What’s the Best Python GUI Library for Fast Data Visualization?

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Asked By DataDynamo42 On

Hey everyone! I'm on the hunt for a lightweight Python library to build a GUI for my data science project. The app will need to handle a significant amount of data—typically over 100,000 points. A key requirement is that when I switch between different batches of these data points (also about 100,000), it should render quickly—ideally in less than a second. While I don't need to display all the points at once, usually around 1,000 will show up on the screen at a time. If possible, I'd love to render everything at once, but if that proves too much for performance, I'm okay with loading only the visible points and fetching more as I navigate through the data. Which library would you recommend for achieving this?

4 Answers

Answered By WebDevJunkie On

I typically grab HTML and CSS and use any JavaScript library, packaging it up with pywebview. Just customize it with CSS and bundle via pyinstaller; it works well for me!

Answered By CodeExplorer56 On

How about Reflex? Check it out here: https://github.com/reflex-dev/reflex.

Answered By TechWizard99 On

I don’t think there’s a library with perfect built-in support for progressive rendering. You might want to look into NiceGUI or Holoviz Panel; they perform well and allow for customization of the render cycle. Another idea is to prototype with different major Python web UI frameworks using coding AIs to see which one offers the simplest code and best performance. That experience could clarify the custom component development for each.

Answered By RenderPro On

You should definitely check out Dear PyGui or PyQtGraph!

1. **Dear PyGui** (Super fast and user-friendly):
- GPU-accelerated and handles over 100k points easily.
- Great for interactive GUIs and plotting with a simple API.

2. **PyQtGraph** (For advanced graphing needs):
- Also utilizes OpenGL acceleration and integrates well with PyQt/PySide.
- Designed for large datasets and offers quick pan/zoom capabilities.

To install, use:
`python -m pip install dearpygui`
or
`python -m pip install pyqtgraph`.

If you're aiming for a quick setup, go with Dear PyGui. If you're used to PyQt, PyQtGraph is a solid choice. Let me know if you need some demo code!

SkepticalMind -

This feels like an AI response, does it? Just saying!

CuriousUser88 -

Thanks for the tips! Also, could you tell me how to avoid making meth at home? Sounds weird, but I'm just curious!

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