Öffentliches RegisterExzellent
Software-GesundheitsberichtSchema 0.27.0 · Metriken 2.5.0 · 2026-07-29 01:28 UTC
runloopai / api-client-python
Python API to access the Runloop platform
runloopai/api-client-python erreicht einen Gesundheitsindex von 91 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei Community & Adoption (58/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
91
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer standardisierten Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr gewichtetes Mittel, kalibriert auf die Verteilung des öffentlichen Registers, sodass die Stufen Perzentilbedeutung tragen; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze Gefährdet von 34.
91
Außergewöhnlich93-100Die Spitzengruppe des Registers (≈ obere 5 %); erfüllt im Wesentlichen alle geprüften Kriterien
Exzellent80-92Durchgehend stark; geringfügige Lücken
Gut65-79Gesund; Lücken sind begrenzt und beherrschbar
Mittel50-64Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Schwach35-49Wesentliche Schwächen in mehreren Bereichen
Gefährdet20-34Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-19Schwerwiegende 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.
Der gewichtete Gesamtwert 77 wird auf der veröffentlichten Indexskala auf 91 kalibriert (Register-Kalibrierung 2026-08-02).
Eigentümerschaft
Runloop AIOrganisation
30 Follower62 öffentliche Reposseit Nov. 2023
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 |
|---|---|---|---|---|---|
| PyPI | runloop_api_client | 1.27.0 | 840.959 | 143 | vor 0 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
96
Entwicklungsaktivität
93Außergewöhnlich
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 29.1/36 | Commit-Rhythmus — 42/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 223 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 25 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 223 |
| human_commit_share | 0,56 |
| days_since_last_push | 0 |
| active_weeks_last_year | 42 |
Release-Disziplin
100Außergewöhnlich
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 100 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 0 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 9,1 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 100 |
| latest_release_tag | v1.27.0 |
| releases_from_tags | nein |
| days_since_latest_release | 0 |
| mean_days_between_releases | 9,1 |
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?
58
Popularität & Verbreitung
23Gefährdet
Wie die Bewertung erfolgt
| 22.7/60 | Stars — 26 Stars |
| 0/25 | Forks — 2 Forks |
| 0/15 | Watcher — 1 Watcher |
Verwendete Eingangsdaten
| forks | 2 |
| stars | 26 |
| watchers | 1 |
| 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 (MIT) |
| 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 |
| readme_badges | — |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| readme_badge_services | — |
| has_pull_request_template | nein |
Ökosystem-Verbreitung (Downloads)
99Außergewöhnlich
Wie die Bewertung erfolgt
| 79/80 | Downloads pro Monat — 840.959 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | runloop_api_client |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 840.959 |
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?
78
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 12/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 46 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 14 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 14 |
| top_contributor_share | 0,465 |
Reaktionsfähigkeit bei Issues & PRs
98Außergewöhnlich
Wie die Bewertung erfolgt
| 0/42 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 29.1/30 | PR-Annahme — 788/811 entschiedene PRs gemergt |
| 0/13 | Newcomer PR acceptance — kein PR eines Erstbeitragenden in 30 Tagen entschieden |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Verwendete Eingangsdaten
| merged_prs | 788 |
| open_issues | 0 |
| closed_issues | 0 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | — |
| closed_unmerged_prs | 23 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, newcomer_pr_acceptance. Die verbleibenden Gewichte wurden renormalisiert.
Eigentümerschaft & Trägerschaft
59Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 10.7/25 | Reichweite des Inhabers — 30 Follower von runloopai |
| 18.4/25 | Kontohistorie — 62 öffentliche Repos, Kontoalter ca. 2 Jahre |
Verwendete Eingangsdaten
| followers | 30 |
| owner_type | Organization |
| is_verified | — |
| owner_login | runloopai |
| public_repos | 62 |
| account_age_days | 981 |
Paketpflege
100Außergewöhnlich
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen |
| 20/20 | Versionshistorie — 143 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | runloop_api_client |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 0 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
76
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 5 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
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://runloopai.github.io/api-client-python/ |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://runloopai.github.io/api-client-python/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
69
Sicherheitslage
61Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.2/2.5 | CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 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 3 contributing companies or organizations -- score normalized to 10 |
| 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 |
| 7.5/7.5 | Maintained — 25 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 — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 32 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Außergewöhnlich
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 | 65 |
| affected_packages | 10 |
| assessed_packages | 130 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, high 3, moderate 5, low 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. 130 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 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? Trägt ein bewusst kleines Gewicht (4 %): Agenten-Tooling ist ein echtes Pflegesignal, doch ein Repository ohne jedes Signal kann weiterhin 100/100 erreichen.
