Pixi Global Tool Environment Installation#

With pixi global, users can manage globally installed tools in a way that makes them available from any directory. This means that the pixi environment will be placed in a global location, and the tools will be exposed to the system PATH, allowing you to run them from the command line.

The Global Manifest#

Since v0.33.0 pixi has a new manifest file that will be created in the global directory. This file will contain the list of environments that are installed globally, their dependencies and exposed binaries. The manifest can be edited, synced, checked in to a version control system, and shared with others.

A simple version looks like this:

[envs.vim]
channels = ["conda-forge"]
dependencies = { vim = "*" } # (1)!
exposed = { vimdiff = "vimdiff", vim = "vim" } # (2)!

[envs.gh]
channels = ["conda-forge"]
dependencies = { gh = "*" }
exposed = { gh = "gh" }

[envs.python]
channels = ["conda-forge"]
dependencies = { python = ">=3.10,<3.11" }
exposed = { python310 = "python" } # (3)!

Dependencies are the packages that will be installed in the environment. You can specify the version or use a wildcard.
The exposed binaries are the ones that will be available in the system path. vim has multiple and all of them are exposed.
Here python is exposed as python310 to avoid conflicts with other python installations. You can give it any name you want.

Manifest locations#

The manifest can be found at the following locations depending on your operation system.

LinuxmacOSWindows

Priority	Location	Comments
1	`$HOME/.pixi/manifests/pixi-global.toml`	User-specific manifest
2	`$PIXI_HOME/manifests/pixi-global.toml`	Global manifest in the user home directory. `PIXI_HOME` defaults to `~/.pixi`

Priority	Location	Comments
1	`$HOME/.pixi/manifests/pixi-global.toml`	User-specific manifest
2	`$PIXI_HOME/manifests/pixi-global.toml`	Global manifest in the user home directory. `PIXI_HOME` defaults to `~/.pixi`

Priority	Location	Comments
1	`%USERPROFILE%\.pixi\manifests\pixi-global.toml`	User-specific manifest
2	`$PIXI_HOME\manifests/pixi-global.toml`	Global manifest in the user home directory. `PIXI_HOME` defaults to `%USERPROFILE%/.pixi`

Note

If multiple locations exist, the manifest with the highest priority will be used.

Channels#

The channels are the conda channels that will be used to search for the packages. There is a priority to these, so the first one will have the highest priority, if a package is not found in that channel the next one will be used. For example, running:

pixi global install --channel conda-forge --channel bioconda snakemake

Results in the following entry in the manifest:

[envs.snakemake]
channels = ["conda-forge", "bioconda"]
dependencies = { snakemake = "*" }
exposed = { snakemake = "snakemake" }

More information on channels can be found here.

Exposed#

The exposed binaries are the ones that will be available in the system PATH. This is useful when the package has multiple binaries, but you want to get a select few, or you want to expose it with a different name. For example, the python package has multiple binaries, but you only want to expose the interpreter as py3. Running:

pixi global expose add --environment python py3=python3

will create the following entry in the manifest:

[envs.python]
channels = ["conda-forge"]
dependencies = { python = ">=3.10,<3.11" }
exposed = { py3 = "python3" }

Now you can run py3 to start the python interpreter.

py3 -c "print('Hello World')"

There is some added automatic behavior, if you install a package with the same name as the environment, it will be exposed with the same name. Even if the binary name is only exposed through dependencies of the package For example, running:

pixi global install ansible

will create the following entry in the manifest:

[envs.ansible]
channels = ["conda-forge"]
dependencies = { ansible = "*" }
exposed = { ansible = "ansible" } # (1)!

The ansible binary is exposed even though it is installed by a dependency of ansible, the ansible-core package.

Dependencies#

Dependencies are the Conda packages that will be installed into your environment. For example, running:

pixi global install "python<3.12"

creates the following entry in the manifest:

[envs.vim]
channels = ["conda-forge"]
dependencies = { python = "<3.12" }
# ...

Typically, you'd specify just the tool you're installing, but you can add more packages if needed. Defining the environment to install into will allow you to add multiple dependencies at once. For example, running:

pixi global install --environment my-env git vim python

will create the following entry in the manifest:

[envs.my-env]
channels = ["conda-forge"]
dependencies = { git = "*", vim = "*", python = "*" }
# ...

You can add a dependency to an existing environment by running:

pixi global install --environment my-env package-a package-b

This will be added as dependencies to the my-env environment but won't auto expose the binaries from the new packages.

You can remove dependencies by running:

pixi global remove --environment my-env package-a package-b

Example: Adding a series of tools at once#

Without specifying an environment, you can add multiple tools at once:

pixi global install pixi-pack rattler-build

This command generates the following entry in the manifest:

[envs.pixi-pack]
channels = ["conda-forge"]
dependencies= { pixi-pack = "*" }
exposed = { pixi-pack = "pixi-pack" }

[envs.rattler-build]
channels = ["conda-forge"]
dependencies = { rattler-build = "*" }
exposed = { rattler-build = "rattler-build" }

Creating two separate non-interfering environments, while exposing only the minimum required binaries.

Example: Creating a Data Science Sandbox Environment#

You can create an environment with multiple tools using the following command:

pixi global install --environment data-science --expose jupyter --expose ipython jupyter numpy pandas matplotlib ipython

This command generates the following entry in the manifest:

[envs.data-science]
channels = ["conda-forge"]
dependencies = { jupyter = "*", ipython = "*" }
exposed = { jupyter = "jupyter", ipython = "ipython" }

In this setup, both jupyter and ipython are exposed from the data-science environment, allowing you to run:

> ipython
# Or
> jupyter lab

These commands will be available globally, making it easy to access your preferred tools without switching environments.

Example: Install packages for a different platform#

You can install packages for a different platform using the --platform flag. This is useful when you want to install packages for a different platform, such as osx-64 packages on osx-arm64. For example, running this on osx-arm64:

pixi global install --platform osx-64 python

will create the following entry in the manifest:

[envs.python]
channels = ["conda-forge"]
platforms = ["osx-64"]
dependencies = { python = "*" }
# ...