congratulations to the release team for the new version of the Einstein Toolkit!

Looking forward, I would like to propose the inclusion of kuibit in the Einstein Toolkit.

kuibit is a Python package for post-processing simulations. The tool comes with 

several features for analysis and visualization. For some of the most common

operations (e.g., 2D plot of a grid variable, extraction of gravitational waves, ...),

users can directly obtain the result without writing any code. The number of such

ready-made scripts grows with every release of kuibit. For everything else, kuibit 

has a large number of features (https://sbozzolo.github.io/kuibit/features.html)

that can be used in scripts or notebooks. 

kuibit is designed to be user-friendly: it has rich documentation (https://sbozzolo.github.io/kuibit/),

examples ready to be used, and tutorials. kuibit is also designed to be developer- and 

maintainer- friendly: it is thoroughly commented, and it implements several continuous 

integration pipelines to test, document, and publish the package automatically.

kuibit is largely inspired by Wolfgang Kastaun's PyCactus. kuibit shares the same

overall design with PyCactus, and in some cases, the implementation details too. 

kuibit would not exist without PyCactus.

As far as I know, 5-10 people are actively using kuibit as their main tool to interface

with the output of simulations. The feedback I got is overwhelmingly positive: 

users that are new to the Einstein Toolkit praise the simplicity of use and the comfort

of working in Python; experienced users claim that kuibit allows them to focus on 

the science instead of the technical details.

The next release of the Einstein Toolkit is far in the future, so there is time to incorporate

any feedback/suggestion that the community might have. I will be happy to work towards

the goal of including kuibit in the Einstein Toolkit.

kuibit repo: https://github.com/Sbozzolo/kuibit

Best,

Gabriele