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memory_profiler 0.9

A module for monitoring memory usage of a python program

Latest Version: 0.52.0

Memory Profiler

This is a python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for python programs.


To install through easy_install or pip:

$ easy_install -U memory_profiler # pip install -U memory_profiler

To install from source, download the package, extract and type:

$ python install


The line-by-line profiler is used much in the same way of the line_profiler: you must first decorate the function you would like to profile with @profile:

def my_func():
    a = np.zeros((100, 100))
    b = np.zeros((1000, 1000))
    c = np.zeros((10000, 1000))
    return a, b, c

then execute the code passing the option “-m memory_profiler” to the python interpreter to load the memory_profiler module and print to stdout the line-by-line analysis. If the file name was, this would result in:

$ python -m memory_profiler

Output will follow:

Line #    Mem usage   Line Contents
     3                @profile
     4     14.19 MB   def my_func():
     5     14.27 MB       a = np.zeros((100, 100))
     6     21.91 MB       b = np.zeros((1000, 1000))
     7     98.20 MB       c = np.zeros((10000, 1000))
     8     98.20 MB       return a, b, c

Bugs & wishlist

Maybe also print the increment in memory consumption.


Latest sources are available from github:


This module was written by Fabian Pedregosa inspired by Robert Kern’s line profiler.

Tom added windows support and speed improvements via the psutil module.


Simplified BSD

File Type Py Version Uploaded on Size
memory_profiler-0.9.tar.gz (md5) Source 2012-05-03 4KB