pyHyp depends heavily on other packages to do much of the underlying “heavy lifting”. The following external components are required for pyHyp:

  • CGNS Libarary

  • PETSc

See the MDO Lab installation guide here for the supported versions and installation instructions.


A working MPI is not strictly required. However, in most cases PETSc should be configured with MPI.


pyHyp follows the standard MDO Lab build procedure. To start, first clone the repo. For stability we recommend checking out a tagged release.

Next, find a configuration file close to your current setup in config/defaults and copy it to config/ For example:

cp config/defaults/ config/

If you are a beginner user installing the packages on a Linux desktop, you should use the versions of the configuration files. The versions are usually used on clusters.

Once you have copied the config file, compile pyHyp by running:


If everything was successful, the following lines will be printed to the screen (near the end):

Testing if module hyp can be imported...
Module hyp was successfully imported.

Finally, install the Python interface with:

pip install .

Testing Your Installation

To test your installation, you can run the regression tests. Running the tests requires additional dependencies. Check if you have these installed by running:

pip install .[testing]

Once you have the necessary dependencies, download the reference mesh files:


Then, in the root directory, run:

testflo -v