pymemtrace 0.3.1

Python memory tracing.

pymemtrace provides tools for tracking and understanding Python memory usage at different levels, at different granularities and with different runtime costs.

Full documentation: https://pymemtrace.readthedocs.io

pymemtrace Tools

The tools provided by pymemtrace are:

process_tree

A command line tool that shows the total memory usage of a process and its child processes at regular time intervals. It can log this data to a JSON file for later analysis. See some process_tree examples

process

A very lightweight way of logging the total memory usage of a single process at regular time intervals. It can plot memory over time with plotting programs such as gnuplot. See some process examples

cPyMemTrace

This module, written in C, provides real time logging of Python and C actions:

• pymemtrace.cPyMemTrace.Profile is a memory tracer written in C that can report total memory usage for every function call/return for both C and Python sections. This is more suitable for logging C code, for example Python’s C extensions.

• pymemtrace.cPyMemTrace.Trace is a memory tracer written in C that can report total memory usage for every function call/return/line for Python sections. This is more suitable for logging pure Python code.

• With Python 3.13+ pymemtrace.cPyMemTrace.ReferenceTracing can report every object allocation and de-allocation with Reference Tracing.

See some cPyMemTrace examples and a technical note on cPyMemTrace.

DTrace

There are a number of D scripts that can trace the low level malloc() and free() system calls and report how much memory was allocated and by whom. See some DTrace examples and a technical note on DTrace.

trace_malloc

A convenience wrapper around the Python standard library tracemalloc module. This can report Python memory usage by module and line compensating for the cost of tracemalloc. This can take memory snapshots before and after code blocks and show the change on memory caused by that code. See some trace_malloc examples

debug_malloc_stats

Awrapper around the sys._debugmallocstats function that can take snapshots of memory before and after code execution and report the significant differences of the Python small object allocator. See some debug_malloc_stats examples

Tool Characteristics

Each tool can be characterised by:

• Memory Granularity: In how much detail is a memory change is observed. An example of coarse memory granularity is measuring the Resident Set Size which is normally in chunks of 4096 bytes. An example of fine memory granularity is recording every malloc() and free().

• Execution Granularity: In how much code detail is the memory change observed. An example of coarse execution granularity is measuring the memory usage every second. An example of fine execution granularity is recording the memory usage every Python line.

• Memory Cost: How much extra memory the tool needs.

• Execution Cost: How much the execution time is increased.

Clearly there are trade-offs between these depending on the problem you are trying to solve.

Tool Characteristics

Tool	Memory Granularity	Execution Granularity	Memory Cost	Execution Cost
process_tree	RSS (total Python and C memory).	Regular time intervals.	Near zero.	Near zero.
process	RSS (total Python and C memory).	Regular time intervals.	Near zero.	Near zero.
cPyMemTrace	RSS (total Python and C memory).	Per Python line, Python function and C function call. Per object allocation/de-allocation.	Near zero.	x10 to x20.
DTrace	Every malloc() and free().	Per function call and return.	Minimal.	x90 to x100.
trace_malloc	Every Python object.	Per Python line, per function call.	Significant but compensated.	x900 for small objects, x6 for large objects.
debug_malloc_stats	Python memory pool.	Snapshots the CPython memory pool either side of a block of code.	Minimal.	x2000+ for small objects, x12 for large objects.

Licence

Python memory tracing.

• Free software: MIT license

• Documentation: https://pymemtrace.readthedocs.io.

• Project: https://github.com/paulross/pymemtrace.

Credits

Phil Smith (AHL) with whom a casual lunch time chat lead to the creation of an earlier, but quite different implementation, of cPyMemTrace in pure Python.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.3.1 (2026-03-23)

• cPyMemTrace:

  • Add decorator for pymemtrace.process.

  • pymemtrace.process can now summarise JSON in the log to stdout.

  • Add decorators for Python functions for Profile, Trace and ReferenceTracing.

  • Fix a SIGSEGV when bad keyword arguments were passed to cPyMemTrace.ReferenceTracing.

0.3.0 (2026-03-19)

• Add process-tree.py for logging a process and its children.

• cPyMemTrace:

  • Add Reference Tracing (Python 3.13+) that can record every object allocation or de-allocation.

  • Add an option to log to a specific file.

  • Add an API write_message_to_log() to inject text into the log file.

  • Better structure of the log file format.

  • Define the log file format.

  • Add debug exploration code with debug_cPyMemtrace().

  • Fix stacking pop() issue with trace/profile functions with linked list of tTraceFileWrapperLinkedList.

• Add support for Python 3.14

• Remove support for Python 3.7

• Supported Python versions are: 3.8, 3.9, 3.10, 3.11, 3.12, 3.13, 3.14

• Development Status :: 5 - Production/Stable

0.2.0 (2024-11-17)

• cPyMemTrace:

  • Add P/T, stack depth and python version to log file name, example: "20241107_195847_62264_P_0_PY3.13.0b3.log"

  • Add stacking of trace/profile functions with linked list of tTraceFileWrapperLinkedList.

  • Add an option to log to a specific file.

  • Add an API write_to_log() to inject text into the log file.

  • Add an optional message to the log file in cPyMemTrace.

  • Add Python API to get log file being written to by cPyMemTrace.

  • Bug fixes in cPyMemTrace.c

  • Safety fix for file path name lengths.

  • Fix for log files where '#' was being concatenated.

0.1.7 (2024-09-12)

• Minor fix for a single test.

0.1.6 (2024-09-11)

• Add support for Python versions 3.12, 3.13. Now supports Python versions 3.7, 3.8, 3.9, 3.10, 3.11, 3.12, 3.13.

0.1.5 (2023-06-21)

• Add support for Python versions 3.10, 3.11. Now supports Python versions 3.7, 3.8, 3.9, 3.10, 3.11.

0.1.4 (2022-03-19)

• Fix Linux build.

0.1.3 (2022-03-17)

• Fix some tests.

0.1.2 (2022-03-17)

• Fix source distribution that had missing headers.

0.1.1 (2020-11-17)

• Add cPyMemTrace the C level profiler.

• Add DTrace scripts for low level tracing.

• Add debug_malloc_stats the wrapper around sys._debugmallocstats.

• Add process.py from the TotalDepth project.

• Add redirect_stdout for debug_malloc_stats.

• Add trace_malloc, a wrapper around the tracemalloc module.

• Includes extensive documentation and performance measurement.

• First release on PyPI.

0.1.0 (2017-12-04)

• Initial idea and implementation, never released.