You need to use
pip to install dbt Core on Windows or Linux operating systems. You can use
pip or Homebrew for installing dbt Core on a MacOS.
You can install dbt Core and plugins using
pip because they are Python modules distributed on PyPI.
Using virtual environments
We recommend using virtual environments (venv) to namespace pip modules.
- Create a new venv:
python -m venv dbt-env # create the environment
- Activate that same virtual environment each time you create a shell window or session:
source dbt-env/bin/activate # activate the environment for Mac and Linux OR
dbt-env\Scripts\activate # activate the environment for Windows
Create an alias
To activate your dbt environment with every new shell window or session, you can create an alias for the source command in your $HOME/.bashrc, $HOME/.zshrc, or whichever config file your shell draws from.
For example, add the following to your rc file, replacing <PATH_TO_VIRTUAL_ENV_CONFIG> with the path to your virtual environment configuration.
alias env_dbt='source <PATH_TO_VIRTUAL_ENV_CONFIG>/bin/activate'
Installing the adapter
Once you decide which adapter you're using, you can install using the command line. Beginning in v1.8, installing an adapter does not automatically install
dbt-core. This is because adapters and dbt Core versions have been decoupled from each other so we no longer want to overwrite existing dbt-core installations.
For example, if using Postgres:
To upgrade a specific adapter plugin:
python -m pip install --upgrade dbt-ADAPTER_NAME
Install dbt-core only
If you're building a tool that integrates with dbt Core, you may want to install the core library alone, without a database adapter. Note that you won't be able to use dbt as a CLI tool.
python -m pip install dbt-core
Change dbt Core versions
You can upgrade or downgrade versions of dbt Core by using the
--upgrade option on the command line (CLI). For more information, see Best practices for upgrading in Core versions.
To upgrade dbt to the latest version:
python -m pip install --upgrade dbt-core
To downgrade to an older version, specify the version you want to use. This command can be useful when you're resolving package dependencies. As an example:
python -m pip install --upgrade dbt-core==0.19.0
pip install dbt
Note that, as of v1.0.0,
pip install dbt is no longer supported and will raise an explicit error. Since v0.13, the PyPI package named
dbt was a simple "pass-through" of
dbt-core and the four original database adapter plugins. For v1, we formalized that split.
If you have workflows or integrations that relied on installing the package named
dbt, you can achieve the same behavior going forward by installing the same five packages that it used:
python -m pip install \
Or, better yet, just install the package(s) you need!