Provided by: python3-memray_1.15.0+dfsg-1_amd64 

NAME
memray - Memory profiler for Python applications
DESCRIPTION
usage: memray [-h] [-v] [-V] {run,flamegraph,table,live,tree,parse,summary,stats,transform,attach,detach} ... Memory profiler for Python applications Run `memray run` to generate a memory profile report, then use a reporter command such as `memray flamegraph` or `memray table` to convert the results into HTML. Example: $ python3 -m memray run -o output.bin my_script.py $ python3 -m memray flamegraph output.bin positional arguments: {run,flamegraph,table,live,tree,parse,summary,stats,transform,attach,detach} Mode of operation run Run the specified application and track memory usage flamegraph Generate an HTML flame graph for peak memory usage table Generate an HTML table with all records in the peak memory usage live Remotely monitor allocations in a text-based interface tree Generate a tree view in the terminal for peak memory usage parse Debug a results file by parsing and printing each record in it summary Generate a terminal-based summary report of the functions that allocate most memory stats Generate high level stats of the memory usage in the terminal transform Generate reports files in different formats attach Begin tracking allocations in an already-started process detach End the tracking started by a previous ``memray attach`` call options: -h, --help show this help message and exit -v, --verbose Increase verbosity. Option is additive and can be specified up to 3 times -V, --version Displays the current version of Memray Please submit feedback, ideas, and bug reports by filing a new issue at https://github.com/bloomberg/memray/issues
SEE ALSO
The full documentation for memray is maintained as a Texinfo manual. If the info and memray programs are properly installed at your site, the command info memray should give you access to the complete manual. memray 1.13.0 June 2024 MEMRAY(1)