Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.16.0 · Metriken 1.13.0 · 2026-07-21 02:36 UTC
couchbase / couchbase-python-client
Couchbase Python Client Library (Official)
couchbase/couchbase-python-client erreicht einen Gesundheitsindex von 70 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (82/100) ab, am schwächsten bei AI Readiness (44/100). Zuletzt vor 5 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
70
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.
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)
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
Couchbase, Inc.Organisation
420 Follower259 öffentliche Reposseit Feb. 2011
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | couchbase | 4.6.2 | - | 165 | vor 32 Tagen | couchbasenosqlpycouchbaselibcouchbase |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
82
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 5 Tagen |
| 21.5/36 | Commit-Rhythmus — 31/52 Wochen mit Commits |
| 16.4/18 | Commit-Volumen — 66 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 66 |
| human_commit_share | — |
| days_since_last_push | 5 |
| active_weeks_last_year | 31 |
Release-Disziplin
80Gut
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 97 Versions-Tags (keine GitHub-Releases) |
| 36/36 | Release-Aktualität — letztes Release vor 33 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 67 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 97 |
| latest_release_tag | 4.6.2 |
| releases_from_tags | ja |
| days_since_latest_release | 33 |
| mean_days_between_releases | 67 |
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?
67
Popularität & Verbreitung
64Mittel
Wie die Bewertung erfolgt
| 38.8/60 | Stars — 248 Stars |
| 17.1/25 | Forks — 113 Forks |
| 8/15 | Watcher — 29 Watcher |
Verwendete Eingangsdaten
| forks | 113 |
| stars | 248 |
| watchers | 29 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| 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?
71
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 12.4/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 45 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 27 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 27 |
| top_contributor_share | 0,447 |
Wie die Bewertung erfolgt
| 40.5/46.8 | Issue-Lösungsquote — 87 % der Issues geschlossen |
| 0/38.3 | PR-Annahme — 0/52 entschiedene PRs gemergt |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Verwendete Eingangsdaten
| merged_prs | 0 |
| open_issues | 2 |
| closed_issues | 13 |
| issue_closed_ratio | 0,867 |
| closed_unmerged_prs | 52 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 18.9/25 | Reichweite des Inhabers — 420 Follower von couchbase |
| 25/25 | Kontohistorie — 259 öffentliche Repos, Kontoalter ca. 15 Jahre |
Verwendete Eingangsdaten
| followers | 420 |
| owner_type | Organization |
| is_verified | — |
| owner_login | couchbase |
| public_repos | 259 |
| account_age_days | 5.642 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 32 Tagen |
| 20/20 | Versionshistorie — 165 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | couchbase |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 32 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
69
Engineering-Praktiken
62Mittel
Wie die Bewertung erfolgt
| 0/24 | CI-Workflows |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .flake8 |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | nein |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
80Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://www.couchbase.com/ |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | nein |
| homepage | https://www.couchbase.com/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
58
Sicherheitslage
48Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 0/2.5 | CI-Tests — keine Daten |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 13 contributing companies or organizations |
| 0/10 | Dangerous-Workflow — keine Daten |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — keine Daten |
| 3.8/7.5 | Vulnerabilities — 5 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 12 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 6 |
| scorecard_aggregate | 4,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, ci_tests, dangerous_workflow, packaging, signed_releases, token_permissions. 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 |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 1 |
| affected_packages | 1 |
| assessed_packages | 3 |
| unassessed_packages | 16 |
| affected_by_severity | high 1 |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 3 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 16 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. 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.
44
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| 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
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .flake8 |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 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 | — |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| 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.
