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

67Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
12/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 47 % der Commits
13.5/13.5Breite der Beitragenden — 25 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor2
contributors_sampled25
top_contributor_share0,467
Wie die Bewertung erfolgt
21.3/46.8Issue-Lösungsquote — 46 % der Issues geschlossen
34.5/38.3PR-Annahme — 365/405 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs365
open_issues30
closed_issues25
issue_closed_ratio0,455
closed_unmerged_prs40
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 10.066 Follower von Netflix
25/25Kontohistorie — 234 öffentliche Repos, Kontoalter ca. 15 Jahre
Verwendete Eingangsdaten
followers10.066
owner_typeOrganization
is_verified
owner_loginNetflix
public_repos234
account_age_days5.484

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

81Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — tox.ini
9.6/9.6Pre-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_configja
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — http://www.metaflow.org
10/10Repository-Beschreibung
10/10Topics — 9 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsmachine-learning, ai, ml, ml-infrastructure, data-science, productivity, ml-platform, ui, metaflow
has_wikinein
homepagehttp://www.metaflow.org
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

20Kritisch · 16 % des Gesamtindex

Sicherheitslage

20Kritisch
Wie die Bewertung erfolgt
0/30Sicherheitsrichtlinie (SECURITY.md)
0/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten
20/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfiles
manifestsrequirements.dev.txt, requirements.txt, setup.cfg, setup.py
has_codeql_workflowja
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.

38Gefährdet · 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
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — tox.ini
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — Dockerfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configs
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
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/150 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes45.879
source_files_sampled150
oversized_source_files0

Eckdaten

225GitHub-Sterne
25Mitwirkende
9Commits, letzte 12 Monate
7Tage seit letztem Push
48Releases
2Bus-Faktor
30offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Could not fetch pypi package 'metadata_service' from its registry
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Weitere Details

Alle Abhängigkeiten 19

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 19 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIaiohttpindirekt
PyPIaiohttp-cors0.7.0indirekt
PyPIaiopgindirekt
PyPIazure-identity1.16.1indirekt
PyPIazure-storage-blob12.13.1indirekt
PyPIboto3indirekt
PyPIclick8.0.3indirekt
PyPIgoogle-cloud-storageindirekt
PyPImetaflowindirekt
PyPIpackagingindirekt
PyPIpsycopg2indirekt
PyPIpyee8.0.1indirekt
PyPIpygit21.12.1indirekt
PyPIpylintindirekt
PyPIpytestindirekt
PyPIpytest-aiohttpindirekt
PyPIpytest-covindirekt
PyPIthrottler1.2.0indirekt
PyPItoxindirekt
JSON-Rohbericht maschinenlesbar
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      "updated_at": "2026-07-11T21:32:04Z",
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      "api_schema_files": [],
      "has_devcontainer": false,
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      "note": null,
      "notes": [],
      "value": 62,
      "inputs": {
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      "components": []
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    "categories": [
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        "key": "vitality",
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        "name": "Vitality",
        "value": 70,
        "weight": 0.22,
        "metrics": [
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            "inputs": {
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            },
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                    }
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                ],
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                "points": 9,
                "status": "partial",
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                "max_points": 18
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                    "code": "no_data",
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                  }
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                "max_points": 10
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          },
          {
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            "note": null,
            "notes": [],
            "value": 92,
            "inputs": {
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            },
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                "points": 36,
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                "details": [
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                    }
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                "max_points": 36
              },
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          },
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          },
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              {
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                ],
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                "details": [
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
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          },
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            "components": [
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                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/150 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 150,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "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": [
    "Could not fetch pypi package 'metadata_service' from its registry",
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-19T08:04:37.004277Z",
  "schema_version": "0.14.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/Netflix/metaflow-service.svg",
  "full_name": "Netflix/metaflow-service",
  "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 v0.14.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.