Conda is a cross-platform, language-agnostic binary package manager. It is the package manager used by Anaconda installations, but it may be used for other systems as well. Conda makes environments first-class citizens, making it easy to create independent environments even for C libraries. Conda is written entirely in Python, and is BSD licensed open source.
Conda is enhanced by organizations, tools, and repositories created and managed by the amazing members of the conda community. Some of them can be found here.
If you install the Anaconda Distribution, you will already have hundreds of packages installed. You can see what packages are installed by running
$ conda list
to see all the packages that are available, use
$ conda search
and to install a package, use
$ conda install <package-name>
The real power of conda comes from its ability to manage environments. In conda, an environment can be thought of as a completely separate installation. Conda installs packages into environments efficiently using hard links by default when it is possible, so environments are space efficient, and take seconds to create.
The default environment, which
conda itself is installed into is called
base. To create another environment, use the
command. For instance, to create an environment with the IPython notebook and
NumPy 1.6, which is older than the version that comes with Anaconda by
default, you would run:
$ conda create -n numpy16 ipython-notebook numpy=1.6
This creates an environment called
numpy16 with the latest version of
the IPython notebook, NumPy 1.6, and their dependencies.
We can now activate this environment, use
$ conda activate numpy16
This puts the bin directory of the
numpy16 environment in the front of the
PATH, and sets it as the default environment for all subsequent conda commands.
To go back to the base environment, use
$ conda deactivate
You can easily build your own packages for conda, and upload them
to anaconda.org, a free service for hosting
packages for conda, as well as other package managers.
To build a package, create a recipe. Package building documentation is available
See AnacondaRecipes for the recipes that make up the Anaconda Distribution and
Conda-forge and Bioconda are community-driven conda-based distributions.
To upload to anaconda.org, create an account. Then, install the anaconda-client and login
$ conda install anaconda-client $ anaconda login
Then, after you build your recipe
$ conda build <recipe-dir>
you will be prompted to upload to anaconda.org.
To add your anaconda.org channel, or other's channels, to conda so
conda install will find and install their packages, run
$ conda config --add channels https://conda.anaconda.org/username
username with the username of the person whose channel you want
Contributions to conda are welcome. See the contributing documentation for instructions on setting up a development environment.