AI-Code-Lesbarkeit für Modelle
54Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 53.7/55 | Handhabbare Dateigrößen — 10/416 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 125.618 |
| source_files_sampled | 416 |
| oversized_source_files | 10 |
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
248GitHub-Sterne
27Mitwirkende
66Commits, letzte 12 Monate
5Tage seit letztem Push
97Releases
2Bus-Faktor
2offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 4.8 / 10
4.8Gesamtwert
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 |
| k. A. | Branch-Protection | internal 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 |
| k. A. | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 13 contributing companies or organizations |
| k. A. | Dangerous-Workflow | no workflows found |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| k. A. | Token-Permissions | No tokens found |
| 5 | Vulnerabilities | 5 existing vulnerabilities detected |
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.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | autopep8 | — | indirekt |
| PyPI | clang | — | indirekt |
| PyPI | click | 8.3.1 | indirekt |
| PyPI | enum-tools | — | indirekt |
| PyPI | faker | — | indirekt |
| PyPI | faker-vehicle | — | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | pre-commit | — | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | pytest-asyncio | — | indirekt |
| PyPI | pytest-rerunfailures | — | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | requests | — | indirekt |
| PyPI | sphinx | — | indirekt |
| PyPI | sphinx-copybutton | — | indirekt |
| PyPI | sphinx-rtd-theme | — | indirekt |
| PyPI | sphinx-toolbox | — | indirekt |
| PyPI | twisted | — | indirekt |
| PyPI | typing-extensions | — | indirekt |
Abhängigkeits-Advisories 1
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 3 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 1 tragen bekannte Advisories, davon 0 direkte. 16 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| click | 8.3.1 | indirekt | hoch | 1 | 8.3.3 |
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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"pushed_at": "2026-07-15T16:08:09Z",
"created_at": "2011-07-29T04:24:46Z",
"owner_type": "Organization",
"updated_at": "2026-07-15T16:09:39Z",
"description": "Couchbase Python Client Library (Official)",
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"Operating System :: OS Independent",
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"Topic :: Database",
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"Topic :: Software Development :: Libraries :: Python Modules"
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"ecosystem": "pypi",
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"registry_url": "https://pypi.org/project/couchbase/",
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"has_llms_txt": false,
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"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"largest_source_bytes": 125618,
"source_files_sampled": 416,
"oversized_source_files": 10,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
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"requirements.txt",
"setup.py"
],
"advisories": {
"error": null,
"scope": "repository_graph",
"source": "osv",
"findings": [
{
"name": "click",
"direct": false,
"version": "8.3.1",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 7.2,
"advisory_ids": [
"PYSEC-2026-2132"
],
"fixed_version": "8.3.3",
"advisory_count": 1,
"oldest_advisory_days": 81
}
],
"collected": true,
"truncated": false,
"by_severity": {
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"assessed_count": 3,
"assessed_package": null,
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"ecosystems": [
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"dependencies": [],
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"error": null,
"source": "github-sbom",
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},
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{
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{
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"direct": false,
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},
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"points": 20,
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"details": [
{
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"count": 165
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}
],
"max_points": 20
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{
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"points": 20,
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"details": [
{
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],
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},
{
"key": "engineering",
"band": "moderate",
"name": "Engineering Quality",
"value": 69,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
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"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
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{
"key": "ci_workflows",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 24
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{
"key": "tests_present",
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"detail": null,
"points": 24,
"status": "met",
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{
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"points": 16,
"status": "met",
"details": [
{
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{
"key": "pre_commit_hooks",
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"points": 9.6,
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"details": [],
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{
"key": "editorconfig",
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"status": "missed",
"details": [],
"max_points": 6.4
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{
"key": "openssf_scorecard_ci_tests",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
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],
"max_points": 20
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]
},
{
"key": "documentation",
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"note": null,
"notes": [],
"value": 80,
"inputs": {
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"homepage": "https://www.couchbase.com/",
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"components": [
{
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"points": 30,
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"details": [],
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{
"key": "documentation_directory",
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"points": 25,
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"details": [],
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{
"key": "documentation_homepage_site",
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"status": "met",
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{
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"points": 10,
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{
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 58,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests, Dangerous-Workflow, Packaging, Signed-Releases, Token-Permissions. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
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},
{
"code": "weights_renormalized",
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"components": [
{
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"points": 7.5,
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{
"key": "branch_protection",
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"points": 0,
"status": "excluded",
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{
"code": "no_data",
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],
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{
"key": "ci_tests",
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"status": "excluded",
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{
"code": "no_data",
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],
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{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
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{
"key": "code_review",
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"points": 7.5,
"status": "met",
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{
"key": "contributors",
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"points": 2.5,
"status": "met",
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{
"key": "dangerous_workflow",
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"status": "excluded",
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{
"code": "no_data",
"params": {}
}
],
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},
{
"key": "dependency_update_tool",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "fuzzing",
"name": "Fuzzing",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
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{
"key": "maintained",
"name": "Maintained",
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"points": 7.5,
"status": "met",
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{
"key": "packaging",
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"points": 0,
"status": "excluded",
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"code": "no_data",
"params": {}
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{
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{
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"status": "missed",
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{
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"status": "missed",
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{
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"code": "no_data",
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{
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"code": "no_data",
"params": {}
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],
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{
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"points": 3.8,
"status": "partial",
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"max_points": 7.5
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]
},
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"code": "advisories_repo_graph_caveat",
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{
"code": "advisories_reachability",
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"affected_by_severity": "high 1",
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"components": [
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"points": 35,
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"details": [
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{
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"code": "jurisdiction_no_match",
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{
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{
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{
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{
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"code": "file_list",
"params": {
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{
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"status": "excluded",
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"code": "no_data",
"params": {}
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],
"max_points": 10
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{
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"code": "no_data",
"params": {}
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"max_points": 8
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{
"key": "openssf_scorecard_pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
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]
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{
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"note": null,
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"source_files_sampled": 416,
"oversized_source_files": 10
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"components": [
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"points": 0,
"status": "missed",
"details": [
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"params": {
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],
"max_points": 45
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{
"key": "manageable_file_sizes",
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"points": 53.7,
"status": "partial",
"details": [
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"code": "oversized_source_files",
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"oversized": 10
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],
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"notes": [],
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"api_schema_files": []
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"points": 0,
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"code": "file_list",
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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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},
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}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 v0.16.0 — vollständige Methodik · Metriken-Wiki.
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