Öffentliches RegisterGefährdet
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-25 18:59 UTC
mwakaba2 / jupyter_server
The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
mwakaba2/jupyter_server erreicht einen Gesundheitsindex von 38 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Engineering Quality (68/100) ab, am schwächsten bei Community & Adoption (9/100). Zuletzt vor 1722 Tagen aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
38
gesamt / 100Software-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.
38
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)
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
Mariko WakabayashiPersönliches Konto
73 Follower89 öffentliche Reposseit Feb. 2013Microsoft
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | jupyter_serververweist auf ein anderes Repo — nicht bewertet | 2.20.0 | 53.344.263 | 159 | vor 38 Tagen | ipythonjupyter |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
20
Entwicklungsaktivität
1Kritisch
Wie die Bewertung erfolgt
| 0/36 | Push-Aktualität — letzter Push vor 1.722 Tagen |
| 0/36 | Commit-Rhythmus — 0/52 Wochen mit Commits |
| 0/18 | Commit-Volumen — 0 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Verwendete Eingangsdaten
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 1.722 |
| active_weeks_last_year | 0 |
Release-Disziplin
48Gefährdet
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 17 Versions-Tags (keine GitHub-Releases) |
| 0/36 | Release-Aktualität — letztes Release vor 2.109 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 33,4 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 17 |
| latest_release_tag | 1.0.5 |
| releases_from_tags | ja |
| days_since_latest_release | 2.109 |
| mean_days_between_releases | 33,4 |
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?
9
Popularität & Verbreitung
1Kritisch
Wie die Bewertung erfolgt
| 0/60 | Stars — 0 Stars |
| 0/25 | Forks — 0 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 0 |
| stars | 0 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
19Kritisch
Wie die Bewertung erfolgt
| 0/22.5 | README |
| 16.9/22.5 | Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | nein |
| has_license | nein |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
48
Wie die Bewertung erfolgt
| 36/54 | Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab |
| 16.7/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 26 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 160 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 3 |
| contributors_sampled | 100 |
| top_contributor_share | 0,256 |
Reaktionsfähigkeit bei Issues & PRs
1Kritisch
Wie die Bewertung erfolgt
| 0/46.8 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 0/38.3 | PR-Annahme — keine entschiedenen Pull Requests oder keine Daten |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, PR-Annahme. Die verbleibenden Gewichte wurden renormalisiert.
Eigentümerschaft & Trägerschaft
60Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 13.4/25 | Reichweite des Inhabers — 73 Follower von mwakaba2 |
| 25/25 | Kontohistorie — 89 öffentliche Repos, Kontoalter ca. 13 Jahre |
Verwendete Eingangsdaten
| followers | 73 |
| owner_type | User |
| is_verified | — |
| owner_login | mwakaba2 |
| public_repos | 89 |
| account_age_days | 4.916 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
68
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 4 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .eslintrc.json |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
50Mittel
Wie die Bewertung erfolgt
| 0/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://jupyter-server.readthedocs.io |
| 0/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://jupyter-server.readthedocs.io |
| has_readme | nein |
| has_docs_dir | ja |
| has_description | nein |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
44
Sicherheitslage
30Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — keine Daten |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 160 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | Lizenz — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool detected: CodeQL |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 22 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 57 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:jupyter_server@2.20.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 57 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.
