As of version 22.11.0, conda has support for user plugins, enabling extension and/or alterations to some of its functionality.

Quick start#

This is an example of a minimal working conda plugin that defines a new subcommand:
import conda.plugins
from conda.base.context import context

def command(arguments: list[str]):
    print("Conda subcommand!")

def conda_subcommands():
    yield conda.plugins.CondaSubcommand(
        summary="Example of a conda subcommand",

Let's break down what's going on here step-by-step:

  1. First, we create the function command that serves as our subcommand. This function is passed a list of arguments which equal to sys.argv[2:].

  2. Next, we register this subcommand by using the conda_subcommands plugin hook. We do this by creating a function called conda_subcommands and then decorating it with conda.plugins.hookimpl.

  3. The object we return from this function is conda.plugins.CondaSubcommand, which does several things:

    1. name is what we use to call this subcommand via the command line (i.e. "conda example")

    2. action is the function that will be called when we invoke "conda example"

    3. summary is the description of the of the subcommand that appears when users call "conda --help"

In order to actually use conda plugins, they must be packaged as Python packages. Furthermore, we also need to take advantage of a feature known as Python package entrypoints. We can define our Python package and the entry points by either using a pyproject.toml file (preferred) or a (legacy) for our project:

requires = ["setuptools", "setuptools-scm"]
build-backend = "setuptools.build_meta"

name = "conda-example-plugin"
version = "1.0.0"
description = "Example conda plugin"
requires-python = ">=3.8"
dependencies = ["conda"]

conda-example-plugin = "example_plugin"
from setuptools import setup

    entry_points={"conda": ["conda-example-plugin = example_plugin"]},

In both examples shown above, we define an entry point for conda. It's important to make sure that the entry point is for "conda" and that it points to the correct module in your plugin package. Our package only consists a single Python module called example_plugin. If you have a large project, be sure to always point the entry point to the module containing the plugin hook declarations (i.e. where conda.plugins.hookimpl is used). We recommend using the plugin submodule in these cases, e.g. large_project.plugin (in large_project/

More examples#

To see more examples of conda plugins, please visit the following resources:

  • conda-plugins-template: This is a repository with full examples that could be used a starting point for your plugin

Using other plugin hooks#

For examples of how to use other plugin hooks, please read their respective documentation pages:

More information about how plugins work#

Plugins in conda are implemented with the use of Pluggy, a Python framework used by other projects, such as pytest, tox, and devpi. pluggy provides the ability to extend and modify the behavior of conda via function hooking, which results in plugin systems that are discoverable with the use of Python package entrypoints.

For more information about how it works, we suggest heading over to their documentation.


For even more detailed information about our plugin system, please the see the Plugin API section.

A note on licensing#

For more information on which license to use for your custom plugin, please reference the "Choose an Open Source License" site. If you need help figuring out exactly which one to use, we advise communicating with a qualified legal professional.