A development tool to 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 integrates 3 previously separate modules into a single, comprehensive profiling tool. The asizeof module provides basic size information for one or several Python objects, module muppy is used for on-line monitoring of a Python application and module heapmonitor provides off-line analysis of the lifetime of selected Python objects.
Pympler is written entirely in Python, with no dependencies other than standard Python modules and libraries. All Pympler modules work with Python 2.4, 2.5 and 2.6. Module asizeof has also been tested with Python 2.2, 2.3 and 3.0 on a number of Linux distros, MacOS X (10.4.11 Intel and 10.3.9 PPC), Solaris 10 (Opteron) and Windows XP with 32-bit and several 64-bit Python builds.
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