Discover · GitHub · Dbt Core↑ +18 today
Standardized transformation processes in the data warehouse
The data transformation tool (dbt-core) enables data analysts and engineers to perform data transformation using methods similar to software development processes. It standardizes analytical workflows by integrating version control and testing processes into data warehouses.
Updates
- September 9, 2026: Stars 13,791 → 13,793, latest release v1.12.4 (September 8, 2026).
- September 8, 2026: Stars 13,673 → 13,791, latest release v1.11.15 (September 8, 2026).
- August 21, 2026: Stars 13,672 → 13,673, latest release v1.12.3 (August 21, 2026).
- August 20, 2026: Stars 13,646 → 13,672, latest release v1.11.14 (August 20, 2026).
What you get
- Data transformation with software development practices
- Relationship management between data models
- Data quality control with automated tests
Installation
Using pip (PyPI)
pip install dbt-coreRunning it
Run project
dbt runGetting started
- Official source →
Related dictionary terms
Who it is forIt is for data analysts and engineers who want to transform and manage data in the data warehouse with the software development discipline.
LicenseApache-2.0
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-28: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.