Factual package intelligence from PyPI
With dbt, data analysts and engineers can build analytics the way engineers build applications.
pip install dbt-core
PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<1.15,>=1.7.0<9.0,>=8.3.0>=1.3.46<2.0,>=1.24.5<2.0,>=1.37.5<3,>=2.0.0a4<=0.6,>=0.5.0<2.0,>=1.0.514<4,>=3.1.3<5.0,>=4.19.1<3.18,>=3.9<1.0,>=0.211.0The compact report shows 12 of 24 declarations. The interactive dependency graph loads the complete metadata.
dbt-core publishes 1 wheel and 1 source archive for version 1.12.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 341 releases with files. The first dated release is ; 53 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
4 historical releases are fully yanked in PyPI metadata.