https://github.com/mbdevpl/hpctoolkit_dataframe

Operate on HPCtoolkit XML database files as pandas DataFrames.
https://github.com/mbdevpl/hpctoolkit_dataframe

high-performance-computing hpc performance profiling

Last synced: 8 months ago
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Operate on HPCtoolkit XML database files as pandas DataFrames.

• Host: GitHub
• URL: https://github.com/mbdevpl/hpctoolkit_dataframe
• Owner: mbdevpl
• License: apache-2.0
• Created: 2018-10-03T04:26:05.000Z (over 7 years ago)
• Default Branch: main
• Last Pushed: 2024-03-15T23:46:04.000Z (almost 2 years ago)
• Last Synced: 2025-05-25T05:46:31.112Z (8 months ago)
• Topics: high-performance-computing, hpc, performance, profiling
• Language: Jupyter Notebook
• Homepage:
• Size: 1.54 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

Awesome Lists containing this project

README

          
.. role:: bash(code)

    :language: bash

.. role:: python(code)

    :language: python

====================

HPCtoolkit DataFrame

====================

Operate on HPCtoolkit XML database files as pandas DataFrames.

.. image:: https://img.shields.io/pypi/v/hpctoolkit_dataframe.svg

    :target: https://pypi.org/project/hpctoolkit-dataframe

    :alt: package version from PyPI

.. image:: https://github.com/mbdevpl/hpctoolkit_dataframe/actions/workflows/python.yml/badge.svg?branch=main

    :target: https://github.com/mbdevpl/hpctoolkit_dataframe/actions

    :alt: build status from GitHub

.. image:: https://codecov.io/gh/mbdevpl/hpctoolkit_dataframe/branch/main/graph/badge.svg

    :target: https://codecov.io/gh/mbdevpl/hpctoolkit_dataframe

    :alt: test coverage from Codecov

.. image:: https://api.codacy.com/project/badge/Grade/fff0555067d34db08d22df30305dee1b

    :target: https://app.codacy.com/gh/mbdevpl/hpctoolkit_dataframe

    :alt: grade from Codacy

.. image:: https://img.shields.io/github/license/mbdevpl/hpctoolkit_dataframe.svg

    :target: NOTICE

    :alt: license

Database files generated by HPCtoolkit can be read by the GUI-based tools provided by developers of

HPCtoolkit. However, programmatic access and analysis of such files is troublesome.

This library provides an HPCtoolkitDataFrame object, which is essentially a pandas DataFrame

and can be queried and sliced as easily as any DataFrame. But it extends this functionality with

methods for analysis and visualisation of performance data.

.. contents::

    :backlinks: none

Usage

=====

Please see ``_ for details.

Installation

============

For simplest installation use :bash:`pip`:

.. code:: bash

    pip3 install hpctoolkit_dataframe

Requirements

------------

Python version 3.8 or later.

Python libraries as specified in ``_.

Building and running tests additionally requires packages listed in ``_.

Tested on Linux, macOS and Windows.

Links

=====

-   HPCtoolkit: http://hpctoolkit.org/

-   `pandas.DataFrame`: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html