dbt
The dbt Cloud CLI - an ELT tool for running SQL transformations and data models in dbt Cloud. For more documentation on these commands, visit: docs.getdbt.com
Decision gist · record as of 2026-08-14
Yes, with conditions. dbt is a mature, actively maintained tool (Production/Stable status, recent release) with no known vulnerabilities and broad Python version support. However, the high install friction and unclear license require upfront investigation. If you're building data transformation workflows and have dbt Cloud access, the CLI is worth the setup cost. If you're evaluating dbt for the first time, clarify the license terms and test the installation in a non-critical environment first.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- High install friction; requires setuptools.
- Verify dbt Cloud account access and authentication setup before running commands.
- High install friction reported.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before adopting this package in a commercial or restricted environment.
last release 2026-06-18 (57 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 147,225 downloads/mo, #11,072 on PyPI
Alternatives
Verify before relying
pip install dbt
from dbt.cli.main import main
main(['--version'])- Whether the high install friction is due to compiled dependencies, large download size, or complex configuration steps.
- What the unclear license treatment means in practice—whether it defaults to a permissive, restrictive, or proprietary model.
- Whether the package requires additional system dependencies beyond Python and setuptools.
What it is and what it does
dbt is a command-line tool that lets data analysts and engineers transform data using SQL select statements, which dbt converts into tables and views in a data warehouse. The dbt Cloud CLI specifically allows you to run these transformations against a dbt Cloud development environment from your local machine, bridging your terminal with dbt Cloud's hosted infrastructure.
The package handles the plumbing of data model dependencies, testing, and documentation generation. You write SQL models that build on one another; dbt manages the relationships between them and ensures data quality through built-in testing. It's designed for teams that want to apply software engineering practices—version control, code review, testing—to data transformation work.
Use it for
- Run dbt transformations locally against your dbt Cloud environment without switching to the web IDE.
- Integrate dbt commands into CI/CD pipelines for automated data model testing and deployment.
- Develop and test SQL data models in your preferred editor before committing to version control.
- Manage complex interdependent data models with automatic dependency resolution and lineage tracking.
- Schedule and monitor data transformations through dbt Cloud while controlling execution from the CLI.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
dbt is a mature, actively maintained tool (Production/Stable status, recent release) with no known vulnerabilities and broad Python version support. However, the high install friction and unclear license require upfront investigation. If you're building data transformation workflows and have dbt Cloud access, the CLI is worth the setup cost. If you're evaluating dbt for the first time, clarify the license terms and test the installation in a non-critical environment first.
Install
dbt on PyPI
Before you install
High install friction reported. Package is actively maintained with a recent release (57 days ago), but the installation complexity may require careful setup. Supports Python 3.8 through 3.11.
High install friction; requires setuptools. Verify dbt Cloud account access and authentication setup before running commands.
License in practice
License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before adopting this package in a commercial or restricted environment.
Quickstart
pip install dbt
from dbt.cli.main import main
main(['--version'])Verify before relying
- Whether the high install friction is due to compiled dependencies, large download size, or complex configuration steps.
- What the unclear license treatment means in practice—whether it defaults to a permissive, restrictive, or proprietary model.
- Whether the package requires additional system dependencies beyond Python and setuptools.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.8 |
| Install friction | High. Source build required |
| Runtime dependencies | 1 packagesetuptools |
| Maintenance | Actively maintained 57 days since the last release |
| First released | |
| Downloads | 147,225 / month, #11,072 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: dbt-1.0.0.40.18.tar.gz
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