53
AI-Agentenkontext & Leitlinien
21Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 21.3/40 | Lesbare Commit-Historie — 40 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,4 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .eslintrc.json |
| 11/11 | Statische Typprüfung — examples/simple/src/tsconfig.json |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | package-lock.json |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | examples/simple/src/tsconfig.json |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (examples/simple/src/tsconfig.json) |
| 54.7/55 | Handhabbare Dateigrößen — 1/159 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 85.672 |
| source_files_sampled | 159 |
| oversized_source_files | 1 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
0GitHub-Sterne
100Mitwirkende
0Commits, letzte 12 Monate
1.722Tage seit letztem Push
17Releases
3Bus-Faktor
0offene Issues
npm, PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Community profile unavailable
- pypi package 'jupyter_server' points at a different repository (https://github.com/jupyter-server/jupyter_server); excluded from ecosystem scoring
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Weitere Details
OpenSSF Scorecard 3.0 / 10
3.0Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| k. A. | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 160 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool detected: CodeQL |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 22 existing vulnerabilities detected |
Direkte Abhängigkeiten 18
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| npm | bootstrap | ^3.4.0 | package.json |
| npm | copyfiles | ^2.4.1 | package.json |
| PyPI | jinja2 | — | setup.cfg |
| PyPI | tornado | >=6.1.0 | setup.cfg |
| PyPI | pyzmq | >=17 | setup.cfg |
| PyPI | argon2-cffi | — | setup.cfg |
| PyPI | ipython_genutils | — | setup.cfg |
| PyPI | traitlets | >=4.2.1 | setup.cfg |
| PyPI | jupyter_core | >=4.4.0 | setup.cfg |
| PyPI | jupyter_client | >=6.1.1 | setup.cfg |
| PyPI | jupyter_packaging | ~=0.9 | setup.cfg |
| PyPI | nbformat | — | setup.cfg |
| PyPI | nbconvert | — | setup.cfg |
| PyPI | Send2Trash | — | setup.cfg |
| PyPI | terminado | >=0.8.3 | setup.cfg |
| PyPI | prometheus_client | — | setup.cfg |
| PyPI | pywin32 | >=1.0 | setup.cfg |
| PyPI | anyio | >=2.0.2,<3 | setup.cfg |
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:jupyter_server@2.20.0 zieht 57 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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"published_at": "2019-07-16T15:23:56Z"
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"published_at": "2019-05-16T10:40:07Z"
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"login": "jasongrout",
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],
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"python-linux.yml",
"python-macos.yml",
"python-windows.yml"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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{
"name": "CII-Best-Practices",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
},
{
"name": "Contributors",
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"reason": "project has 160 contributing companies or organizations",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
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{
"name": "Dangerous-Workflow",
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"reason": "no dangerous workflow patterns detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
},
{
"name": "Dependency-Update-Tool",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
},
{
"name": "Fuzzing",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
},
{
"name": "License",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
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{
"name": "Packaging",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
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{
"name": "Pinned-Dependencies",
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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{
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#token-permissions"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#vulnerabilities"
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"metrics": {
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"notes": [],
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"inputs": {
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"components": []
},
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"metrics": [
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"notes": [],
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{
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"status": "missed",
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{
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{
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{
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"note": null,
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{
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"points": 0,
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{
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"key": "pr_template",
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}
],
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{
"key": "governance",
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{
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"code": "top_contributor_share",
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}
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{
"key": "contributor_breadth",
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{
"key": "openssf_scorecard_contributors",
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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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},
{
"key": "stewardship",
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"inputs": {
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
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]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "at_risk",
"name": "Security",
"value": 44,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
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"notes": [
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{
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{
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"points": 7.5,
"status": "met",
"details": [],
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},
{
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"points": 0,
"status": "missed",
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{
"key": "ci_tests",
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"status": "excluded",
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"code": "no_data",
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"max_points": 2.5
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{
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"points": 0,
"status": "missed",
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{
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"points": 0,
"status": "missed",
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"max_points": 7.5
},
{
"key": "contributors",
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"points": 2.5,
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},
{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
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"detail": "license file detected",
"points": 2.2,
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{
"key": "maintained",
"name": "Maintained",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"status": "excluded",
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"code": "no_data",
"params": {}
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{
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{
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{
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"params": {}
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{
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},
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"code": "jurisdiction_no_match",
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}
],
"max_points": 100
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],
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"params": {}
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{
"key": "machine_readable_docs_llms_txt",
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{
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"details": [
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"max_points": 18
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{
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{
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"max_points": 11
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{
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{
"code": "file_list",
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"max_points": 11
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{
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"code": "file_list",
"params": {
"files": "lockfile"
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"max_points": 10
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{
"key": "demonstrated_agent_practice",
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"status": "missed",
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{
"code": "no_agent_authored_commits",
"params": {
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"max_points": 10
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{
"key": "automated_maintenance",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
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"max_points": 8
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{
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"status": "missed",
"details": [],
"max_points": 10
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{
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"largest_source_bytes": 85672,
"source_files_sampled": 159,
"oversized_source_files": 1
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"components": [
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"details": [
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"code": "typecheck_config_language",
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"language": "Python"
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"max_points": 45
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{
"key": "manageable_file_sizes",
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"points": 54.7,
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"code": "oversized_source_files",
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{
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"points": 0,
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{
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"code": "file_list",
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"files": "examples"
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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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},
"warnings": [
"Community profile unavailable",
"pypi package 'jupyter_server' points at a different repository (https://github.com/jupyter-server/jupyter_server); excluded from ecosystem scoring",
"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
],
"report_type": "repository",
"generated_at": "2026-07-25T18:59:33.892723Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mwakaba2/jupyter_server.svg",
"full_name": "mwakaba2/jupyter_server",
"license_state": "custom",
"license_spdx": null
}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 v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.