measure, monitor and analyze the memory behavior of Python objects
Pympler is a development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application. By pympling a Python application, detailed insight in the size and the lifetime of Python objects can be obtained. Undesirable or unexpected runtime behavior like memory bloat and other pymples can easily be identified.
Pympler is a development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application. By pympling a Python application, detailed insight in the size and the lifetime of Python objects can be obtained. Undesirable or unexpected runtime behavior like memory bloat and other pymples can easily be identified.
To install py310-pympler, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install py310-pympler
To see what files were installed by py310-pympler, run:
port contents py310-pympler
To later upgrade py310-pympler, run:
sudo port selfupdate && sudo port upgrade py310-pympler
Reporting an issue on MacPorts Trac
The MacPorts Project uses a system called Trac to file tickets to report bugs and enhancement requests.
Though anyone may search Trac for tickets, you must have a GitHub account in order to login to Trac to create tickets.