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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:37 UTC

jupyter-server / jupyter_server

The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.

PythonBSD-3-Clause★ 564 Sterne⑂ 410 Forksseit Sept. 2016Auf GitHub ansehen ↗

jupyter-server/jupyter_server erreicht einen Gesundheitsindex von 81 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (96/100) ab, am schwächsten bei AI Readiness (53/100). Zuletzt vor 1 Tag aktualisiert. 4 Mitwirkende tragen den Großteil der jüngsten Arbeit.

81
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.

81
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

Jupyter ServerOrganisation
131 Follower20 öffentliche Reposseit Sept. 2020

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIjupyter_server2.20.0-159vor 29 Tagenipythonjupyter

Metriken nach Kategorie

Vitalität

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

82Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 1 Tagen
17.3/36Commit-Rhythmus — 25/52 Wochen mit Commits
17.7/18Commit-Volumen — 93 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year93
human_commit_share
days_since_last_push1
active_weeks_last_year25
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 29 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 82 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count100
latest_release_tagv2.20.0
releases_from_tagsnein
days_since_latest_release29
mean_days_between_releases82

Community & Verbreitung

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

80Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
44.6/60Stars — 564 Stars
21.8/25Forks — 410 Forks
8.4/15Watcher — 34 Watcher
Verwendete Eingangsdaten
forks410
stars564
watchers34
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
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?

80Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
43.2/54Bus-Faktor — 4 Beitragende decken die Hälfte aller Commits ab
16.9/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 25 % der Commits
13.5/13.5Breite der Beitragenden — 100 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 161 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor4
contributors_sampled100
top_contributor_share0,249
Wie die Bewertung erfolgt
29.6/46.8Issue-Lösungsquote — 63 % der Issues geschlossen
33.6/38.3PR-Annahme — 968/1.101 entschiedene PRs gemergt
9/15OpenSSF Scorecard: Code-Review — Found 16/24 approved changesets -- score normalized to 6
Verwendete Eingangsdaten
merged_prs968
open_issues193
closed_issues335
issue_closed_ratio0,634
closed_unmerged_prs133
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
15.2/25Reichweite des Inhabers — 131 Follower von jupyter-server
21.3/25Kontohistorie — 20 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers131
owner_typeOrganization
is_verified
owner_loginjupyter-server
public_repos20
account_age_days2.134

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 29 Tagen
20/20Versionshistorie — 159 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesjupyter_server
ecosystemspypi
any_deprecatednein
min_days_since_publish29

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

96Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 6 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — eslint.config.mjs
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 21 out of 21 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

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://jupyter-server.readthedocs.io
10/10Repository-Beschreibung
10/10Topics — 2 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsjupyter, server
has_wikija
homepagehttps://jupyter-server.readthedocs.io
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

63Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 21 out of 21 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
4.5/7.5Code-Review — Found 16/24 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 161 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6,3
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging. 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.

53Mittel · 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 — docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — eslint.config.mjs
11/11Statische Typprüfung — examples/simple/src/tsconfig.json, jupyter_server/py.typed
10/10Reproduzierbare Umgebung — 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
has_dockerfilenein
typed_languagenein
bootstrap_filesdocs/Makefile
has_devcontainernein
has_linter_configja
typecheck_configsexamples/simple/src/tsconfig.json, jupyter_server/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 (examples/simple/src/tsconfig.json, jupyter_server/py.typed)
54.7/55Handhabbare Dateigrößen — 1/202 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes122.721
source_files_sampled202
oversized_source_files1
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

564GitHub-Sterne
100Mitwirkende
93Commits, letzte 12 Monate
1Tage seit letztem Push
100Releases
4Bus-Faktor
193offene Issues
npm, PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 6.3 / 10
6.3Gesamtwert

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 · 2026-07-17 00:37 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests21 out of 21 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 16/24 approved changesets -- score normalized to 6
10Contributorsproject has 161 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direkte Abhängigkeiten 21
RegistryPaketVersionsvorgabeManifest
npmbootstrap^3.4.0package.json
npmcopyfiles^2.4.1package.json
PyPIanyio>=3.1.0pyproject.toml
PyPIargon2-cffi>=21.1pyproject.toml
PyPIjinja2>=3.0.3pyproject.toml
PyPIjupyter_client>=7.4.4pyproject.toml
PyPIjupyter_core>=4.12,!=5.0.*pyproject.toml
PyPIjupyter_server_terminals>=0.4.4pyproject.toml
PyPInbconvert>=6.4.4pyproject.toml
PyPInbformat>=5.3.0pyproject.toml
PyPIpackaging>=22.0pyproject.toml
PyPIprometheus_client>=0.9pyproject.toml
PyPIpywinpty>=2.0.1,!=3.0.4pyproject.toml
PyPIpyzmq>=24pyproject.toml
PyPISend2Trash>=1.8.2pyproject.toml
PyPIterminado>=0.8.3pyproject.toml
PyPItornado>=6.2.0pyproject.toml
PyPItraitlets>=5.6.0pyproject.toml
PyPIwebsocket-client>=1.7pyproject.toml
PyPIjupyter_events>=0.11.0pyproject.toml
PyPIoverrides>=5.0pyproject.toml
Alle Abhängigkeiten 71

