graphic-walker VS pgress

[2] https://github.com/Kanaries/graphic-walker/issues/330

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

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?

+ 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 interesting ideas that we think the next generation of data analysis software should be, so there might be many features that not well organized to be a united app. Tell me which feature you prefer and which is not. Looking forward for your ideas and advice.

I know you said you *dont* want a tableau like interface, but in case you do this might be a cool open source project to check out: 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.

You may try to use and modify based on the OpenSource Graphic Walker: https://github.com/Kanaries/graphic-walker

Graphic Walker is designed to be easy to embed in other applications as a React component. Check out the code here: https://github.com/Kanaries/graphic-walker

Hey Marco, I'll take a look - filters theoretically should be fast, when you create a new filter, it simply reads does a `select * from table limit 1` to get column names

I wasn't sure whether you could query DBs directly from the browser but looks like you can! (https://github.com/alexanderguy/pgress) - will add it to roadmap!

I had fun with a similar concept: just access the database from the browser using nginx/TLS/lua: https://github.com/alexanderguy/pgress

If you're good with your authenticated users directly talking to the DB (which there are plenty of uses for), it's a great way to get your data into the browser.