dbt-labs/dbt
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 18 days ago, with 381 contributors on GitHub.
The biggest single-day gain in the last year, +189 stars on Sep 17, coincided with release v2.0.4.
Use Cases & Benefits
- Enables data analysts and engineers to transform data using software engineering practices through SQL select statements.
- Simplifies managing, visualizing, and testing data transformation workflows in data warehouses with a model-based approach.
- Use for building modular, maintainable data transformation pipelines in modern data warehouses.
- Use for ensuring data quality and consistency by integrating automated testing into ELT workflows.
- Use for collaborating across analytics and engineering teams using a shared, version-controlled transformation framework.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.
These select statements, or "models", form a dbt project. Models frequently build on top of one another – dbt makes it easy to manage relationships between models, and visualize these relationships, as well as assure the quality of your transformations through testing.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+498 stars over 84 days across 11 snapshot days; best day +189 on Sep 17.
Forks
2.7K+162
Open issues
1.8K+341
Compared with peers in Analytics
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| openobserve/openobserve | 22.8K | +235 | 40 | today |
| algorithm-visualizer/algorithm-visualizer | 49.4K | +130 | 30 | — |
| itsPLK/ps5-payload-manager | 715 | +33 | 38 | 16 days ago |
| ant-design/ant-design-pro | 38.9K | — | 56 | 80 days ago |
| Canner/WrenAI | 18.1K | — | 65 | 7 days ago |
| dbt-labs/dbt | 14.1K | — | 59 | 18 days ago |
| Category median | 22.8K | +130 | 40 | — |
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