Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (
Help us improve Python packaging - Donate today!

Fast graphical exploration and visualisation for linux kernel traces

Project Description

pyTimechart is aimed at helping kernel developer to browse into large scale traces.

Based on very powerful and efficient plotting library Chaco, pytimechart UI feels very smooth.

Based on the python language, its plugin based architecture allow developer to very quickly implement parsing and representation of new trace-event function-trace or trace_printk

Kernel traces are parsed as trace-events, and organised into processes, each process is displayed in its own line. The x-axis representing the time, process is represented as intervals when it is scheduled in the system.

pyTimechart processes are not only process in the common unix sense, it can be any group of activities in the system. Thus pytimechart display activities of:

  • cpuidle states
  • cpufreq states
  • runtime_pm
  • irqs
  • tasklets
  • works
  • timers
  • kernel threads
  • user process
  • whatever there is a plugin for

pyTimechart also represent graphically the wakeup events between two process.

Release History

Release History

History Node


History Node


This version
History Node


History Node


History Node


History Node


Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pytimechart-0.9.3.tar.gz (59.5 kB) Copy SHA256 Checksum SHA256 Source Jul 9, 2011 (75.2 kB) Copy SHA256 Checksum SHA256 Source Jul 9, 2011

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting