The Git-for-Data Platform

Bauplan is a data platform built so agents and people can work on real data without breaking it, and without managing any infrastructure.

Every change happens on a branch, every run is code you can review, and nothing reaches your production tables until you say so.

Start here →

An agent creates a zero-copy branch and runs its pipeline there. You review the changes, and production changes only when you merge.

AI Agents

Use AI Agents to build pipelines, explore data, and manage your data with MCP Server and Skills.

Learn more →

Get Started

Install Bauplan

Set up the CLI and Python SDK and connect your API key.

Quick start

Create a data branch, run a pipeline, and merge it to main.

Examples

End-to-end projects you can clone and run.

Reference

Every CLI command and Python SDK method.

Go Deeper

Git for Data

Branch, commit, and roll back your data like code.

Core Concepts

Projects, models, pipelines, and Iceberg tables.

Common Workflows

Patterns for scheduling, parameters, and conflicts.

Integrations

Use Bauplan with orchestrators, notebooks, and BI tools.

Watch

Git-for-Data and AI Agents on Production Data

Import from object storage on a branch, merge to main, and roll back a bad write.

Getting started with the Bauplan CLI and SDK

Install, set your API key, and work with your first data branch.

Platform primitives: Python, Iceberg, and Git-for-Data

Write a Python model, query Iceberg tables, and version a pipeline run.

More walkthroughs and webinars on the Bauplan YouTube channel.