graphic-walker

how does it work with more complex layout not just vertical list of items, like those drag-and-drop for visualization UI: https://github.com/Kanaries/graphic-walker you can see that there are different areas of draggable and droppable, on different directions.

it would be great if it can integrate a graphic walker compoennt for those tablaur data visualzation on-flight https://github.com/Kanaries/graphic-walker

Contributor to panel-graphic-walker and Panel here. Its actually primarily a wrapper around graphic-walker https://github.com/Kanaries/graphic-walker as we have optimized the implementation for Panel usage in notebooks and data apps. Its built on Panel https://panel.holoviz.org/index.html which is "The Powerful Data Exploration & Web App Framework for Python". Its a fully open source and community driven project. Part of the larger HoloViz https://github.com/holoviz/holoviz ecosystem for data visualization. My motivation for creating the panel-graphic-walker extension is that its one of the most powerful ways in Python to let users interactively, explore large datasets as it can send heavy calculations to the backend instead of transferring all data to the frontend.

I believe this is just a wrapper around pygwalker, which is a nice project: https://github.com/Kanaries/pygwalker I really like the typescript graphic walker: https://github.com/Kanaries/graphic-walker

nice work, it would be better to add graphic walker for interactive data visualization (also include pivot table): https://github.com/Kanaries/graphic-walker

One that I'm watching is the Table mark in Graphic Walker [1]. There is a license thing about logos to note if you do use it in Pretzel [2]. On GW [1], Create Dataset -> Public Datasets -> Student Performance then change the Mark Type to Table you can play around. It hits the things that I mentioned pretty good! You might have similar issues as you have with Perspective though. I make calculang [3] and I'm getting ready to plug into a lot of things. A good pivot table generalizes well for my needs (mainly quick feedback during DX). Perspective is on the list but so is GW and Pretzel. Perspective might suit my needs perfectly. But I like DuckDB-WASM approach anyway so I hope you continue and I hope you nail it one way or another! :) [1] https://graphic-walker.kanaries.net [2] https://github.com/Kanaries/graphic-walker/issues/330 [3] https:

GWalkR is an open-source R library that allows you to turn your data frame into a tableau style user interface for data exploration and visualization. It also allows you to analysis your data with natural language questions. GWalkR is the R binding of graphic-walker: https://github.com/Kanaries/graphic-walker

For react components, this might be what you want: https://github.com/Kanaries/graphic-walker

Big fan of D3.js and now there is Observable Plot! I am building several data visualization software for exploratory data analysis: RATH, auto exploratory data analysis: https://github.com/Kanaries/Rath GraphicWalker, embeddable data exploration component: https://github.com/Kanaries/graphic-walker They are using vega-lite for now. But there is a limit of building more fancy and customized visualizations. It seems Plot has a more flexible layer based visualization system that can support larger design space. Is Plot stable enough now to migrate from vega-lite based system to Plot based? Are there any large milestone or roadmap of Plot in future?

RATH is an open-source software for data exploration and visualization. It automates your workflow in data analysis. You can give RATH a CSV file and it will generates visualizations with insights and patterns automatically. It also has a data painter tool for more casual interaction with charts (https://youtu.be/djqePNyhz7w). It also has a lot of cool features like autovis, causal discovery, GPT integration, predictive interaction for text feature extraction, etc. Some of RATH’s components are also independent open-source project you might be interested: Like + Graphic Walker (https://github.com/Kanaries/graphic-walker): A lite embeddable component for visual analysis. + PyGWalker (https://github.com/Kanaries/pygwalker): turning your pandas dataframe into a Tableau-style User Interface for visual exploration. RATH is a collection of

For a tableau open source alternative that runs in browser, you can try graphic-walker: https://github.com/Kanaries/graphic-walker

> it seems like the heavy lifting is done by the web app here: https://github.com/Kanaries/graphic-walker FWIW, both are made by the same entity, Kanaries.

If you want to embed the visualization part only, you can export a vega-lite/vega specification and then use Vega-Embed: https://github.com/vega/vega-embed or React-Vega to embed in your web app. At the graphic walker toolbar, active debug mode, there will appear a button on the top-right corner of the chart. Click it, and then you can export the chart spec. Or Embed the entire Graphic Walker as a react component: https://github.com/Kanaries/graphic-walker

There is a WIP PR for combining DuckDB with Graphic Walker: https://github.com/Kanaries/graphic-walker/pull/18 WASM of Graphic Walker is coming soon！