A Python library for system-level module coupling, execution, and analysis.
What is Cortix?
- Cortix is a Python library for system-level module coupling, execution, and analysis of dynamical system models that exchange time-dependent data.
- Cortix takes as input a collection of computational modules and provides an environment for the coupling of these modules into a single simulation.
- Cortix supports:
- Communication between modules
- Time synchronization
- Data visualization
The basic concepts in Cortix are the creation of an
Application and a
Installation: Cortix can be installed on any Unix-based environment
Installing via PyPI
pip install --user cortix
Installing from source
- Clone this repository to install the current version of Cortix in PyPI.
git clone https://github.com/dpploy/cortix.git
- Install the required dependencies listed in requirements.txt
pip install --user -r cortix/requirements.txt
cortix's parent path to your
Note: you may want to add this line to your
.bashrc in order for it to be persistent
Testing is facilitated through PyTest. To test your Cortix install, run the droplet example from the python shell
>> from cortix.examples.console_run import droplet_run as droplet >> droplet.run()
Cortix requires a set of input files, a driver, and a configuration file. See
examples/console_run for working examples of Cortix simulations. Cortix will output logging information to
stdout by default, extensive logging of runtime information is also stored in the
<work_dir> directory specified in the
cortix-config.xml input file.
- Valmor F. de Almeida: firstname.lastname@example.org
- Taha M. Azzaoui: email@example.com
- Seamus D. Gallagher: firstname.lastname@example.org
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