README.md

Awesome BI-as-Code

Why this is awesome?

A Dashboard is a software asset. It must be tested with the best software engineering practices, be versioned and exist in testing, staging and production environment during its development.

Drag and drop tools were designed with a user interface-first approach to lower the technical entry barrear. However this can lead to higher technical debit and risks the quality of the data product that is being delivered.

Every day more tools are emerging to solve this problems, and they are truly awesome!

Dashboard full stack web app frameworks

Back-end & Front-end all-in-one web applications.

• Streamlit
• Panel
• Shiny
• Dash
• Solara
• Taipy
• H2O Wave
• Voila
• Vizro

Dashboard static web app frameworks

Full Front-end serverless BI reporting dashboards.

• Evidence.dev
• Observable Framework

Web assembly powered wep app frameworks and tools

Tools where the Back-end is "replaced" with Web assembly.

• Stlite
• Jupyter Lite

Dashboard ui components

Front-end components.

• TremorUI

Data Exploration Tools

Notebook like exploration tools.

• Jupyter Project
• Observable HQ

Data Transformation Tools

Analytics engineering data transformation tools.

• dbt
• DuckDB

Story telling tools

Tell histories graphically, with animated charts or not and share it.

• Vizzu
• VizHub

Data Semantic Layer

Centralize all your data founts into a unique api for your Front-end/BI tools.

• Cube.dev

AI powered

Text-to-SQL, Text-to-Plot, Text-to-DataFrame like tools.

• Pandas AI
• Vanna AI
• Vizro AI

AI Frameworks

• Langchain
• Dspy
• Llama index

AI Observability

• Arize AI - Phoenix
• Langfuse

AI as SQL

• EvaDB
• MindsDB

Articles

Some articles to give you context.

• THE FUTURE OF BI: EXPLORING THE IMPACT OF BI-AS-CODE TOOLS WITH DUCKDB
• Data Analysis Is a Form of Software Engineering
• Nubank - Scaling data analytics with software engineering best practices