Öffentliches RegisterKritisch
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-25 08:43 UTC
beta-team / beta-recsys
Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
beta-team/beta-recsys erreicht einen Gesundheitsindex von 29 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Sustainability & Governance (65/100) ab, am schwächsten bei Vitality (23/100). Zuletzt vor 240 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
29
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.
29
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.
Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.
Eigentümerschaft
beta-teamOrganisation
0 Follower4 öffentliche Reposseit März 2020
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 | beta_rec | 0.3.2 | 124 | 6 | vor 1972 Tagen | pytorchrecommender-systemrecommendations |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
23
Entwicklungsaktivität
4Kritisch
Hinweis auf Verwaisung
Arbeit ist eingegangen, und niemand hat sich darum gekümmert
seit 552 Tagen kein menschlicher Commitautomatisierte Commits ausgenommenunbeantwortete Issuesveröffentlichter Fix nicht eingespieltReleases stehen stillOpenSSF Scorecard meldet es als ungepflegtContinuous Integration defektGesamtbewertung: Obergrenze Gefährdet
Stille allein ist nie der Befund — eine kleine, fertige Bibliothek braucht womöglich jahrelang keinen Commit. Dieser Hinweis verlangt beides: lange keinen menschlichen Commit und Pflichten, denen das Projekt sichtbar nicht nachkommt. Automatisierte Commits gelten nicht als Pflege.
Wie Verwaisung bewertet wirdWie die Bewertung erfolgt
| 3.6/36 | Push-Aktualität — letzter Push vor 240 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 | 0,97 |
| days_since_last_push | 240 |
| active_weeks_last_year | 0 |
Release-Disziplin
52Mittel
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 10 Releases veröffentlicht |
| 0/36 | Release-Aktualität — letztes Release vor 1.662 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 59,7 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 10 |
| latest_release_tag | v0.3.3 |
| releases_from_tags | nein |
| days_since_latest_release | 1.662 |
| mean_days_between_releases | 59,7 |
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?
46
Popularität & Verbreitung
50Mittel
Wie die Bewertung erfolgt
| 36.2/60 | Stars — 172 Stars |
| 12.5/25 | Forks — 33 Forks |
| 1.7/15 | Watcher — 3 Watcher |
Verwendete Eingangsdaten
| forks | 33 |
| stars | 172 |
| watchers | 3 |
| 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 |
Ökosystem-Verbreitung (Downloads)
35Gefährdet
Wie die Bewertung erfolgt
| 28/80 | Downloads pro Monat — 124 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | beta_rec |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 124 |
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?
65
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 14.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 35 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 13 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 13 |
| top_contributor_share | 0,351 |
Wie die Bewertung erfolgt
| 38.9/46.8 | Issue-Lösungsquote — 83 % der Issues geschlossen |
| 34.2/38.3 | PR-Annahme — 281/314 entschiedene PRs gemergt |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 7/9 approved changesets -- score normalized to 7 |
Verwendete Eingangsdaten
| merged_prs | 281 |
| open_issues | 21 |
| closed_issues | 104 |
| issue_closed_ratio | 0,832 |
| closed_unmerged_prs | 33 |
Eigentümerschaft & Trägerschaft
47Gefährdet
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 0/25 | Reichweite des Inhabers — 0 Follower von beta-team |
| 17.1/25 | Kontohistorie — 4 öffentliche Repos, Kontoalter ca. 6 Jahre |
Verwendete Eingangsdaten
| followers | 0 |
| owner_type | Organization |
| is_verified | — |
| owner_login | beta-team |
| public_repos | 4 |
| account_age_days | 2.322 |
Paketpflege
69Mittel
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 4/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 1.972 Tagen |
| 20/20 | Versionshistorie — 6 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | beta_rec |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 1.972 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
65
Engineering-Praktiken
48Gefährdet
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 |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 12 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://beta-recsys.readthedocs.io/en/latest/ |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://beta-recsys.readthedocs.io/en/latest/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
37
Sicherheitslage
38Gefährdet
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 — 0 out of 12 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 7/9 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 6 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | 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 |
| 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 |
| 0/7.5 | Vulnerabilities — 90 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 3,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
34Gefährdet
Wie die Bewertung erfolgt
| 5.3/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 4 betroffen: ray 1.0.1 (critical 9.8), py7zr 0.22.0 (high 8.0), requests 2.24.0 (moderate 6.1), +1 weitere |
| 7.4/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — 2 betroffen: idna 2.10.0 (high 7.5), urllib3 1.25.11 (high 8.1) |
| 21.5/40 | Keine offenen Advisories — 5 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 2.261 Tagen veröffentlicht |
Verwendete Eingangsdaten
| source | osv |
| advisories | 58 |
| affected_packages | 6 |
| assessed_packages | 80 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, high 3, moderate 1, unknown 1 |
| direct_affected_packages | 4 |
Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:beta_rec@0.3.2 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 80 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.
