dbt-labs/dbt-core
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 99
- Release rhythm 86
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 6.0
- age_days: 3829
- days_rel: 13
- days_push: 7
- n_releases_24m: 67
Adoption not part of the score
13696 stars · 2526 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
dbt Core is an open-source command-line tool that lets data analysts and engineers transform data in warehouses using SQL select statements ('models') with software-engineering practices like version control, testing, and documentation. The v2.0 version on main is a ground-up Rust rewrite (the Fusion engine foundation) currently in beta, offering dramatically faster parsing/compilation, stricter language specs, Parquet artifacts, and a single self-contained binary.
Use cases
- transform raw warehouse tables into modeled tables and views with SQL
- build and manage a DAG of interdependent data models
- add data quality tests to SQL transformations
- generate documentation and lineage for a data project
- run dbt projects from the CLI without a Python runtime
- compile dbt models for Snowflake, BigQuery, Databricks, or Redshift
When to choose
- you want fast, single-binary dbt with no Python dependency management
- you are starting a new dbt project and want the stricter v2 language spec and Parquet artifacts
- your team applies software engineering practices (testing, docs, version control) to analytics SQL
- you work across macOS, Linux, or Windows x86-64 with supported adapters
When to avoid
- you need the stable, battle-tested Python dbt Core v1 - use the 1.latest branch instead
- you rely on adapters or features not yet supported in the v2 beta (e.g. Windows ARM, some community adapters)
- you need guaranteed API or on-disk format stability, since v2 behavior may change before stable release
Facets
cli-tool · maturity experimental
etl developer-tools testing documentation data-science analytics databases developer-tools big-data cli windows cross-platform data-transformation sql analytics-engineering elt data-modeling warehouse dag rust-rewrite fusion-engine data-engineering macos linux
9 sources
- readme: https://github.com/dbt-labs/dbt-core · fetched 2026-08-28 · 6cac4b3c3652
- homepage: https://getdbt.com · fetched 2026-08-29 · 09e79a4f1fad
- site_page: https://docs.getdbt.com/guides/fusion?step=1 · fetched 2026-08-29 · 42bfc95ecd12
- site_page: https://docs.getdbt.com/ · fetched 2026-08-29 · afb07d0336a7
- site_page: https://docs.getdbt.com/docs/supported-data-platforms · fetched 2026-08-29 · 4e402d4565d3
- site_page: https://docs.getdbt.com/docs/install-dbt-extension · fetched 2026-08-29 · 483007d9428f
- site_page: https://www.getdbt.com/dbt-labs/about-us · fetched 2026-08-29 · 26494b1195ab
- site_page: https://www.getdbt.com/pricing · fetched 2026-08-29 · 69dfac23f4fe
- site_page: https://www.getdbt.com/product/integrations · fetched 2026-08-29 · facafbb0e2ab
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| dbt-labs/dbt-core | main | 95 |
For agents
markdown · JSON · MCP: product_card(name="dbt-labs/dbt-core")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem