Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.16.0 · Metriken 1.13.0 · 2026-07-21 01:59 UTC
magmax / python-inquirer
A collection of common interactive command line user interfaces, based on Inquirer.js (https://github.com/SBoudrias/Inquirer.js/)
magmax/python-inquirer erreicht einen Gesundheitsindex von 65 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (84/100) ab, am schwächsten bei Vitality (39/100). Zuletzt vor 241 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
65
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.
65
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
Miguel Ángel GarcíaPersönliches Konto
73 Follower157 öffentliche Reposseit Jan. 2011
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 | inquirer | 3.4.1 | - | 49 | vor 352 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
39
Entwicklungsaktivität
19Kritisch
Wie die Bewertung erfolgt
| 3.6/36 | Push-Aktualität — letzter Push vor 241 Tagen |
| 2.8/36 | Commit-Rhythmus — 4/52 Wochen mit Commits |
| 12.4/18 | Commit-Volumen — 23 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 | 23 |
| human_commit_share | — |
| days_since_last_push | 241 |
| active_weeks_last_year | 4 |
Release-Disziplin
70Gut
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 33 Releases veröffentlicht |
| 16.2/36 | Release-Aktualität — letztes Release vor 352 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 64,1 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 33 |
| latest_release_tag | v3.4.1 |
| releases_from_tags | nein |
| days_since_latest_release | 352 |
| mean_days_between_releases | 64,1 |
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?
78
Wie die Bewertung erfolgt
| 49.6/60 | Stars — 1.138 Stars |
| 16.8/25 | Forks — 105 Forks |
| 4.3/15 | Watcher — 7 Watcher |
Verwendete Eingangsdaten
| forks | 105 |
| stars | 1.138 |
| watchers | 7 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
85Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | 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 | ja |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
69
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 15.7/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 30 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 36 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 36 |
| top_contributor_share | 0,3 |
Wie die Bewertung erfolgt
| 37.8/46.8 | Issue-Lösungsquote — 81 % der Issues geschlossen |
| 25.5/38.3 | PR-Annahme — 367/551 entschiedene PRs gemergt |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 2/7 approved changesets -- score normalized to 2 |
Verwendete Eingangsdaten
| merged_prs | 367 |
| open_issues | 29 |
| closed_issues | 123 |
| issue_closed_ratio | 0,809 |
| closed_unmerged_prs | 184 |
Eigentümerschaft & Trägerschaft
60Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 13.4/25 | Reichweite des Inhabers — 73 Follower von magmax |
| 25/25 | Kontohistorie — 157 öffentliche Repos, Kontoalter ca. 15 Jahre |
Verwendete Eingangsdaten
| followers | 73 |
| owner_type | User |
| is_verified | — |
| owner_login | magmax |
| public_repos | 157 |
| account_age_days | 5.654 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
91Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 26/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 352 Tagen |
| 20/20 | Versionshistorie — 49 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | inquirer |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 352 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
84
Engineering-Praktiken
90Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 4 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .flake8 |
| 9.6/9.6 | Pre-Commit-Hooks |
| 6.4/6.4 | .editorconfig |
| 10/20 | OpenSSF Scorecard: CI-Tests — 11 out of 20 merged PRs checked by a CI test -- score normalized to 5 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | ja |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| 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?
54
Sicherheitslage
42Gefährdet
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 — 11 out of 20 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 |
| 1.5/7.5 | Code-Review — Found 2/7 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 16 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 |
| 5/5 | Packaging — packaging workflow detected |
| 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 — 46 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 7 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:inquirer@3.4.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 7 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.
