Analyzer py-on-cpu

# Name

py-on-cpu - Python CPU Flame Graph

This analyzer profiles CPU usage in Python applications by capturing stack traces during code execution. It samples the call stacks at regular intervals to identify which Python functions consume the most CPU time. The analyzer generates flame graphs that visualize the CPU time distribution across function calls, helping identify performance bottlenecks and hot code paths in Python applications.

# Resource Category

CPU.

# Application Type & Technical Stack

• Python

# Command Line Syntax

The analyzer can be invoked directly on the command-line via the orxray utility from the openresty-xray-cli software package.

Alternatively, the analyzer can also be invoked manually or automatically on the web console UI of OpenResty XRay (like on the Advanced web page).

# PID is the target process PID.
orxray analyzer run py-on-cpu -p PID

# trace a shell command directly
orxray analyzer run py-on-cpu -c SHELL_CMD

# PGID is the process group ID or any process's PID within the target process
# group.
orxray analyzer run py-on-cpu -p -PGID

# trace any processes started from the specified executable path.
orxray analyzer run py-on-cpu --exe /path/to/exe/file

# Tracing Multiple Processes

Supported.

# Output Formats

• Flame Graphs

# Author

The OpenResty Inc. Team.

# Copyright

Copyright (C) by OpenResty Inc. All rights reserved.