requests/requests-ntlm erreicht einen Gesundheitsindex von 42 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Sustainability & Governance (70/100) ab, am schwächsten bei Vitality (19/100). Zuletzt vor 137 Tagen aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
42
gesamt / 100
Gefährdet
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.
42
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 85% multiplier to weighted overall health.
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
seit 781 Tagen kein menschlicher Commitautomatisierte Commits ausgenommenunbeantwortete IssuesOpenSSF Scorecard meldet es als ungepflegt
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.
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
9
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:requests_ntlm@1.3.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 9 Paketen. 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.
Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (requests_ntlm/py.typed)
55/55
Handhabbare Dateigrößen — 0/10 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_language
Python
largest_source_bytes
17.424
source_files_sampled
10
oversized_source_files
0
Eckdaten
347GitHub-Sterne
23Mitwirkende
0Commits, letzte 12 Monate
137Tage seit letztem Push
5Releases
3Bus-Faktor
25offene 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 ★ / 98 ⇿
0Sterne
98Forks
5Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 0Minor 5Patch 0
Jeder Punkt umfasst 11 Tage.
OpenSSF Scorecard 3.3 / 10
3.3Gesamtwert
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 · 2026-07-28 14:48 UTC
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 3 direkte und 7 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
Registry
Paket
Version
Beziehung
PyPI
cryptography
—
direkt
PyPI
pyspnego
—
direkt
PyPI
requests
—
direkt
PyPI
black
24.4.2
indirekt
PyPI
flask
—
indirekt
PyPI
isort
5.13.2
indirekt
PyPI
mypy
1.10.0
indirekt
PyPI
pytest
—
indirekt
PyPI
pytest-cov
—
indirekt
PyPI
types-requests
—
indirekt
Abhängigkeits-Advisories 0
Die Installation von pypi:requests_ntlm@1.3.0 zieht 9 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
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"body": "TIL that 'NTLM %s' % b'really long bytestring' == \"NTLM b'really long bytestring'\". I mean, it makes sense once I look at it.\n\nIRL tested against a real Exchange server and verified I can authenticate and hit the API for results.",
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"body": "I've encountered an NTLM-authenticated Exchange server in the wild that allows usernames without the domain name. This works at least in Chrome and curl using NTLM auth. This patch works for me and is the least intrusive I could think of. It also keeps the foot-shooting countermeasures intact, and I'm fine with providing the username to requests-ntlm as \"\\\\foo_user\" and not just \"foo_user\".",
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}
},
{
"code": "weights_renormalized",
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],
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"scorecard_version": "v5.5.0",
"checks_inconclusive": 1,
"scorecard_aggregate": 3.3
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"components": [
{
"key": "binary_artifacts",
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"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "branch protection not enabled on development/release branches",
"points": 0,
"status": "missed",
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},
{
"key": "ci_tests",
"name": "CI-Tests",
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"points": 0,
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},
{
"key": "cii_best_practices",
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"points": 0,
"status": "missed",
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},
{
"key": "code_review",
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"detail": "Found 9/15 approved changesets -- score normalized to 6",
"points": 4.5,
"status": "partial",
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},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
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},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.2,
"status": "partial",
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},
{
"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",
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{
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{
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{
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{
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"status": "missed",
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{
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "signed_releases",
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"points": 0,
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{
"key": "token_permissions",
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{
"key": "vulnerabilities",
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{
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"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:requests_ntlm@1.3.0 runtime dependency closure — what installing the published package pulls in — 9 packages. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
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{
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{
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"advisories": 0,
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"unassessed_packages": 0,
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"direct_affected_packages": 0
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"points": 35,
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{
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"points": 25,
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{
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"status": "excluded",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"packages": [],
"red_flag": false,
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"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
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"components": [
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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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"red_flag": false,
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"Iran",
"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 13
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"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
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{
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"name": "AI Readiness",
"value": 39,
"weight": 0,
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"note": null,
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"agent_instruction_max_bytes": null
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{
"key": "agent_instructions",
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{
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"points": 0,
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{
"key": "legible_commit_history",
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"points": 25.1,
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{
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{
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"note": null,
"notes": [],
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"lockfiles": [],
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{
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"points": 0,
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{
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"points": 22,
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{
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{
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{
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"points": 0,
"status": "missed",
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{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "missed",
"details": [
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"params": {
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{
"key": "automated_maintenance",
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"points": 0,
"status": "missed",
"details": [
{
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{
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"largest_source_bytes": 17424,
"source_files_sampled": 10,
"oversized_source_files": 0
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"components": [
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"detail": "Python with type-check config (requests_ntlm/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
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"params": {
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"language": "Python"
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"max_points": 45
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{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/10 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
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"oversized": 0
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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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"warnings": [
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