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 20 direkte und 51 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
npmbootstrap3.4.1direkt
npmcopyfiles2.4.1direkt
PyPIanyiodirekt
PyPIargon2-cffidirekt
PyPIjinja2direkt
PyPIjupyter-clientdirekt
PyPIjupyter-coredirekt
PyPIjupyter-eventsdirekt
PyPIjupyter-server-terminalsdirekt
PyPInbconvertdirekt
PyPInbformatdirekt
PyPIpackagingdirekt
PyPIprometheus-clientdirekt
PyPIpywinptydirekt
PyPIpyzmqdirekt
PyPIsend2trashdirekt
PyPIterminadodirekt
PyPItornadodirekt
PyPItraitletsdirekt
PyPIwebsocket-clientdirekt
npmansi-regex5.0.1indirekt
npmansi-styles4.3.0indirekt
npmbalanced-match1.0.2indirekt
npmbrace-expansion1.1.13indirekt
npmcliui7.0.4indirekt
npmcolor-convert2.0.1indirekt
npmcolor-name1.1.4indirekt
npmconcat-map0.0.1indirekt
npmcore-util-is1.0.2indirekt
npmemoji-regex8.0.0indirekt
npmescalade3.1.1indirekt
npmfs.realpath1.0.0indirekt
npmget-caller-file2.0.5indirekt
npmglob7.1.7indirekt
npminflight1.0.6indirekt
npminherits2.0.4indirekt
npmis-fullwidth-code-point3.0.0indirekt
npmisarray0.0.1indirekt
npmisarray1.0.0indirekt
npmminimatch3.1.5indirekt
npmmkdirp1.0.4indirekt
npmnoms0.0.0indirekt
npmonce1.4.0indirekt
npmpath-is-absolute1.0.1indirekt
npmprocess-nextick-args2.0.1indirekt
npmreadable-stream1.0.34indirekt
npmreadable-stream2.3.7indirekt
npmrequire-directory2.1.1indirekt
npmsafe-buffer5.1.2indirekt
npmstring-width4.2.2indirekt
npmstring_decoder0.10.31indirekt
npmstring_decoder1.1.1indirekt
npmstrip-ansi6.0.0indirekt
npmthrough22.0.5indirekt
npmtypescript~4.7.3indirekt
npmuntildify4.0.0indirekt
npmutil-deprecate1.0.2indirekt
npmwebpack^5.72.0indirekt
npmwebpack-cli^5.0.0indirekt
npmwrap-ansi7.0.0indirekt
npmwrappy1.0.2indirekt
npmxtend4.0.2indirekt
npmy18n5.0.8indirekt
npmyargs16.2.0indirekt
npmyargs-parser20.2.9indirekt
PyPIhatchlingindirekt
PyPIjupyter-serverindirekt
PyPIpytestindirekt
PyPIpytest-jupyterindirekt
PyPIsphinxindirekt
PyPIsphinxcontrib-openapiindirekt
JSON-Rohbericht maschinenlesbar
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          "first_published_at": "2018-07-28T21:41:02.501704Z",
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      "largest_source_bytes": 122721,
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      "agent_instruction_files": [],
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      "dependencies": [
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                "key": "openssf_scorecard_contributors",
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                "key": "pr_acceptance",
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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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        ],
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                "key": "code_review",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
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                "key": "maintained",
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                "key": "pinned_dependencies",
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                "key": "sast",
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              {
                "key": "security_policy",
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              {
                "key": "signed_releases",
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              {
                "key": "token_permissions",
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                "points": 0,
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              {
                "key": "vulnerabilities",
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                "points": 6,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
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                "status": "missed",
                "details": [],
                "max_points": 15
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                    "params": {}
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                "max_points": 40
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            "key": "ai_verify_loop",
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                "code": "excluded_no_data",
                "params": {
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                "points": 10,
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              {
                "key": "demonstrated_agent_practice",
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
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                "max_points": 10
              }
            ]
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            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
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            "notes": [],
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            "inputs": {
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                ],
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            },
            "components": [
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                "points": 0,
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              },
              {
                "key": "mcp_server",
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                "points": 0,
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              },
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                "key": "runnable_examples",
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                "status": "met",
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        ],
        "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."
      }
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    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T00:37:29.894911Z",
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  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/jupyter-server/jupyter_server.svg",
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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 v0.11.0 — vollständige Methodik · Metriken-Wiki.

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