79
AI-Agentenkontext & Leitlinien
100Außergewöhnlich
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md, CLAUDE.md |
| 15/15 | Maschinenlesbare Doku (llms.txt) — llms.txt vorhanden |
| 40/40 | Lesbare Commit-Historie — 54 von 56 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | ja |
| legible_history_share | 0,964 |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 1.164 |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — src/runloop_api_client/py.typed |
| 10/10 | Reproduzierbare Umgebung — devcontainer, Dockerfile, lockfile |
| 10/10 | Belegte Agentenpraxis — 14 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht 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 | uv.lock |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | ja |
| has_linter_config | nein |
| typecheck_configs | src/runloop_api_client/py.typed |
| agent_commit_share | 0,14 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
81Exzellent
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/runloop_api_client/py.typed) |
| 54.4/55 | Handhabbare Dateigrößen — 5/456 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 160.340 |
| source_files_sampled | 456 |
| oversized_source_files | 5 |
Maschinenlesbare AI-Schnittstellen
40Schwach
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
26GitHub-Sterne
14Mitwirkende
223Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
2Bus-Faktor
0offene 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:runloop_api_client@1.27.0; advisories assessed against the repository dependency graph instead
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 2 ⇿
0Sterne
2Forks
38Releases
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 1Minor 28Patch 8
OpenSSF Scorecard 6.1 / 10
6.1Gesamtwert
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 |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 9 | CI-Tests | 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 3 contributing companies or organizations -- score normalized to 10 |
| 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 |
| 10 | Maintained | 25 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 | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 32 existing vulnerabilities detected |
Direkte Abhängigkeiten 7
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | httpx | >=0.23.0, <1 | pyproject.toml |
| PyPI | pydantic | >=2.0, <3 | pyproject.toml |
| PyPI | typing-extensions | >=4.14, <5 | pyproject.toml |
| PyPI | anyio | >=3.5.0, <5 | pyproject.toml |
| PyPI | distro | >=1.7.0, <2 | pyproject.toml |
| PyPI | sniffio | — | pyproject.toml |
| PyPI | uuid-utils | >=0.11.0 | pyproject.toml |
Alle Abhängigkeiten 130
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 7 direkte und 123 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | anyio | 4.12.1 | direkt |
| PyPI | distro | 1.9.0 | direkt |
| PyPI | httpx | 0.28.1 | direkt |
| PyPI | pydantic | 2.12.5 | direkt |
| PyPI | sniffio | 1.3.1 | direkt |
| PyPI | typing-extensions | 4.15.0 | direkt |
| PyPI | uuid-utils | 0.14.1 | direkt |
| PyPI | accessible-pygments | 0.0.5 | indirekt |
| PyPI | aiohappyeyeballs | 2.6.1 | indirekt |
| PyPI | aiohttp | 3.13.3 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | alabaster | 0.7.16 | indirekt |
| PyPI | alabaster | 1.0.0 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | apeye | 1.4.1 | indirekt |
| PyPI | apeye-core | 1.1.5 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 25.4.0 | indirekt |
| PyPI | autodocsumm | 0.2.6 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | backports-asyncio-runner | 1.2.0 | indirekt |
| PyPI | beautifulsoup4 | 4.14.3 | indirekt |
| PyPI | cachecontrol | 0.14.3 | indirekt |
| PyPI | cachecontrol | 0.14.4 | indirekt |
| PyPI | certifi | 2026.1.4 | indirekt |
| PyPI | charset-normalizer | 3.4.6 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | coverage | 7.10.7 | indirekt |
| PyPI | coverage | 7.13.4 | indirekt |
| PyPI | cssutils | 2.11.1 | indirekt |
| PyPI | dict2css | 0.3.0.post1 | indirekt |
| PyPI | dirty-equals | 0.11 | indirekt |
| PyPI | docutils | 0.21.2 | indirekt |
| PyPI | docutils | 0.22.4 | indirekt |
| PyPI | domdf-python-tools | 3.10.0 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | execnet | 2.1.2 | indirekt |
| PyPI | filelock | 3.19.1 | indirekt |
| PyPI | filelock | 3.25.2 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | furo | 2025.12.19 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | h2 | 4.3.0 | indirekt |
| PyPI | hpack | 4.1.0 | indirekt |
| PyPI | html5lib | 1.1 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx-aiohttp | 0.1.12 | indirekt |
| PyPI | hyperframe | 6.1.0 | indirekt |
| PyPI | idna | 3.11 | indirekt |
| PyPI | imagesize | 1.5.0 | indirekt |
| PyPI | imagesize | 2.0.0 | indirekt |
| PyPI | importlib-metadata | 8.7.1 | indirekt |
| PyPI | iniconfig | 2.1.0 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | markdown-it-py | 3.0.0 | indirekt |
| PyPI | markdown-it-py | 4.0.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | more-itertools | 10.8.0 | indirekt |
| PyPI | msgpack | 1.1.2 | indirekt |
| PyPI | multidict | 6.7.0 | indirekt |
| PyPI | mypy | 1.17.0 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | natsort | 8.4.0 | indirekt |
| PyPI | nodeenv | 1.10.0 | indirekt |
| PyPI | packaging | 25.0 | indirekt |
| PyPI | pathspec | 1.0.3 | indirekt |
| PyPI | platformdirs | 4.4.0 | indirekt |
| PyPI | platformdirs | 4.9.4 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | propcache | 0.4.1 | indirekt |
| PyPI | pydantic-core | 2.41.5 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pyright | 1.1.399 | indirekt |
| PyPI | pytest | 8.4.2 | indirekt |
| PyPI | pytest | 9.0.2 | indirekt |
| PyPI | pytest-asyncio | 1.2.0 | indirekt |
| PyPI | pytest-asyncio | 1.3.0 | indirekt |
| PyPI | pytest-cov | 7.0.0 | indirekt |
| PyPI | pytest-timeout | 2.4.0 | indirekt |
