# 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.

Repository: https://github.com/dbt-labs/dbt-core
Canonical: https://ross.abutalabs.com/products/dbt-core
Homepage: https://getdbt.com
Language: Rust
License: Apache-2.0
License Family: permissive
Topics: dbt-viewpoint, slack, pypa, data-modeling, business-intelligence, analytics, elt
Last push: 2026-08-26T23:49:28+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 3829, "days_push": 7, "days_rel": 13, "gap_med": 6.0, "n_releases_24m": 67}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 13696, forks 2526 (observed 2026-08-28T04:11:04.605145+00:00)

## What it is
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
- artifact type: cli-tool
- maturity: experimental
- function: etl, developer-tools, testing, documentation, data-science
- domain: analytics, databases, developer-tools, big-data
- platform: cli, windows, cross-platform
- tags: data-transformation, sql, analytics-engineering, elt, data-modeling, warehouse, dag, rust-rewrite, fusion-engine, data-engineering, macos, linux

## Member repositories
- dbt-labs/dbt-core (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:04.605145+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:13:06.571920+00:00, confidence not recorded.
  - readme: https://github.com/dbt-labs/dbt-core (fetched 2026-08-28T04:11:04.605145+00:00, sha 6cac4b3c3652)
  - homepage: https://getdbt.com (fetched 2026-08-29T08:07:39.565548+00:00, sha 09e79a4f1fad)
  - site_page: https://docs.getdbt.com/guides/fusion?step=1 (fetched 2026-08-29T08:07:39.570136+00:00, sha 42bfc95ecd12)
  - site_page: https://docs.getdbt.com/ (fetched 2026-08-29T08:07:39.576296+00:00, sha afb07d0336a7)
  - site_page: https://docs.getdbt.com/docs/supported-data-platforms (fetched 2026-08-29T08:07:39.578213+00:00, sha 4e402d4565d3)
  - site_page: https://docs.getdbt.com/docs/install-dbt-extension (fetched 2026-08-29T08:07:39.579959+00:00, sha 483007d9428f)
  - site_page: https://www.getdbt.com/dbt-labs/about-us (fetched 2026-08-29T08:07:39.581796+00:00, sha 26494b1195ab)
  - site_page: https://www.getdbt.com/pricing (fetched 2026-08-29T08:07:39.572466+00:00, sha 69dfac23f4fe)
  - site_page: https://www.getdbt.com/product/integrations (fetched 2026-08-29T08:07:39.574272+00:00, sha facafbb0e2ab)
- Data as of 2026-08-30T08:39:29.467469+00:00.