Install guide

You can install all the Modular APIs and tools (including MAX and Mojo) as a single package called modular, using any Python or Conda package manager. On this page, we show how to install using pip, uv, conda, and pixi.

The modular package is available as a nightly and a stable build. You can also select the latest nightly or stable documentation, using a drop-down in the website header. By default, we show the nightly version so you always see the latest APIs and documentation.

If you just want to get started, instead see our quickstart guide.

If you'll mostly be programming in Mojo, we recommend installing with pixi or conda, because the Python package currently doesn't include the Mojo debugger.

Install

To get the latest performance improvements and new features, we recommend installing our nightly build, which we release several times a week. If you want a better tested but slightly older version, you can install a stable build. (Each stable release is described in the changelog.)

pip

1. Create a project folder:

   mkdir example-project && cd example-project

   mkdir example-project && cd example-project
2. Create and activate a virtual environment:

   python3 -m venv .venv/example-project \
     && source .venv/example-project/bin/activate

   python3 -m venv .venv/example-project \
     && source .venv/example-project/bin/activate
3. Install the modular Python package:
   Nightly

   pip install modular \
     --extra-index-url https://download.pytorch.org/whl/cpu \
     --extra-index-url https://dl.modular.com/public/nightly/python/simple/

   pip install modular \
     --extra-index-url https://download.pytorch.org/whl/cpu \
     --extra-index-url https://dl.modular.com/public/nightly/python/simple/

   Stable

   pip install modular \
     --extra-index-url https://download.pytorch.org/whl/cpu \
     --extra-index-url https://modular.gateway.scarf.sh/simple/

   pip install modular \
     --extra-index-url https://download.pytorch.org/whl/cpu \
     --extra-index-url https://modular.gateway.scarf.sh/simple/

uv

1. If you don't have it, install uv:

   curl -LsSf https://astral.sh/uv/install.sh | sh

   curl -LsSf https://astral.sh/uv/install.sh | sh

   Then restart your terminal to make uv accessible.

2. Create a project:

   uv init example-project && cd example-project

   uv init example-project && cd example-project
3. Create and start a virtual environment:

   uv venv && source .venv/bin/activate

   uv venv && source .venv/bin/activate
4. Install the modular Python package:
   Nightly

   uv pip install modular \
     --extra-index-url https://download.pytorch.org/whl/cpu \
     --extra-index-url https://dl.modular.com/public/nightly/python/simple/ \
     --index-strategy unsafe-best-match

   uv pip install modular \
     --extra-index-url https://download.pytorch.org/whl/cpu \
     --extra-index-url https://dl.modular.com/public/nightly/python/simple/ \
     --index-strategy unsafe-best-match

   Stable

   uv pip install modular \
     --extra-index-url https://download.pytorch.org/whl/cpu \
     --extra-index-url https://modular.gateway.scarf.sh/simple/ \
     --index-strategy unsafe-best-match

   uv pip install modular \
     --extra-index-url https://download.pytorch.org/whl/cpu \
     --extra-index-url https://modular.gateway.scarf.sh/simple/ \
     --index-strategy unsafe-best-match

conda

1. If you don't have it, install conda. A common choice is with brew:

   brew install miniconda

   brew install miniconda
2. Initialize conda for shell interaction:

   conda init

   conda init

   If you're on a Mac, instead use:

   conda init zsh

   conda init zsh

   Then restart your terminal for the changes to take effect.

3. Create a project:

   conda create -n example-project

   conda create -n example-project
4. Start the virtual environment:

   conda activate example-project

   conda activate example-project
5. Install the modular conda package:
   Nightly

   conda install -c conda-forge -c https://conda.modular.com/max-nightly/ modular

   conda install -c conda-forge -c https://conda.modular.com/max-nightly/ modular

   Stable

   conda install -c conda-forge -c https://conda.modular.com/max/ modular

   conda install -c conda-forge -c https://conda.modular.com/max/ modular

pixi

1. If you don't have it, install pixi:

   curl -fsSL https://pixi.sh/install.sh | sh

   curl -fsSL https://pixi.sh/install.sh | sh

   Then restart your terminal for the changes to take effect.

2. Create a project:

   pixi init example-project \
     -c https://conda.modular.com/max-nightly/ -c conda-forge \
     && cd example-project

   pixi init example-project \
     -c https://conda.modular.com/max-nightly/ -c conda-forge \
     && cd example-project
3. Install the modular conda package:
   Nightly

   pixi add modular

   pixi add modular

   Stable

   pixi add "modular==25.3"

   pixi add "modular==25.3"
4. Start the virtual environment:

   pixi shell

   pixi shell

The modular package installs MAX, Mojo, and other package dependencies.

GitHub stable branch

If you're using a stable build and want to clone the Modular repo, make sure you checkout the stable branch (because the main branch includes the latest nightly code). For example:

git clone -b stable https://github.com/modular/modular.git

git clone -b stable https://github.com/modular/modular.git

Uninstall

pip

You can uninstall modular from your virtual environment with the following command:

pip uninstall modular

pip uninstall modular

To deactivate your virtual environment, run:

deactivate

deactivate

uv

You can uninstall modular from your virtual environment with the following command:

uv pip uninstall modular

uv pip uninstall modular

To deactivate your virtual environment, run:

deactivate

deactivate

conda

You can uninstall modular from your virtual environment with this command:

conda remove modular

conda remove modular

To deactivate your virtual environment, run:

deactivate

deactivate

pixi

You can uninstall modular from your virtual environment with this command:

pixi remove modular

pixi remove modular

To deactivate your virtual environment, run:

exit

exit

What's included

pip/uv

The modular Python wheel installs the following:

• MAX tools and libraries
  • max CLI
  • max Python library
  • max Mojo library
• Mojo tools and libraries
  • mojo CLI
  • Mojo standard library
  • Mojo LSP

pip known issues:

• The Mojo debugger isn't included. If you want to develop with Mojo, we currently recommend you install the modular conda package with pixi or conda.

conda/pixi

The max conda package installs the following:

• MAX tools and libraries
  • max Python library
  • max Mojo library
  • MAX Engine C API
• Mojo tools and libraries
  • mojo CLI
  • Mojo standard library
  • Mojo LSP
  • Mojo debugger

The modular package installs the max CLI.

pixi known issues:

• You might encounter issues if you invoke pixi within a conda virtual environment. It's best if you don't mix the two tools.

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