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 — noxfile.py |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .flake8 |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 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 | poetry.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | noxfile.py |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/71 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 13.843 |
| source_files_sampled | 71 |
| 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 |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
1.138GitHub-Sterne
36Mitwirkende
23Commits, letzte 12 Monate
241Tage seit letztem Push
33Releases
2Bus-Faktor
29offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 4.2 / 10
4.2Gesamtwert
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 | 11 out of 20 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 |
| 2 | Code-Review | Found 2/7 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 16 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 |
| 10 | Packaging | packaging workflow 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 | 46 existing vulnerabilities detected |
Direkte Abhängigkeiten 3
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | blessed | >=1.19.0 | pyproject.toml |
| PyPI | readchar | >=4.2.0 | pyproject.toml |
| PyPI | editor | >=1.6.0 | pyproject.toml |
Alle Abhängigkeiten 112
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 3 direkte und 109 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | blessed | 1.21.0 | direkt |
| PyPI | editor | 1.6.6 | direkt |
| PyPI | readchar | 4.2.1 | direkt |
| PyPI | accessible-pygments | 0.0.5 | indirekt |
| PyPI | alabaster | 0.7.16 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | ansicon | 1.89.0 | indirekt |
| PyPI | anyio | 4.9.0 | indirekt |
| PyPI | argcomplete | 3.6.2 | indirekt |
| PyPI | attrs | 25.3.0 | indirekt |
| PyPI | authlib | 1.6.1 | indirekt |
| PyPI | babel | 2.17.0 | indirekt |
| PyPI | backports-datetime-fromisoformat | 2.0.3 | indirekt |
| PyPI | bandit | 1.8.6 | indirekt |
| PyPI | beautifulsoup4 | 4.13.4 | indirekt |
| PyPI | build | 1.3.0 | indirekt |
| PyPI | certifi | 2025.7.14 | indirekt |
| PyPI | cffi | 1.17.1 | indirekt |
| PyPI | cfgv | 3.4.0 | indirekt |
| PyPI | charset-normalizer | 3.4.2 | indirekt |
| PyPI | click | 8.1.8 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | colorlog | 6.9.0 | indirekt |
| PyPI | cryptography | 45.0.5 | indirekt |
| PyPI | dependency-groups | 1.3.1 | indirekt |
| PyPI | distlib | 0.4.0 | indirekt |
| PyPI | docutils | 0.21.2 | indirekt |
| PyPI | dparse | 0.6.4 | indirekt |
| PyPI | exceptiongroup | 1.3.0 | indirekt |
| PyPI | filelock | 3.16.1 | indirekt |
| PyPI | flake8 | 7.3.0 | indirekt |
| PyPI | flake8-docstrings | 1.7.0 | indirekt |
| PyPI | furo | 2025.7.19 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | identify | 2.6.12 | indirekt |
| PyPI | idna | 3.10 | indirekt |
| PyPI | imagesize | 1.4.1 | indirekt |
| PyPI | importlib-metadata | 8.7.0 | indirekt |
| PyPI | isort | 6.0.1 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jinxed | 1.3.0 | indirekt |
| PyPI | joblib | 1.5.1 | indirekt |
| PyPI | markdown-it-py | 3.0.0 | indirekt |
| PyPI | markupsafe | 3.0.2 | indirekt |
| PyPI | marshmallow | 4.0.0 | indirekt |
| PyPI | mccabe | 0.7.0 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | myst-parser | 4.0.1 | indirekt |
| PyPI | nltk | 3.9.1 | indirekt |
| PyPI | nodeenv | 1.9.1 | indirekt |
| PyPI | nox | 2025.5.1 | indirekt |
| PyPI | nox-poetry | 1.2.0 | indirekt |
| PyPI | packaging | 25.0 | indirekt |
| PyPI | pbr | 6.1.1 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | platformdirs | 4.3.8 | indirekt |
| PyPI | pre-commit | 4.2.0 | indirekt |
| PyPI | pre-commit-hooks | 5.0.0 | indirekt |
| PyPI | psutil | 6.1.1 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pycodestyle | 2.14.0 | indirekt |
| PyPI | pycparser | 2.22 | indirekt |
| PyPI | pydantic | 2.9.2 | indirekt |
| PyPI | pydantic-core | 2.23.4 | indirekt |
| PyPI | pydocstyle | 6.3.0 | indirekt |
| PyPI | pyflakes | 3.4.0 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pyproject-hooks | 1.2.0 | indirekt |
| PyPI | pyupgrade | 3.20.0 | indirekt |
| PyPI | pyyaml | 6.0.2 | indirekt |
| PyPI | regex | 2024.11.6 | indirekt |
| PyPI | requests | 2.32.4 | indirekt |
| PyPI | rich | 14.1.0 | indirekt |
| PyPI | ruamel-yaml | 0.18.14 | indirekt |
| PyPI | ruamel-yaml-clib | 0.2.12 | indirekt |
| PyPI | runs | 1.2.2 | indirekt |
| PyPI | safety | 3.6.0 | indirekt |
| PyPI | safety-schemas | 0.0.14 | indirekt |
| PyPI | setuptools | 80.9.0 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | snowballstemmer | 3.0.1 | indirekt |
| PyPI | soupsieve | 2.7 | indirekt |
| PyPI | sphinx | 7.4.7 | indirekt |
