HANDBOOK: BI-as-Code with Streamlit – a free, no-gate guide for flexible dashboards

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Hi Streamlit community!

I spend most of my days building dashboards, data apps and AI tools in Streamlit. Thanks to AI coding helpers like Claude Code and Cursor, writing BI in Python has become so friction-less that it now feels easier—and far more flexible—than drag-and-drop GUI tools. While documenting that journey, I set myself a clear goal: if you hand this handbook to an absolute beginner, they should be able to get Streamlit running and start building BI dashboards on their own.

:backhand_index_pointing_right: You can read the full web handbook here (no sign-up required):
https://www.squadbase.dev/en/ebooks/streamlit-bi-overview

What’s inside

  • Why “BI-as-Code” beats drag-and-drop dashboards
  • Fast environment setup—perfect for absolute beginners
  • How you can build dashboards with an AI coding agent
  • How to connect to your own data sources (Snowflake, Postgres, …)
  • How to choose the right graphics library for your use-case (Altair, Plotly, matplotlib)

Looking ahead
I’m exploring how AI × Streamlit can make BI-as-Code the easiest path for entire teams, and I’ll keep sharing tips on rapid iteration, deployment patterns and organizational roll-outs.
Your feedback or questions are very welcome!

Thanks for reading, and happy building!
— Naoto

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Thanks @Naoto Great guide to set up streamlit as a BI tool.
Using Streamlit as a BI tool in the companies would be a game changer

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Thanks! I’m with you—AI-powered coding like Claude Code + Streamlit makes spinning up dashboards way easier and way more flexible than GUI BI tools. Right now I’m laser-focused on making the setup, hosting, and auth flow dead simple so teams can dive in without any friction.

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Fantastic guide, lots of things we’ve been thinking about as well on the team re BI dashboards and AI coding!

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