When would you reach for a different library instead of fastplotlib?
How does this deal with really large datasets? Are you doing any type of downsampling?
How does this work with pandas? I didn't see it as a requirement in setup.py
Does this work in Jupyter notebooks? What about marimo?
> When would you reach for a different library instead of fastplotlib?
Use the best tool for your usecase, we're focused on GPU accelerated interactive visualization. Our use cases broadly are developing ML algorithms, user-end ML Ops tools, and looking live data off of live scientific instruments.
> How does this deal with really large datasets? Are you doing any type of downsampling?
Depends on your hardware, see https://fastplotlib.org/ver/dev/user_guide/faq.html#do-i-nee...
> How does this work with pandas? I didn't see it as a requirement in setup.py
If you pass in numpy-like types that use the buffer protocol it should work, we also want to support direct dataframe input in the future: https://github.com/fastplotlib/fastplotlib/issues/395
There are more low-level priorities in the meantime.
> Does this work in Jupyter notebooks? What about marimo?
Jupyter yes via juptyer-rfb, see our repo: https://github.com/fastplotlib/fastplotlib?tab=readme-ov-fil...
I’ve been using kst-plot for live streaming data from instruments and interactive plots. It’s fast and I haven’t found any limit for the amount of data it can plot. Development has basically stopped - the product is done, feature complete, and works perfectly! It is used by European and Canadian space agencies. Maybe it will be interesting to you to see how they have solved or approached some of the same problems you have solved or will also solve !