Hi clij, clEsperanto and OpenCL-based image processing geeks,
following a Christmas tradition, I’m releasing the first alpha-testing release of pyclesperanto. It is the upcoming sibling of CLIJ in python land. You can find its full API reference of about 200 GPU-accelerated image processing functions here. Examples and details are available on its repository:
One major goal of the project is building a strong bridge between Fiji island and Napari island across the biological image data science ocean. Therefore, I’ve updated the earlier introduced python code generators available in Fiji. As a bonus, there is now a graphical user interface available for napari. Both can turn image data flow graphs designed on screen into Jython / Python code that is compatible to Python 3 and the Jython 2.7 dialect in Fiji. No need to change code when switching platforms. clEsperanto 
Of course, also from the napari interface, you can export Python Jupyter notebooks:
Installation
Online installation instructions are available for the image processing library pyclesperanto_prototype and the user interface napari-pyclesperanto-assistant. In very short:
pip install napari-pyclesperanto-assistant
You can then start the new napari-based user interface like this:
python -m napari_pyclesperanto_assistant https://samples.fiji.sc/blobs.png
Call for feedback
I would be happy about feedback! As I just recently started distributing python packages, I would be happy to hear if installation works painless on end-users computers. Bug reports and suggestions for improvement are also very welcome: either here in the forum or as github issue.
Happy Holidays! 
Cheers,
Robert