Was sind die Hauptfunktionen von giampaolo/psutil?

Die Hauptfunktionen von giampaolo/psutil sind: System Monitoring Libraries, Process Management Tools, System Resource Monitors, System Resource APIs, Cross-Platform Abstraction Layers, Process Lifecycle Managers, DevOps and Infrastructure, DevOps Tools.

Welche Open-Source-Alternativen gibt es zu giampaolo/psutil?

Open-Source-Alternativen zu giampaolo/psutil sind unter anderem: nicolargo/glances — Glances is a cross-platform system monitoring tool designed to track real-time resource usage and hardware health… fabric/fabric — Fabric is a command-line interface and framework designed to integrate artificial intelligence reasoning into… ansible/ansible — Ansible is an agentless infrastructure automation engine designed to manage remote servers and network devices. It… aws/chalice — Chalice is a framework for building and deploying serverless applications and REST APIs on AWS Lambda using Python. It… boto/boto3 — Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud… borgbackup/borg — Borg is a command-line backup utility designed for deduplicated data archiving and secure storage. It functions by…

Psutil

Diese Bibliothek bietet eine programmatische Schnittstelle zur Überwachung von Systemressourcen und zur Verwaltung von Prozesslebenszyklen. Sie fungiert als plattformübergreifendes Dienstprogramm, das Echtzeit-Metriken zur Hardwareauslastung abruft und die Inspektion und Steuerung laufender Systemprozesse ermöglicht.

Das Projekt normalisiert unterschiedliche Datenstrukturen von Betriebssystemen in eine einheitliche Schnittstelle und ermöglicht so eine konsistente Interaktion mit Informationen auf Kernelebene, unabhängig von der Host-Umgebung. Durch die Verwendung kompilierter Erweiterungen zur direkten Schnittstellenbildung mit nativen System-APIs bietet sie einen konsistenten Weg, auf Leistungsdaten zuzugreifen und Aufgabenstatus zu verwalten, für die sonst plattformspezifische Kommandozeilen-Dienstprogramme erforderlich wären.

Die Bibliothek deckt ein breites Spektrum an Systemverwaltungs- und Leistungsprofilierungsaufgaben ab, einschließlich der Sammlung granularer Daten zu Prozessoren, Speicher, Festplatten und Netzwerkschnittstellen. Sie ist darauf ausgelegt, in Skripte integriert zu werden, um die Überwachung der Hardwaregesundheit und die Verwaltung der Anwendungsstabilität zu automatisieren.

Features

System Monitoring Libraries - Provides a cross-platform library for retrieving real-time system metrics and managing process lifecycles.
Process Management Tools - Acts as a programmatic utility for inspecting, monitoring, and controlling running system processes across platforms.
System Resource Monitors - Retrieves real-time metrics for processors, memory, disks, and network interfaces to track hardware health.
System Resource APIs - Exposes hardware performance data including CPU, memory, disk, and network information through a unified API.
Cross-Platform Abstraction Layers - Normalizes disparate operating system data structures into a unified interface for consistent cross-platform interaction.
Process Lifecycle Managers - Enables inspection and control of running system processes, including resource usage and network connections.
DevOps and Infrastructure - Cross-platform process and system monitoring.
DevOps Tools - Listed in the “DevOps Tools” section of the Awesome Python awesome list.
Infrastructure and Cloud - Cross-platform process and system utilities.
Systemüberwachung - Cross-platform library for system and process monitoring.
System Monitoring And Profiling - Cross-platform library for retrieving system and process information.
Process Lifecycle Managers - Wraps native system calls to provide programmatic control over process lifecycles and signaling.
Kernel-Level Operations - Queries low-level system structures and virtual file systems to aggregate real-time hardware and process metrics.
Task Automation Scripts - Automates system administration tasks by replacing manual command-line utilities with programmable scripts.
Python-C Interfaces - Provides a high-performance bridge between high-level code and native system APIs using compiled extensions.
Application Performance Profiling - Collects granular data on resource consumption and process behavior to identify performance bottlenecks.

Star-Verlauf

giampaolopsutil

Name: giampaolo/psutil
Author: giampaolo

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11,089 Stars1,463 ForksPythonbsd-3-clause8 Aufrufe

Psutil

Features

System Monitoring Libraries - Provides a cross-platform library for retrieving real-time system metrics and managing process lifecycles.
Process Management Tools - Acts as a programmatic utility for inspecting, monitoring, and controlling running system processes across platforms.
System Resource Monitors - Retrieves real-time metrics for processors, memory, disks, and network interfaces to track hardware health.
System Resource APIs - Exposes hardware performance data including CPU, memory, disk, and network information through a unified API.
Cross-Platform Abstraction Layers - Normalizes disparate operating system data structures into a unified interface for consistent cross-platform interaction.
Process Lifecycle Managers - Enables inspection and control of running system processes, including resource usage and network connections.
DevOps and Infrastructure - Cross-platform process and system monitoring.
DevOps Tools - Listed in the “DevOps Tools” section of the Awesome Python awesome list.
Infrastructure and Cloud - Cross-platform process and system utilities.
Systemüberwachung - Cross-platform library for system and process monitoring.
System Monitoring And Profiling - Cross-platform library for retrieving system and process information.
Process Lifecycle Managers - Wraps native system calls to provide programmatic control over process lifecycles and signaling.
Kernel-Level Operations - Queries low-level system structures and virtual file systems to aggregate real-time hardware and process metrics.
Task Automation Scripts - Automates system administration tasks by replacing manual command-line utilities with programmable scripts.
Python-C Interfaces - Provides a high-performance bridge between high-level code and native system APIs using compiled extensions.
Application Performance Profiling - Collects granular data on resource consumption and process behavior to identify performance bottlenecks.

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Häufig gestellte Fragen

Was macht giampaolo/psutil?