giampaolo/psutil

Cross-platform lib for process and system monitoring in Python

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Summary Information

Updated 28 minutes ago
Added to GitGenius on September 5th, 2026
Created on May 23rd, 2014
Open Issues & Pull Requests: 257 (+0)
GitHub issues: Enabled
Number of forks: 1,509
Total Stargazers: 11,272 (+0)
Total Subscribers: 226 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.1 hours
Mean response time: 63.4 days
90th percentile: 81.1 days
Tracked items: 1,344

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 78% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 3% of issues opened in the past year have been closed. Three people close 93% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 180
New in 7 days: 0
Closed in 7 days: 4
Avg open age: 1,680 days
Stale 30+ days: 72
Stale 90+ days: 21

Recent activity

Opened in 7 days: 0
Closed in 7 days: 4
Comments in 7 days: 0
Events in 7 days: 1

Top labels

  • bug (864)
  • linux (396)
  • windows (323)
  • imported (318)
  • new-api (263)
  • badexc (218)
  • macos (143)
  • build-fail (117)

Detailed Description

psutil is a cross-platform library for retrieving information about running processes and system utilization in Python.

The library solves the problem of accessing system and process metrics across different operating systems through a unified Python interface. Rather than requiring platform-specific code or shell command parsing, psutil provides direct access to CPU, memory, disk, network, and sensor information. It implements functionality equivalent to UNIX command-line tools such as ps, top, free, iotop, netstat, and ifconfig, making it suitable for system monitoring, profiling, limiting process resources, and managing running processes.

The tool supports Linux, Windows, macOS, FreeBSD, OpenBSD, NetBSD, Sun Solaris, and AIX. Developers should choose psutil when building cross-platform monitoring applications or when they need programmatic access to system metrics without parsing shell commands. It is particularly valuable for applications that must run consistently across multiple operating systems without conditional logic for each platform.

The project maintains active test coverage across all supported platforms including Linux, macOS, Windows, and BSD variants through automated workflows. Documentation is actively maintained and deployed through automated processes. The project sustains a public adoption page documenting known users and maintains a blog for updates and announcements.