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Comments (9)

 avatar commented on April 29, 2024 2

+1

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IloBe avatar IloBe commented on April 29, 2024 1

Hi all,
customers using plotly apps would love this enhancement and data science teams as well.
Thanks for your great library,
Ilona

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IloBe avatar IloBe commented on April 29, 2024 1

@ObservedObserver
To my opinion, with Plotly Dash you can do much more than visual exploration. It is fast and easy to build a whole Web-application with a lot of different features.

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seqyuan avatar seqyuan commented on April 29, 2024

+1

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Stephen451 avatar Stephen451 commented on April 29, 2024

Same here, it'd be super useful

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DavMelchi avatar DavMelchi commented on April 29, 2024

And allow to export plotly code... That will be awesome! 👌

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ObservedObserver avatar ObservedObserver commented on April 29, 2024

Thoughts update:

I do believe that allowing graphic-walker/pygwalker to support multiple charts lib is a great idea. Technically, we need to implement a parser layer to transform graphic-walker DSL into other chart code/specification. It's a cool engineering abstract. I will be happy to implement it.

But, I am still not sure why people need a different chart library for visual exploration. I don't find there is much benefit of ploty than vega/vega-lite. Hope someone can share your demands or insights here.

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samatix avatar samatix commented on April 29, 2024

@ObservedObserver , thanks for checking this out. As @IloBe mentioned, the use case is the same as Streamlit. The purpose is not to use Plotly for the charts but more to embed Pygwalker in a Dash (plotly) app (see examples here).

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ObservedObserver avatar ObservedObserver commented on April 29, 2024

Update

Hi, everyone. Now you can use pygwalker as a component in Plotly Dash, check this document: Use PyGWalker with Plotly Dash

For hosting pygwalker as a web app (or dashboard), you can also use:

  1. Streamlit: https://docs.kanaries.net/pygwalker/use-pygwalker-with-streamlit
  2. Gradio: How to Use PyGWalker with Gradio
  3. shiny-python: How to Integrate PyGWalker with Shiny-Python

Or even flask or django if you are familiar with web development.

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