SQLMesh/sqlmesh

Quick Overview — What is this tool?

Scalable and efficient data transformation framework - backwards compatible with dbt.

This is the project's own description from GitHub — we show it as-is rather than inventing details.

What Can You Do With It?

• Download and run the complete source code on your own computer or server.
• Study how it works — every line of code is public.
• Use it in your own projects, subject to its license terms (see cost section below).
• Its GitHub topics describe its main areas: dataengineeringdataopsdbteltetlpythonsqltransformation

Who Is This For?

This project is listed under Data Pipelines in Data & Analytics, a category made for analysts, businesses, researchers and data-curious users.

Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)

Is It Free?

The source code is released under the Apache-2.0 license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.

Is It Actively Maintained?

Activity level: Very active · Last code update: 01 Nov 2026 · Created: 23 Sep 2022 · Open issues: 305

How to Get Started

1. Open the repository on GitHub and read its README — that is the official, verified setup guide.
2. To download the full code, generate this repository's public link below and run the clone command in a terminal:

Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗

We never publish installation steps we have not verified — the README above is the source of truth.

Repository Statistics

⭐ 3342 stars · 🍴 484 forks · 🐛 305 open issues · 💻 Language: Python · 📄 License: Apache-2.0 · Default branch: main