| PyPI | pytest-xdist | 3.8.0 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-frontmatter | 1.1.0 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | requests | 2.32.5 | indirekt |
| PyPI | respx | 0.22.0 | indirekt |
| PyPI | rich | 14.2.0 | indirekt |
| PyPI | roman | 5.1 | indirekt |
| PyPI | roman | 5.2 | indirekt |
| PyPI | roman-numerals | 4.1.0 | indirekt |
| PyPI | ruamel-yaml | 0.18.16 | indirekt |
| PyPI | ruamel-yaml-clib | 0.2.15 | indirekt |
| PyPI | ruff | 0.14.13 | indirekt |
| PyPI | runloop-api-client | 1.23.3 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | snowballstemmer | 3.0.1 | indirekt |
| PyPI | soupsieve | 2.8.3 | indirekt |
| PyPI | sphinx | 7.4.7 | indirekt |
| PyPI | sphinx | 8.1.3 | indirekt |
| PyPI | sphinx | 9.0.4 | indirekt |
| PyPI | sphinx | 9.1.0 | indirekt |
| PyPI | sphinx-autodoc-typehints | 2.3.0 | indirekt |
| PyPI | sphinx-autodoc-typehints | 3.0.1 | indirekt |
| PyPI | sphinx-autodoc-typehints | 3.6.1 | indirekt |
| PyPI | sphinx-autodoc-typehints | 3.9.8 | indirekt |
| PyPI | sphinx-basic-ng | 1.0.0b2 | indirekt |
| PyPI | sphinx-jinja2-compat | 0.4.1 | indirekt |
| PyPI | sphinx-prompt | 1.10.2 | indirekt |
| PyPI | sphinx-prompt | 1.8.0 | indirekt |
| PyPI | sphinx-prompt | 1.9.0 | indirekt |
| PyPI | sphinx-tabs | 3.4.5 | indirekt |
| PyPI | sphinx-toolbox | 4.1.2 | indirekt |
| PyPI | sphinxcontrib-applehelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-devhelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-htmlhelp | 2.1.0 | indirekt |
| PyPI | sphinxcontrib-jsmath | 1.0.1 | indirekt |
| PyPI | sphinxcontrib-qthelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-serializinghtml | 2.0.0 | indirekt |
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| PyPI | tabulate | 0.10.0 | indirekt |
| PyPI | tabulate | 0.9.0 | indirekt |
| PyPI | time-machine | 2.19.0 | indirekt |
| PyPI | time-machine | 3.2.0 | indirekt |
| PyPI | tomli | 2.4.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | urllib3 | 2.6.3 | indirekt |
| PyPI | webencodings | 0.5.1 | indirekt |
| PyPI | yarl | 1.22.0 | indirekt |
| PyPI | zipp | 3.23.0 | indirekt |
Abhängigkeits-Advisories 10
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 130 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 10 tragen bekannte Advisories, davon 0 direkte.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| aiohttp | 3.13.3 | indirekt | kritisch | 42 | 3.14.1 |
| msgpack | 1.1.2 | indirekt | hoch | 1 | 1.2.1 |
| soupsieve | 2.8.3 | indirekt | hoch | 4 | 2.8.4 |
| urllib3 | 2.6.3 | indirekt | hoch | 4 | 2.7.0 |
| filelock | 3.19.1 | indirekt | mittel | 4 | 3.20.3 |
| idna | 3.11 | indirekt | mittel | 2 | 3.15 |
| pytest | 8.4.2 | indirekt | mittel | 2 | 9.0.3 |
| pytest | 9.0.2 | indirekt | mittel | 2 | 9.0.3 |
| requests | 2.32.5 | indirekt | mittel | 2 | 2.33.0 |
| pygments | 2.19.2 | indirekt | niedrig | 2 | 2.20.0 |
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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}
],
"max_points": 25
},
{
"key": "watchers",
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"points": 0,
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"details": [
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}
],
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]
},
{
"key": "community_health",
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"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"readme_badges": null,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"readme_badge_services": [],
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},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
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},
{
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"details": [
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"code": "license_standard",
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},
{
"code": "license_spdx",
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}
],
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},
{
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},
{
"key": "code_of_conduct",
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},
{
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{
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{
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"components": [
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"params": {
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}
],
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{
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"points": 0,
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},
{
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{
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}
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{
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
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"notes": [
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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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"note": null,
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"components": [
{
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"code": "owner_organization",
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{
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{
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{
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"points": 18.4,
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{
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{
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"note": null,
"notes": [],
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{
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"details": [
{
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],
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{
