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Merge pull request #609 from tengguozheng/patch-2
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Update README.md
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@lmeyerov
lmeyerov authored Oct 30, 2024
2 parents e8ca2a5 + a14f9b8 commit ca4a80d
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Expand Up @@ -110,7 +110,7 @@ df = pd.DataFrame({
g1 = graphistry.edges(df, 'src', 'dst')

# Override styling defaults
g1_styled = g1.encode_edge_color('friendship', as_continuous=True, ['blue', 'red'])
g1_styled = g1.encode_edge_color('friendship', ['blue', 'red'], as_continuous=True)

# Connect: Free GPU accounts and self-hosting @ graphistry.com/get-started
graphistry.register(api=3, username='your_username', password='your_password')
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2 comments on commit ca4a80d

@tengguozheng
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Thank you for the timely correction. Will this project later include a data ETL processing module? This could include, but not be limited to, a drag-and-drop canvas interface allowing users to customize data flows.

@lmeyerov
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Accelerated & streamlined ETL is very much a focus, eg, part of what gfql needs to wrangle, and what .featurize() does for data prep for ML operators

It's an interesting question what to do for easier interfaces:

  • we have been improving docs in prep for making an LLM text2code converter that does pygraphistry, gfql, etc better. OpenAI has already been crawling out examples, so appears to be working somewhat.

  • ... and via louie.ai, a conversational & point-and-click editor. It includes marble diagrams for flows, so it is somewhere between jupyter and nifi

Bringing ETL deeper in-tool for the UI is interesting. We are redoing the filter pipeline to sinplify in-viz pipelines, and hopefully then making the pipelines dynamic. At that point, in-viz ETL/connectors makes a lot of sense! Louie.ai will be doing the same from the outside in a more notebook flow.

Hope that helps , lmk if thoughts!

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