dbt-core

PyPI v1.11.8

21,461,401 weekly downloads · 22 Dependencies

Recently publishedMany dependencies (20+)

Source data as of:

Summary

With dbt, data analysts and engineers can build analytics the way engineers build applications.

Install pip install dbt-core

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 21,461,401 Source: PyPI (Python Package Index)
Releases 324 Last release: 2026-04-08 Source: PyPI (Python Package Index)
Dependencies 22 Source: PyPI (Python Package Index)

Description

With dbt, data analysts and engineers can build analytics the way engineers build applications.

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
dbt-core
Registry
PyPI
Version
1.11.8
Weekly downloads
21,461,401 (weekly)
Dependencies
22: agate, click, daff, dbt-adapters, dbt-common, dbt-extractor, dbt-protos, dbt-semantic-interfaces, jinja2, jsonschema, mashumaro, networkx, packaging, pathspec, protobuf, pydantic, pytz, pyyaml, requests, snowplow-tracker, sqlparse, typing-extensions
Releases
324
Last release
2026-04-08
First published
2019-02-14
Repository
https://github.com/dbt-labs/dbt-core.git

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 79.2 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 9.7 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 48.1 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources