robertlugg/easygui erreicht einen Gesundheitsindex von 25 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Community & Adoption (60/100) ab, am schwächsten bei Vitality (15/100). Zuletzt vor 646 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
25
gesamt / 100
Kritisch
Software-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.
25
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.
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
seit 646 Tagen kein menschlicher Commitautomatisierte Commits ausgenommenunbeantwortete Pull Requestsunbeantwortete IssuesReleases stehen stillOpenSSF Scorecard meldet es als ungepflegtGesamtbewertung: 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.
Release-Aktualität — letztes Release vor 3.493 Tagen
5.4/27
Release-Rhythmus — ein Release etwa alle 372,7 Tage
0/10
OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count
3
latest_release_tag
0.98.1
releases_from_tags
nein
days_since_latest_release
3.493
mean_days_between_releases
372,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. Die verbleibenden Gewichte wurden renormalisiert.
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
0
affected_packages
0
assessed_packages
1
unassessed_packages
1
affected_by_severity
none
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. 1 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 1 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.
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.
Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8
Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10
OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nix
nein
has_tests
ja
lockfiles
—
has_dockerfile
nein
typed_language
nein
bootstrap_files
sphinx/Makefile
has_devcontainer
nein
has_linter_config
nein
typecheck_configs
—
agent_commit_share
0
toolchain_manifests
—
dependency_bot_commit_share
0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55
Handhabbare Dateigrößen — 0/39 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_language
Python
largest_source_bytes
19.153
source_files_sampled
39
oversized_source_files
0
Eckdaten
466GitHub-Sterne
20Mitwirkende
0Commits, letzte 12 Monate
646Tage seit letztem Push
3Releases
1Bus-Faktor
92offene 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 ★ / 121 ⇿
0Sterne
121Forks
3Releases
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 1Patch 1
Jeder Punkt umfasst 11 Tage.
OpenSSF Scorecard 3.0 / 10
3.0Gesamtwert
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).Scorecard v5.5.0 · 2026-07-30 22:27 UTC
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 2 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
Registry
Paket
Version
Beziehung
PyPI
pynput
1.7.3
indirekt
PyPI
pytest
—
indirekt
Abhängigkeits-Advisories 0
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 1 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 0 tragen bekannte Advisories, davon 0 direkte. 1 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
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
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"body": "... and if the cursor is still on the button. Credit to Alexander Gordeyev for this (from back in 2015!)\nDue to due to other code changes since then, I've had to cherry-pick the original work and add to it.",
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"headline": "Merge pull request #185 from zadacka/feature/add_travis_unit_tests",
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"headline": "switch testrunner to pytest",
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"body": "…n_info\n\nMake version comparison look at major and minor versions.",
"is_bot": false,
"headline": "Merge pull request #188 from zadacka/fix/check_major_and_minor_versio…",
"author_name": "Alexander Zawadzki",
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"body": "Sequence moved from collections to collections.abc back in v3.3\nIt has been available through collections until v3.9.\nFrom v3.10 onwards it needs to be imported from the right place\n\nMinor change here to amend the version check to use major and minor version.",
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"headline": "Make version comparison look at major and minor versions.",
"author_name": "Alexander Zawadzki",
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"headline": "Merge pull request #187 from hrpzcf/fix_compatibility_py310",
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"oid": "0f6abd5b37c8295618412f9ea38aa7da5d3d87af",
"body": "Change the import method of 'Sequence'.\nThe incompatibility with Python 3.10 may have been fixed.",
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"headline": "Update choice_box.py",
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"oid": "e2e0281b93fb33ebc36383ba48cfce1ce0c00aa3",
"body": "We would like to have pynput (and maybe other things) for testing, but\n do not want to impose that requirement on end-users who just want to use easygui.",
"is_bot": false,
"headline": "Separate *test* requirements from run requirements.",
"author_name": "Alexander Zawadzki",
"author_login": "zadacka",
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"oid": "4de6c717e3e4b52f32d523e5b105fca601c02c6e",
"body": "We actively advertise that easygui has few dependencies.\n* switch pytest -> unittest in order to reduce dependences\n* refactor to work with unittest (no parametrize, must derive from unittest.TestCase class)\n\nAnd also:\n* add init file so that the tests get discovered by unittest\n* add pytest to the \n[…]\n https://stackoverflow.com/questions/4083796/how-do-i-run-unittest-on-a-tkinter-app\n* re-implement the necessary keyboard functionality from pynput to do nice cross platform testing without the import",
"is_bot": false,
"headline": "Amend Al's tests so that they run under Travis CI",
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{
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"number": 27,
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{
"number": 28,
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{
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{
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"detail": "54 public repos, account ~12 yr old",
"points": 24.7,
"status": "partial",
"details": [
{
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},
{
"code": "account_age_years",
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"years": 12
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{
"key": "package_maintenance",
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{
"key": "publish_recency",
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"detail": "latest publish 1581 days ago",
"points": 4,
"status": "partial",
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{
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{
"key": "version_history",
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"detail": "9 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
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"max_points": 20
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{
"key": "not_deprecated",
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"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
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],
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{
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"weight": 0.2,
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"key": "engineering_practices",
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{
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{
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{
"key": "openssf_scorecard_ci_tests",
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},
{
"key": "documentation",
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"notes": [],
"value": 65,
"inputs": {
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{
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{
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"points": 15,
"status": "met",
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{
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"points": 10,
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{
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{
"key": "wiki",
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"points": 10,
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{
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"weight": 0.16,
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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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{
"key": "license",
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"points": 2.5,
"status": "met",
"details": [],
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{
"key": "maintained",
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"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
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{
"key": "packaging",
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{
"code": "no_data",
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],
"max_points": 5
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{
"key": "pinned_dependencies",
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"points": 0,
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"params": {}
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],
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{
"key": "sast",
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"points": 0,
"status": "missed",
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{
"key": "security_policy",
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"points": 0,
"status": "missed",
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{
"key": "signed_releases",
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"max_points": 7.5
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{
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"status": "excluded",
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{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
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{
"key": "vulnerabilities",
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"points": 7.5,
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"max_points": 7.5
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]
},
{
"key": "dependency_advisories",
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"notes": [
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"code": "excluded_no_data",
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{
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{
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{
"code": "advisories_repo_graph_caveat",
"params": {}
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{
"code": "advisories_reachability",
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"direct_affected_packages": 0
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"components": [
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{
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"points": 0,
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{
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"value": 100,
"inputs": {
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"direct_malicious_packages": 0,
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{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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],
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"inputs": {
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"components": [
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],
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{
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"points": 0,
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{
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"points": 0,
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{
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"points": 0,
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{
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"status": "missed",
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{
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"note": null,
"notes": [],
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"inputs": {
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"components": [
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"points": 0,
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{
"key": "manageable_file_sizes",
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"points": 55,
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
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