Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-23 16:16 UTC
kcleal / dysgu
Toolkit for calling structural variants using short or long reads
kcleal/dysgu erreicht einen Gesundheitsindex von 61 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (74/100) ab, am schwächsten bei AI Readiness (37/100). Zuletzt vor 9 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
61
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.
61
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
Kez ClealPersönliches Konto
76 Follower29 öffentliche Reposseit Sept. 2018Cardiff University
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 |
|---|---|---|---|---|---|
| PyPI | dysgu | 1.9.0 | 1.527 | 43 | vor 7 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
74
Entwicklungsaktivität
62Mittel
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 9 Tagen |
| 9.7/36 | Commit-Rhythmus — 14/52 Wochen mit Commits |
| 13.8/18 | Commit-Volumen — 33 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 10 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 33 |
| human_commit_share | 1 |
| days_since_last_push | 9 |
| active_weeks_last_year | 14 |
Release-Disziplin
92Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 29 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 9 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 53,8 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 29 |
| latest_release_tag | v1.9.0 |
| releases_from_tags | nein |
| days_since_latest_release | 9 |
| mean_days_between_releases | 53,8 |
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?
48
Popularität & Verbreitung
43Gefährdet
Wie die Bewertung erfolgt
| 33.4/60 | Stars — 115 Stars |
| 9.3/25 | Forks — 14 Forks |
| 0/15 | Watcher — 2 Watcher |
Verwendete Eingangsdaten
| forks | 14 |
| stars | 115 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 0/18 | 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 | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Wie die Bewertung erfolgt
| 42.5/80 | Downloads pro Monat — 1.527 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | dysgu |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 1.527 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
62
Maintainer-Resilienz (Bus-Faktor)
24Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 1.2/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 94 % der Commits |
| 10.8/13.5 | Breite der Beitragenden — 8 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 8 |
| top_contributor_share | 0,945 |
Wie die Bewertung erfolgt
| 46/46.8 | Issue-Lösungsquote — 98 % der Issues geschlossen |
| 34.6/38.3 | PR-Annahme — 38/42 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 2/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 38 |
| open_issues | 2 |
| closed_issues | 116 |
| issue_closed_ratio | 0,983 |
| closed_unmerged_prs | 4 |
Eigentümerschaft & Trägerschaft
58Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 13.6/25 | Reichweite des Inhabers — 76 Follower von kcleal |
| 22.8/25 | Kontohistorie — 29 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 76 |
| owner_type | User |
| is_verified | — |
| owner_login | kcleal |
| public_repos | 29 |
| account_age_days | 2.878 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 7 Tagen |
| 20/20 | Versionshistorie — 43 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | dysgu |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 7 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
69
Engineering-Praktiken
58Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 10/20 | OpenSSF Scorecard: CI-Tests — 1 out of 2 merged PRs checked by a CI test -- score normalized to 5 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
85Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 8 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | genomics, bioinformatics, structural-variation, variant-calling, paired-end, long-read, structural, variant |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
44
Sicherheitslage
44Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 1.2/2.5 | CI-Tests — 1 out of 2 merged PRs checked by a CI test -- score normalized to 5 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 2/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 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 |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 10 commit(s) and 4 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 — SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4,4 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. 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.
37
AI-Agentenkontext & Leitlinien
12Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 11.7/40 | Lesbare Commit-Historie — 22 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,22 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 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 | — |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
49Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Cython ohne Typprüfungs-Konfiguration |
| 49.1/55 | Handhabbare Dateigrößen — 3/28 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Cython |
| largest_source_bytes | 783.002 |
| source_files_sampled | 28 |
| oversized_source_files | 3 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — notebooks |
Verwendete Eingangsdaten
| example_dirs | notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
115GitHub-Sterne
8Mitwirkende
33Commits, letzte 12 Monate
9Tage seit letztem Push
29Releases
1Bus-Faktor
2offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- deps.dev does not index pypi:dysgu@1.9.0; advisories assessed against the repository dependency graph instead
- No resolved dependencies carried a version and a supported ecosystem
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 14 ⇿
0Sterne
14Forks
26Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 0Minor 5Patch 21
Jeder Punkt umfasst 5 Tage.
