memory-profiler · PyPI
Nov 15, 2022 · memory_profiler supports different memory tracking backends including: ‘psutil’, ‘psutil_pss’, ‘psutil_uss’, ‘posix’, ‘tracemalloc’. If no specific backend is specified the default is to use …
GitHub - pythonprofilers/memory_profiler: Monitor Memory ...
Use mprof to generate a full memory usage report of your executable and to plot it. The plot would be something like this:
Memory profiling in Python using memory_profiler - GeeksforGeeks
Aug 18, 2025 · It helps track how much memory different parts of code are consuming. In this article, Python package memory-profiler will be used to analyze memory usage of functions step by step.
How do I profile memory usage in Python? - Stack Overflow
Feb 16, 2009 · IMHO best answer in 2019 is memory_profiler. 'memory_profiler' is no longer maintained. Python 3.4 includes a new module: tracemalloc. It provides detailed statistics about which code is …
Introduction to Memory Profiling in Python - DataCamp
Jun 21, 2024 · memory_profiler is a powerful tool in Python that provides detailed insight into your code's memory usage. It works by providing a granular, line-by-line breakdown of memory usage, …
Memory Profiler in Python: Understanding, Using, and Best ...
Apr 11, 2025 · memory_profiler is a valuable tool for Python developers to understand and optimize the memory usage of their code. By using the decorator and command-line syntax, developers can …
Python memory_profiler - memory usage monitoring - ZetCode
Feb 15, 2025 · The memory_profiler library is used to monitor and profile the memory usage of a Python program. It helps developers track memory usage and identify memory leaks by providing detailed …