Rath VS supabase

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?

By gaining knowledge of the Business Intelligence once the information is captured from all areas in the business, you can set strategies and define what are the strengths and weaknesses of the business.

I am also working on an Awesome Open Source project named: RATH. Check it out on GitHub!

I'm considering https://github.com/Kanaries/Rath, which seems to be an OSS version of Tableau. Has anyone used it for this type of thing?

Ah, there’s a really nice profiler implemented in one of their other projects here (AGPLv3): https://github.com/Kanaries/Rath/tree/master/packages/rath-c...

There’s a lot of really nice features in this other tool, the author’s thought of everything: https://github.com/Kanaries/Rath

Don't forget to check out my GitHub project:https://github.com/Kanaries/Rath We are also having a website for RATH now!

RATH is an Open Source Automated Data Analysis and Visualization tool that can help you uncover insights and patterns in your data quickly and efficiently. Check out RATH Source Code on GitHub and Free RATH Playground.

Sign up for SupaBase: Head over to SupaBase and sign up. Create a new workspace and project with your preferred names.

Setting up Supabase Create a new Supabase project, and get the connection string for the database from settings > database.

Supabase (start for free)

Built with Supabase, Astro, Unreal Speech, Stable Diffusion, Replicate, Metropolitan Museum of Art

Supabase will be used for storing article data in the database and the cover image of the article in storage. Chakra UI will be used to provide style to the elements. By using both, we can build the blog with ease.

For AutoRepurpose, I opted for Supabase as the backbone of the backend. It has reliably supported Penelope AI, which garnered over 15k users in 2022 without any issues.

Semantic search demo

1. Create a new Supabase project: Visit Supabase and create a new project.

Supabase positions itself as the "open source Firebase alternative." It was founded in 2020 and is a developer-friendly serverless database platform that supports over 20 frameworks, including popular tools like Next.js, React, Nuxt, Svelte, Flutter, and Vue.

You can find the full application code as a Python Poetry project on GitHub.