OpenSSF Scorecard 4.4 / 10
4.4Gesamtwert
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 |
| 5 | CI-Tests | 1 out of 2 merged PRs checked by a CI test -- score normalized to 5 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 2/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 10 commit(s) and 4 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 | SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 11
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | cython | — | pyproject.toml |
| PyPI | click | >= 8.0 | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | pandas | — | pyproject.toml |
| PyPI | pysam | >= 0.23.3 | pyproject.toml |
| PyPI | networkx | >= 2.4 | pyproject.toml |
| PyPI | scikit-learn | >= 0.22 | pyproject.toml |
| PyPI | sortedcontainers | — | pyproject.toml |
| PyPI | superintervals | >= 0.3.0 | pyproject.toml |
| PyPI | lightgbm | — | pyproject.toml |
Alle Abhängigkeiten 6
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 5 direkte und 1 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | click | — | direkt |
| PyPI | networkx | — | direkt |
| PyPI | pysam | — | direkt |
| PyPI | scikit-learn | — | direkt |
| PyPI | superintervals | — | direkt |
| PyPI | meson-python | — | indirekt |
Abhängigkeits-Advisories nicht bewertet
Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem
JSON-Rohbericht maschinenlesbar
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"published_at": "2023-07-11T07:54:39Z"
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"tag": "v1.4.0",
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"published_at": "2023-06-21T15:08:57Z"
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"tag": "v1.3.16",
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
"type": "User",
"login": "Lupphes",
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"avatar_url": "https://avatars.githubusercontent.com/u/36422511?v=4"
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],
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
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{
"name": "Branch-Protection",
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"reason": "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",
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{
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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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{
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"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"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
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{
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"reason": "project is not fuzzed",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
},
{
"name": "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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"reason": "packaging workflow not detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
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{
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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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{
"name": "Token-Permissions",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#token-permissions"
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{
"name": "Vulnerabilities",
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"reason": "0 existing vulnerabilities detected",
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"disabled_categories": [],
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"source": {
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"metrics": {
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"key": "overall",
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"community": 48,
"governance": 62,
"engineering": 69
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"components": []
},
"categories": [
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"metrics": [
{
"key": "development_activity",
"band": "moderate",
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"note": null,
"notes": [],
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"components": [
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{
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{
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{
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"metrics": [
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"notes": [],
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"components": [
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"status": "partial",
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{
"key": "forks",
"name": "Forks",
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{
"code": "forks",
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}
],
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{
"key": "watchers",
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"code": "watchers",
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],
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]
},
{
"key": "community_health",
"band": "moderate",
"name": "Community health",
"note": null,
"notes": [],
"value": 50,
"inputs": {
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"has_license": true,
"has_contributing": false,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
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"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
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"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
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"code": "license_standard",
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{
"code": "license_spdx",
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}
],
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{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 18
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{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "issue_template",
"name": "Issue template",
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
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]
},
{
"key": "ecosystem_adoption",
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"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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],
"value": 53,
"inputs": {
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"dependents": null,
"ecosystems": "pypi",
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"components": [
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"key": "monthly_downloads",
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"points": 42.5,
"status": "partial",
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"ecosystems": "pypi"
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],
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{
"key": "registry_dependents",
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"points": 0,
"status": "excluded",
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],
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],
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{
"key": "governance",
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"weight": 0.24,
"metrics": [
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"notes": [],
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"inputs": {
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"top_contributor_share": 0.945
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"components": [
{
"key": "bus_factor",
"name": "Bus factor",
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"points": 9,
"status": "partial",
"details": [
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"code": "bus_factor",
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],
"max_points": 54
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{
"key": "commit_distribution",
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"detail": "top contributor authored 94% of commits",
"points": 1.2,
"status": "partial",
"details": [
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"code": "top_contributor_share",
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{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "8 contributors",
"points": 10.8,
"status": "partial",
"details": [
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"code": "contributors_sampled",
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}
],
"max_points": 13.5
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{
"key": "openssf_scorecard_contributors",
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"points": 3,
"status": "partial",
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]
},
{
"key": "responsiveness",
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"note": null,
"notes": [],
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"inputs": {
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"issue_closed_ratio": 0.983,
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"components": [
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"points": 46,
"status": "partial",
"details": [
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],
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{
"key": "pr_acceptance",
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"points": 34.6,
"status": "partial",
"details": [
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{
"key": "openssf_scorecard_code_review",
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{
"key": "stewardship",
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"deps.dev does not index pypi:dysgu@1.9.0; advisories assessed against the repository dependency graph instead",
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],
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"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/k/kcleal/dysgu.svg",
"full_name": "kcleal/dysgu",
"license_state": "standard",
"license_spdx": "MIT"
}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.