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kushalkolar

opened on Apr 11, 2024

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notes from meeting with @apasarkar

• we should put a few bullet points on the readme that quickly explains what fpl allows you to do

  • rapid prototyping, realtime analysis
  • easy API
  • ship with depedent packages as a standalone distributable - ex: pyinstaller, etc. (this is a medium term goal right now)

• somewhere in the docs we should put a comparison with other libraries, pyqtgraph, vispy, napari, bokeh, matplotlib

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1. apasarkar commented on Apr 11, 2024

   

   apasarkar

   on Apr 11, 2024

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   I think rendering speed is also important, esp as a function of data size
2. kushalkolar commented on Jul 19, 2024

   

   kushalkolar

   on Jul 19, 2024

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   I think some points on what fastplotlib is not would also be useful

   • fastplotlib is not related to matplotlib in any way. These are two completely different libraries with their own APIs
     • the fastplotlib way of doing things is different from matplotlib since fastplotlib is an interactive plotting library that runs on the GPU using WGPU. Nonetheless, we want fastplotlib to be easy to use and learn. Hint: bring in your numpy and array intuitions when using fastplotlib rather than any matplotlib intuitions. If you know how to manipulate numpy arrays, you already understand half of fastplotlib! 🎉 We recommend looking at our examples gallery. If you have any questions please do not hesitate posting an issue or dicussion forum post 😄
   • fastplotlib is not meant for creating static publication figures, there are other libraries that are well suited for this task
   • fastplotlib is a plotting library, not a data handling or data loading library. These tasks are outside the scope of this library.
3. clewis7 commented on Jul 23, 2024

   

   clewis7

   on Jul 23, 2024

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   I change my mind, I think we should do an FAQ page and put this info here
4. clewis7

   closed this as completedin #559on Sep 3, 2024

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