Simple data dependent workflows in Python


Keywords
Workflows, Scientific computing
License
Apache-2.0
Install
pip install parsl==0.6.0a0

Documentation

Parsl - Parallel Scripting Library

Apache Licence V2.0 Build status Documentation Status

Parsl is a parallel scripting library that enables easy parallelism and workflow design. The latest version available on PyPi is v0.6.0-a0.

QuickStart

Parsl is now available on PyPI, but first make sure you have Python3.5+

$ python3 --version

Install Parsl using pip:

$ pip3 install parsl

To run the Parsl tutorial notebooks you will need to install Jupyter:

$ pip3 install jupyter

Detailed information about setting up Jupyter with Python3.5 is available here

Note: By default, Parsl collects anonymous usage statistics for reporting and improvement purposes. To understand what stats are collected and to disable collection please refer to the usage tracking guide

Documentation

The complete parsl documentation is hosted here.

The Parsl tutorial is here and the same tutorial set hosted on live Jupyter notebooks are available here

For Developers

  1. Download Parsl:

    $ git clone https://github.com/Parsl/parsl
    
  2. Install:

    $ cd parsl
    $ python3 setup.py install
    
  3. Use Parsl!

Requirements

Parsl requires the following:

  • Python 3.5+
  • Jupyter (for running tutorial notebooks), with Python3.5+ kernel

For testing:

  • nose
  • coverage

For building documentation:

  • nbsphinx
  • sphinx
  • sphinx_rtd_theme

Contributing

We welcome contributions from the community. Please see our contributing guide.

Citation

If you use Parsl, please cite:

Babuji, Yadu, Brizius, Alison, Chard, Kyle, Foster, Ian, Katz, Daniel S., Wilde, Michael, & Wozniak, Justin. (2017, August 30). Introducing Parsl: A Python Parallel Scripting Library. Zenodo. https://doi.org/10.5281/zenodo.853492