43
AI-Agentenkontext & Leitlinien
20Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 20.3/40 | Lesbare Commit-Historie — 37 von 97 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,381 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Makefile, 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 |
| 8/8 | Automatisierte Wartung — 3 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates |
| 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 | Makefile, docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,03 |
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/119 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 39.242 |
| source_files_sampled | 119 |
| oversized_source_files | 0 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
172GitHub-Sterne
13Mitwirkende
0Commits, letzte 12 Monate
240Tage seit letztem Push
10Releases
2Bus-Faktor
21offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 33 ⇿
0Sterne
33Forks
10Releases
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 2Patch 7
Jeder Punkt umfasst 5 Tage.
OpenSSF Scorecard 3.8 / 10
3.8Gesamtwert
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 |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 0 | CI-Tests | 0 out of 12 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 7/9 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 6 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | 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 |
| 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 |
| 0 | Vulnerabilities | 90 existing vulnerabilities detected |
Alle Abhängigkeiten 24
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 24 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | aiofiles | — | indirekt |
| PyPI | aiohttp | — | indirekt |
| PyPI | gputil | 1.4.0 | indirekt |
| PyPI | mock | — | indirekt |
| PyPI | mock | 4.0.1 | indirekt |
| PyPI | munch | 2.5.0 | indirekt |
| PyPI | nest-asyncio | — | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | pandas | 1.0.3 | indirekt |
| PyPI | psutil | — | indirekt |
| PyPI | py-cpuinfo | — | indirekt |
| PyPI | py7zr | — | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | pytest-cov | — | indirekt |
| PyPI | ray | 2.8.1 | indirekt |
| PyPI | requests | 2.32.0 | indirekt |
| PyPI | rstcheck | — | indirekt |
| PyPI | scikit-learn | — | indirekt |
| PyPI | scipy | — | indirekt |
| PyPI | sphinx-markdown-tables | — | indirekt |
| PyPI | tabulate | — | indirekt |
| PyPI | tensorboardx | — | indirekt |
| PyPI | torch | — | indirekt |
| PyPI | tqdm | — | indirekt |
Abhängigkeits-Advisories 6
Die Installation von pypi:beta_rec@0.3.2 zieht 80 Pakete nach sich, direkt und transitiv: 6 tragen bekannte Advisories, davon 4 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| ray | 1.0.1 | direkt | kritisch | 21 | 2.56.0 |
| py7zr | 0.22.0 | direkt | hoch | 6 | 1.1.3 |
| idna | 2.10.0 | indirekt | hoch | 4 | 3.15 |
| urllib3 | 1.25.11 | indirekt | hoch | 18 | 2.7.0 |
| requests | 2.24.0 | direkt | mittel | 8 | 2.33.0 |
| pandas | 1.0.3 | direkt | unbekannt | 1 | 1.0.4 |
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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"homepage": "https://beta-recsys.readthedocs.io/en/latest/",
"languages": {
"Shell": 1598,
"Python": 685346,
"Makefile": 215,
"Dockerfile": 3198
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"pushed_at": "2025-11-26T19:42:17Z",
"created_at": "2020-03-15T17:03:32Z",
"owner_type": "Organization",
"updated_at": "2026-07-19T07:35:56Z",
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"activity": {
"releases": [
{
"tag": "v0.3.3",
"kind": "patch",
"published_at": "2022-01-04T13:09:37Z"
},
{
"tag": "v0.3.2",
"kind": "patch",
"published_at": "2021-02-28T14:29:38Z"
},
{
"tag": "v0.3.1",
"kind": "patch",
"published_at": "2021-01-26T21:12:57Z"
},
{
"tag": "v0.3.0",
"kind": "minor",
"published_at": "2021-01-09T15:21:40Z"
},
{
"tag": "v0.2.4",
"kind": "patch",
"published_at": "2020-12-24T23:03:54Z"
},
{
"tag": "v0.2.3",
"kind": "patch",
"published_at": "2020-11-23T11:27:18Z"
},
{
"tag": "v0.2.2",
"kind": "patch",
"published_at": "2020-10-26T10:24:45Z"
},
{
"tag": "v0.2.1",
"kind": "patch",
"published_at": "2020-09-23T23:12:22Z"
},
{
"tag": "v0.2.0",
"kind": "minor",
"published_at": "2020-09-23T10:29:52Z"
},
{
"tag": "v0.1",
"kind": "other",
"published_at": "2020-07-15T19:25:05Z"
}
],
"recent_commits": [
{
"oid": "200f7412135e4599e4a5d0db74ae54d0704432e1",
"body": "Bump ray from 2.3.0 to 2.8.1",
"is_bot": false,
"headline": "Merge pull request #437 from beta-team/dependabot/pip/ray-2.8.1",
"author_name": "Zaiqiao Meng",
"author_login": "mengzaiqiao",
"committed_at": "2025-01-19T08:16:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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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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"notes": [],
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"inputs": {
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"has_license": true,
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},
{
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}
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}
