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A simple IPython extension for monitoring memory usage of Jupyter notebook cells.

Project description

memprofiler

PyPI Binder

memprofiler is a simple extension for monitoring memory usage of Jupyter notebook cells.

Installation

It can be installed as a typical Python source package from PyPi using pip:

pip install memprofiler

Usage

A basic example of how to use this extension can be found in this interactive Jupyter notebook.

Reference

mprof_run

%%mprof_run [-i INTERVAL] [-p] profile_id

Run memory profiler during cell execution. (cell_magic)

  • positional arguments:

    • profile_id
      Profile identifier to label the results.
  • optional arguments:

    • -i INTERVAL, --interval INTERVAL
      Sampling period (in seconds), default 0.01.

    • -p, --plot
      Plot the memory profile.

mprof_plot

%mprof_plot [-t TITLE] profile_ids [profile_ids ...]

Plot memory profiler results. (line_magic)

  • positional arguments:
    • profile_ids
      Profile identifiers made by mprof_run. Supports regex.

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the BSD 3-Clause License. See LICENSE for more information.

Acknowledgements

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