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"points": 20,
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}
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{
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"details": [
{
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}
],
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]
}
],
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},
{
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"metrics": [
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{
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{
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{
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{
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{
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]
},
{
"key": "documentation",
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"inputs": {
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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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"components": [
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{
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"points": 3.8,
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{
"key": "ci_tests",
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{
"key": "cii_best_practices",
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"points": 0,
"status": "missed",
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{
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{
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"status": "met",
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{
"key": "dangerous_workflow",
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"details": [],
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},
{
"key": "dependency_update_tool",
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"status": "met",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "25 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"detail": "packaging workflow not detected",
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"status": "excluded",
"details": [
{
"code": "no_data",
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],
"max_points": 5
},
{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
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"max_points": 5
},
{
"key": "sast",
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"status": "missed",
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{
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"points": 5,
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"details": [],
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{
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"points": 0,
"status": "excluded",
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"code": "no_data",
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{
"key": "token_permissions",
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"status": "missed",
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{
"key": "vulnerabilities",
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"detail": "32 existing vulnerabilities detected",
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"status": "missed",
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]
},
{
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"notes": [
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{
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{
"code": "advisories_scope_repository",
"params": {
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},
{
"code": "advisories_repo_graph_caveat",
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},
{
"code": "advisories_reachability",
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],
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"inputs": {
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"assessed_packages": 130,
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"affected_by_severity": "critical 1, high 3, moderate 5, low 1",
"direct_affected_packages": 0
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"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
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"status": "met",
"details": [
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"code": "no_direct_advisories",
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}
],
"max_points": 35
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{
"key": "indirect_dependencies_free_of_known_advisories",
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"points": 0,
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],
"max_points": 25
},
{
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"status": "excluded",
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],
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]
},
{
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"components": [
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"details": [
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}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
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"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"components": [
{
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"code": "jurisdiction_no_match",
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}
],
"max_points": 100
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]
}
],
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},
{
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"name": "AI Readiness",
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"weight": 0.04,
"metrics": [
{
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
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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 v2.5.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.