Hello Jupyter discourse community,
For the sake of context, PyQtGraph is a plotting library that aims to bridge the gap between numpy and the Qt framework. Where the library really accelerates in is in interactivity and performance; while it can be used to generate publication type plots, there are other options in the PyData ecosystem that fill that need far better.
Over the past few years, we have been clearing out our PR queue, and now it is manageable enough that we would like input from our user-base with regards to what functionality should be added to the library, and what barriers exist making the library difficult to adopt in the first place.
While talking about this subject with tacaswell (not tagging as new discord users can only tag 2 people in a post), he suggested I reach out to @carreau who in turns suggested I get in touch with @isabela-pf as she was involved with creating the previous Jupyter survey.
@carreau mentioned that there will be an upcoming NumFocus survey coming out in 2022, but I think we would like to create and publish the survey sometime in the next month or two. In the future, if we can bundle our survey with the Scientific Python survey, we would like to take advantage of that (given that there is likely significant overlap been our user-base and the recipients of the scientific python survey).
With that, I welcome any input/lessons-learned sort of thing regarding the creation of a user-survey.
Thanks for your time!