tableau/hyper-api-samples erreicht einen Gesundheitsindex von 47 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Sustainability & Governance (65/100) ab, am schwächsten bei Engineering Quality (27/100). Zuletzt vor 131 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
47
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.
47
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.
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Release-Aktualität — letztes Release vor 2.222 Tagen
19.8/27
Release-Rhythmus — ein Release etwa alle 57,5 Tage
0/10
OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count
2
latest_release_tag
v0.0.11074
releases_from_tags
nein
days_since_latest_release
2.222
mean_days_between_releases
57,5
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): branch_protection, 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
4
affected_packages
1
assessed_packages
17
unassessed_packages
8
affected_by_severity
moderate 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. 17 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 8 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.
Bootstrap mit einem Befehl — Tableau-Supported/DotNet/Example.csproj, Tableau-Supported/Java/build.gradle, Tableau-Supported/Java/create-hyper-file-from-csv/build.gradle (Toolchain-Konvention, kein Task-Runner)
0/22
Automatisierte Tests
0/11
Lint-/Format-Konfiguration
0/11
Statische Typprüfung
0/10
Reproduzierbare Umgebung
0/10
Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
8/8
Automatisierte Wartung — 1 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
0/10
OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Could not fetch pypi package 'hyper_kernel' from its registry
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 79 ⇿
0Sterne
79Forks
1Releases
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 0Patch 1
Jeder Punkt umfasst 6 Tage.
OpenSSF Scorecard 4.4 / 10
4.4Gesamtwert
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 · 2026-07-27 00:07 UTC
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 1 direkte und 24 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
Registry
Paket
Version
Beziehung
NuGet
Microsoft.Extensions.CommandLineUtils
1.1.1
direkt
PyPI
boto3
1.13.16
indirekt
PyPI
botocore
1.16.16
indirekt
PyPI
filelock
3.0.12
indirekt
PyPI
gitpython
—
indirekt
PyPI
ipykernel
—
indirekt
PyPI
ipython
—
indirekt
PyPI
jupyter-client
—
indirekt
PyPI
pandas
—
indirekt
PyPI
pantab
1.1.0
indirekt
PyPI
pyyaml
5.4.1
indirekt
PyPI
tableau-tools
5.1.3
indirekt
PyPI
tableauhyperapi
—
indirekt
PyPI
tableauhyperapi
0.0.10899
indirekt
PyPI
tableauhyperapi
0.0.17537
indirekt
PyPI
tableauserverclient
—
indirekt
PyPI
tableauserverclient
0.10
indirekt
PyPI
tabulate
—
indirekt
PyPI
toml
0.10.2
indirekt
PyPI
types-filelock
0.1.3
indirekt
PyPI
types-futures
0.1.3
indirekt
PyPI
types-protobuf
0.1.11
indirekt
PyPI
types-requests
0.1.9
indirekt
PyPI
typing
3.7.4.3
indirekt
PyPI
typing-extensions
3.10.0.0
indirekt
Abhängigkeits-Advisories 1
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 17 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 1 tragen bekannte Advisories, davon 0 direkte. 8 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
Paket
Version
Beziehung
Schweregrad
Advisories
Behoben in
filelock
3.0.12
indirekt
mittel
4
3.20.3
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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"headline": "New sample: Create Hyper file from pandas DataFrame using Hyper API (…",
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"headline": "Cloud-DB extractor: Fix windows compatibility (#71)",
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"headline": "Remove Tableau copyright headers (#66)",
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"headline": "Add samples demonstrating Hyper's native S3 capabilities",
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"body": "With this commit we add samples from the Tableau Conference\nHands-on Training \"Use Hyper as your Cloud Lake Engine\" that\nshow you how Hyper can natively read CSV and parquet files that\nare stored on Amazon S3 without the need for external tools.",
"is_bot": false,
"headline": "Add samples demonstrating Hyper's native S3 capabilities",
"author_name": "Maximilian Osenberg",
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"body": "…ased on the Hyper API and Hyper Update REST API. (#64)\n\n* Adds an incremental refresh sample based on the Hyper Update REST API.\r\n\r\nAdds a sample demonstrating how to implement an incremental refresh based on the Hyper API and the Hyper Update REST API. The sample is based on the content the Hyper\n[…]\n2.\r\n\r\n* Minor: Added argparser to pass in arguments and minor rephrasing of the README file.\r\n\r\n* Added the OpenSkyAPI to the requirements.txt file and removed the instructions to manually install it.",
"is_bot": false,
"headline": "Adds a sample demonstrating how to implement an incremental refresh b…",
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"is_bot": false,
"headline": "removed the experimental_external_format_parquet parameter (#58)",
"author_name": "François P",
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