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py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spending time on without restarting the program or modifying the code in any way. py-spy is extremely low overhead: it is written in Rust for speed and doesn't run in the same process as the profiled Python program. This means py-spy is safe to use against production Python code. py-spy works from the command line and takes either the PID of the program you want to sample from or the command...
Visualization tools to help developers analyze program execution
This is a research project aimed at providing tools to help developers capture and visualize what is actually happening when your program executes. And hopefully make debugging an easier, quicker and less painful process.
A collection of reporting utilities specific to The Grinder test tool. The tools consist of a reporting database and graphing utilites based upon jyplot and jFreechart written in jython.
The DTraceToolkit is a collection of over 200 useful documented scripts for analysis of system and process behaviour. It allows in-depth inspection without disturbance of the system.
log4j/log4net appenders and a supporting Eclipse RCP-based browser for viewing profiling information. The appenders operate either in-process or (to minimize overhead) remotely send their packets to a separate listener via UDP.