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MEMRAY

NAME
DESCRIPTION
positional arguments:
options:
SEE ALSO

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.