From conda

Coming soon!

From PyPI

If you already have all the dependencies satisfied, then you can install the latest release from PyPI by using pip:

$ pip install pyrcel

From source code

To grab and build the latest bleeding-edge version of the model, you should use pip and point it to the source code repository on github:

$ pip install git+git://

This should automatically build the necessary Cython modules and export the code package to your normal package installation directory. If you wish to simply build the code and run it in place, clone the repository, navigate to it in a terminal, and invoke the build command by hand:

$ python build_ext --inplace

This should produce the compiled file in the model package. You can also install the code from the cloned source directory by invoking pip install from within it; this is useful if you’re updating or modifying the model, since you can install an “editable” package which points directly to the git-monitored code:

$ cd path/to/pyrcel/
$ pip install -e .


This code was originally written for Python 2.7, and then futurized to Python 3.3+ with hooks for backwards compatibility. By far, the simplest way to run this code is to grab a scientific python distribution, such as Anaconda. This code should work out-of-the box with almost all dependencies filled (exception being numerical solvers) on a recent version (1.2+) of this distribution. To facilitate this, conda environments for Python versions 2.7 and 3.5+ are provided in the pyrcel/ci directory.

Necessary dependencies


As of version 1.2.0, the model integration components are being re-written and only the CVODE interface is exposed. As such, Assimulo is temporarily a core and required dependency; in the future the other solvers will be re-enabled. You should first try to install Assimulo via conda

$ conda install -c conda-forge assimulo

since this will automatically take care of obtaining necessary compiled dependencies like sundials. However, for best results you may want to manually install Assimulo, since the conda-forge recipe may default to a sundials/OpenBLAS combination which could degare the performance of the model.

Numerical solver dependencies


A nose test-suite is under construction. To check that your model is configured and running correctly, you copy and run the notebook corresponding to the basic run example, or run the command-line interface version of the model with the pre-packed simple run case:

$ cd path/to/pyrcel/
$ ./run_parcel examples/simple.yml

Bugs / Suggestions

The code has an issue tracker on github and I strongly encourage you to note any problems with the model there, such as typos or weird behavior and results. Furthermore, I’m looking for ways to expand and extend the model, so if there is something you might wish to see added, please note it there or send me an e-mail. The code was written in such a way that it should be trivial to add physics in a modular fashion.