To try Parsl now (without installing any code) experiment with our hosted tutorial notebooks.


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

>>> python3 --version

You’ll also need gcc to be installed in order to run Parsl.

$ gcc --version

Parsl has been tested on Linux and MacOS.


As of Parsl v0.7.2 we are switching to an opt-in model for anonymous usage tracking. To help support the Parsl project we request that users opt-in where possible by setting PARSL_TRACKING=true in their environment or by setting usage_tracking=True in the configuration object (parsl.config.Config). To read more about what information is collected and how it is used see Usage statistics collection.

Installation using Pip

While pip and pip3 can be used to install Parsl we suggest the following approach for reliable installation when many Python environments are avaialble.

  1. Install Parsl:

    $ python3 -m pip install parsl

To update a previously installed parsl to a newer version, use: python3 -m pip install -U parsl

  1. Install Jupyter for Tutorial notebooks:

    $ python3 -m pip install jupyter


For more detailed info on setting up Jupyter with Python3.5 go here

Installation using Conda

  1. Install Conda and set up python3.6 following the instructions here:

    $ conda create --name parsl_py36 python=3.6
    $ source activate parsl_py36
  2. Install Parsl:

    $ python3 -m pip install parsl
    $ conda config --add channels conda-forge
    $ conda install parsl

To update a previously installed parsl to a newer version, use: python3 -m pip install -U parsl

Installation of Optional Packages

Parsl supports several optional components that require additional module installations. For example support for Amazon Web Services, Extreme Scale Executor etc require additional packages that can be installed easily via pip using a pip extras option.

Here’s a list of the components and their extras option:

  • Amazon Web Services (Cloud) : aws
  • Google Cloud : google_cloud
  • Kubernetes : kubernetes
  • Extreme Scale Executor (Supercomputing) : extreme_scale
  • Logging monitoring data to a database: monitoring
  • Jetstream (NSF Cloud) : jetstream

Optional extras can be installed using the following syntax:

$ python3 -m pip install parsl[<optional_package1>, <optional_package2>]

For Developers

  1. Download Parsl:

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

    $ cd parsl
    $ pip install .
    ( To install specific extra options from the source :)
    $ pip install .[<optional_pacakge1>...]
  3. Use Parsl!


Parsl requires the following:

  • Python 3.5+

For testing:

  • nose
  • coverage

For building documentation:

  • nbsphinx
  • sphinx
  • sphinx_rtd_theme