https://github.com/denis-ryzhkov/mem_top

Shows top suspects for memory leaks in your Python program.
https://github.com/denis-ryzhkov/mem_top

Last synced: 3 months ago
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Shows top suspects for memory leaks in your Python program.

• Host: GitHub
• URL: https://github.com/denis-ryzhkov/mem_top
• Owner: denis-ryzhkov
• License: mit
• Created: 2014-05-26T18:13:31.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2022-07-13T15:38:17.000Z (over 2 years ago)
• Last Synced: 2024-11-15T03:39:00.363Z (3 months ago)
• Language: Python
• Size: 12.7 KB
• Stars: 77
• Watchers: 2
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-python-testing - mem_top - shows top suspects for memory leaks in your Python program. (Memory Management)

README

        
# mem_top

Shows top suspects for memory leaks in your Python program.

## Usage

    pip install mem_top

    from mem_top import mem_top

    # From time to time:

    logging.debug(mem_top())

    # print(mem_top())

    # Notice which counters keep increasing over time - they are the suspects.

## Counters

`mem_top` iterates all objects found in memory and calculates:

* refs - number of direct references from this object to other objects, like keys and values of dict

    * E.g. a dict `{("some", "complex", "key"): "value"}` will have `refs: 2` - 1 ref for key, 1 ref for value

    * Its key `("some", "complex", "key")` will have `refs: 3` - 1 ref per item

* bytes - size of this object in bytes

* types - number of objects of this type still kept in memory after garbage collection

## Real life example

    refs:

    144997   defaultdict(, { {'.:..............:.......':  {...

    1578     {...

    968      {...

    968      {...

    968      {...

    767      [...

    726      {...

    608      {...

    types:

    292499  

    217912  

    72702   

    72702   

    12340     

MIT License