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}
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"notes": [],
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},
"components": [
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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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}
}
],
"max_points": 38.25
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{
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"status": "partial",
"details": [],
"max_points": 15
}
]
},
{
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"note": null,
"notes": [],
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"inputs": {
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"owner_type": "Organization",
"is_verified": null,
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"account_age_days": 2322
},
"components": [
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"details": [
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"code": "owner_organization",
"params": {}
}
],
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},
{
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"status": "missed",
"details": [],
"max_points": 20
},
{
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"points": 0,
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}
}
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},
{
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"points": 17.1,
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}
},
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}
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{
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"inputs": {
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},
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},
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},
{
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},
{
"key": "fuzzing",
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"status": "missed",
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},
{
"key": "license",
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},
{
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{
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{
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},
{
"key": "sast",
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},
{
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"status": "missed",
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},
{
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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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"notes": [
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"code": "advisories_scope_published",
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}
},
{
"code": "advisories_reachability",
"params": {}
}
],
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"inputs": {
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"direct_affected_packages": 4
},
"components": [
{
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"status": "partial",
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"code": "advisories_affected",
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"packages": "ray 1.0.1 (critical 9.8), py7zr 0.22.0 (high 8.0), requests 2.24.0 (moderate 6.1)"
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},
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}
}
],
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},
{
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"code": "advisories_affected",
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}
}
],
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},
{
"key": "no_advisories_left_outstanding",
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"points": 21.5,
"status": "partial",
"details": [
{
"code": "advisories_stale",
"params": {
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"count": 5,
"oldest": 2261
}
}
],
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}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
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"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
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"red_flag": false,
"assessed_packages": 80,
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
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{
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{
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{
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{
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{
"key": "ai_code_legibility",
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{
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{
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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."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-25T08:43:56.260038Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/beta-team/beta-recsys.svg",
"full_name": "beta-team/beta-recsys",
"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.