| PyPI | sphinx | 8.2.3 | indirekt |
| PyPI | sphinx-autobuild | 2024.10.3 | indirekt |
| PyPI | sphinx-basic-ng | 1.0.0b2 | 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 |
| PyPI | starlette | 0.47.2 | indirekt |
| PyPI | stevedore | 5.4.1 | indirekt |
| PyPI | tenacity | 9.1.2 | indirekt |
| PyPI | tokenize-rt | 6.2.0 | indirekt |
| PyPI | tomli | 2.2.1 | indirekt |
| PyPI | tomlkit | 0.13.3 | indirekt |
| PyPI | tqdm | 4.67.1 | indirekt |
| PyPI | typer | 0.16.0 | indirekt |
| PyPI | typing-extensions | 4.14.1 | indirekt |
| PyPI | urllib3 | 2.5.0 | indirekt |
| PyPI | uvicorn | 0.35.0 | indirekt |
| PyPI | virtualenv | 20.32.0 | indirekt |
| PyPI | watchfiles | 1.1.0 | indirekt |
| PyPI | wcwidth | 0.2.13 | indirekt |
| PyPI | websockets | 15.0.1 | indirekt |
| PyPI | xmod | 1.8.1 | indirekt |
| PyPI | zipp | 3.23.0 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:inquirer@3.4.1 zieht 7 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
{
"data": {
"repo": {
"topics": [],
"is_fork": false,
"size_kb": 2036,
"has_wiki": true,
"homepage": null,
"languages": {
"Python": 119733
},
"pushed_at": "2025-11-21T12:04:52Z",
"created_at": "2014-05-02T10:23:43Z",
"owner_type": "User",
"updated_at": "2026-07-06T01:21:24Z",
"description": "A collection of common interactive command line user interfaces, based on Inquirer.js (https://github.com/SBoudrias/Inquirer.js/)",
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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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"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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{
"key": "pr_acceptance",
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"inputs": {
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"components": [
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{
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"code": "not_applicable_to_user_accounts",
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{
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{
"key": "package_maintenance",
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"notes": [],
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"inputs": {
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{
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}
],
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"key": "branch_protection",
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"detail": "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",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "11 out of 20 merged PRs checked by a CI test -- score normalized to 5",
"points": 1.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 2/7 approved changesets -- score normalized to 2",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 16 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"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": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "46 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:inquirer@3.4.1 runtime dependency closure — what installing the published package pulls in — 7 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:inquirer@3.4.1",
"assessed": 7
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 7,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"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",
"packages": [],
"red_flag": false,
"assessed_packages": 7,
"malicious_packages": 0,
"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": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 16
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "at_risk",
"name": "AI Readiness",
"value": 44,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 73,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"poetry.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"noxfile.py"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "noxfile.py",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "noxfile.py"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".flake8",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 13843,
"source_files_sampled": 71,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/71 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 71,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"max_points": 40
}
]
}
],
"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": [],
"report_type": "repository",
"generated_at": "2026-07-21T01:59:45.184666Z",
"schema_version": "0.16.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/magmax/python-inquirer.svg",
"full_name": "magmax/python-inquirer",
"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 v0.16.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.