This documenation is only for the Darshan Python bindings, for information on the runtime and utility components refer to Darshan Runtime and Utilities Documentation.

PyDarshan Documentation

Python utilities to interact with Darshan log records of HPC applications. PyDarshan requires darshan-utils version 3.3 or higher to be installed.


  • Darshan Report Object for common interactive analysis tasks

  • Low-level CFFI bindings for efficient access to darshan log files

  • Plots typically found in the darshan reports (matplotlib)

  • Bundled with darshan-utils while allowing site’s darshan-utils to take precedence


For examples and Jupyter notebooks to get started with pydarshan make sure to check out the examples subdirectory.

A brief examples showing some of the basic functionality is the following:

import darshan

# Open darshan log
report = darshan.DarshanReport('example.darshan', read_all=False)

# Load some report data
# or fetch all

# ...
# Generate summaries for currently loaded data
# Note: aggregations are still experimental and have to be activated:


To install in most cases the following will work:

pip install --user darshan

For alternative installation instructions and installation from source refer to <docs/install.rst>


Targets for various tests are included in the makefile. To run the normal test suite use:

make test

Or to test against different version of Python using Tox:

make test-all

Coverage tests can be performed using:

make coverage

Conformance to PEPs can be tested using flake8 via:

make lint


Documentation for the python bindings is generated seperatedly from the darshan-utils C library in the interest of using Sphinx. After installing the developement requirements using pip install -r requirements_dev.txt the documentation can be build using make as follows:

pip install -r requirements_dev.txt
make docs

File List

  • darshan::

    core darshan python module code

  • devel::

    scripts for building python wheel

  • docs::

    markdown documentation used by sphinx to auto-generate HTML RTD style doc

  • examples::

    Jupyter notebooks showing pydarshan usage with log files

  • tests::

    pydarshan specific test cases

  • requirements.txt::

    pip requirement file for minimum set of depednencies

  • requirements_dev.txt::

    pip requirement file for depednencies needed to run development tools


    python file for building/generating pydarshan package

  • setup.cfg::

    input for


    input files for package

  • tox.ini::

    input for tox which runs the automated testing

API Reference:

Indices and tables