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kmike/memory_profiler

Analysis updated 2026-07-17 · repo last pushed 2013-03-06

★ 1PythonAudience · developerComplexity · 2/5DormantSetup · easy

TLDR

A Python tool that shows exactly how much RAM your code uses line by line, making memory hogs easy to spot.

Mindmap

mindmap
  root((repo))
    What it does
      Line-by-line memory tracking
      Reports memory changes
      Debugger on threshold
    Tech stack
      Python
      psutil
      Jupyter
    Use cases
      Optimize memory usage
      Find memory leaks
      Profile large datasets
    Audience
      Data scientists
      Backend engineers
      Developers

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What do people build with it?

USE CASE 1

Find which lines of code in a Python script use the most memory.

USE CASE 2

Discover a program is accidentally loading an entire file into memory instead of processing it in chunks.

USE CASE 3

Profile memory usage of data-heavy scripts interactively inside Jupyter or IPython.

USE CASE 4

Set a memory threshold that drops you into a debugger to hunt down leaks.

What is it built with?

PythonpsutilJupyterIPython

How does it compare?

kmike/memory_profiler0xallam/posthog0xustaz/streamgate
Stars111
LanguagePythonPythonPython
Last pushed2013-03-062026-03-26—
MaintenanceDormantMaintained—
Setup difficultyeasymoderatehard
Complexity2/53/54/5
Audiencedeveloperpm founderdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Pure Python with no hard dependencies, psutil is recommended for better accuracy.

Copy-paste prompts

Prompt 1
Show me how to add the memory_profiler decorator to a Python function and run it.
Prompt 2
Help me interpret the line-by-line memory output from memory_profiler on my script.
Prompt 3
How do I use memory_profiler inside a Jupyter notebook to track RAM usage?
Prompt 4
Explain how to set a memory threshold that triggers a debugger with memory_profiler.

Frequently asked questions

What is memory_profiler?

A Python tool that shows exactly how much RAM your code uses line by line, making memory hogs easy to spot.

What language is memory_profiler written in?

Mainly Python. The stack also includes Python, psutil, Jupyter.

Is memory_profiler actively maintained?

Dormant — no commits in 2+ years (last push 2013-03-06).

How hard is memory_profiler to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is memory_profiler for?

Mainly developer.

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