An easy-to-install, free collection of open source packages, including Python and the conda package manager. Over 150 packages are installed with Anaconda. After installing Anaconda, you can install or update over 250 additional open source packages contained in the Anaconda Repository using the conda install PACKAGE command.

NOTE: Replace PACKAGE with the name of the desired package.

Anaconda Client CLI

The Anaconda Client command line interface (CLI) allows you to log into Anaconda Repository directly from your Terminal window or Anaconda Prompt and manage your account. It is not necessary for downloading or installing packages from Repository.

Anaconda Repository

Repository hosts hundreds of useful Python packages, notebooks and environments for a wide variety of applications. You do not need to be logged in, or even need a Repository account, to search for packages, download and install them.


The conda package manager and environment manager program that installs and updates packages and their dependencies, and lets you easily switch between environments on your local computer.

conda build

The command line interface that lets you build packages for your local operating system.

conda package

A compressed file containing system-level libraries, Python modules, executable programs or other components. The file uses the tarball format.


Part of the URLs for Repository where conda looks for packages. Labels are searched only if you specify a label.

The default label is “main,” so packages that are uploaded without specifying a label are automatically labeled “main.” The version labeled main is also downloaded by default, unless a user specifies a different label. So, if a file is labeled main, then the label name may be omitted from the URL.

EXAMPLE: The following repositories are equivalent:


Commands such as conda install can be used with a channel, or used with a channel and a label:

conda install --channel sean selenium
conda install --channel sean/label/dev selenium
conda install --channel sean/label/stable selenium

Using Anaconda Client, package developers can create labels such as development labels/dev, test labels/test or other labels that are searched only if the user specifies the label.

EXAMPLE: The following search examples use a namespace of “travis”:

  • https://<your-anaconda-repo>/travis/labels/main—the label searched by default.
  • https://<your-anaconda-repo>/travis—same as default label with main implicit.
  • https://<your-anaconda-repo>/travis/labels/dev—contains the packages in development.
  • https://<your-anaconda-repo>/travis/labels/test—contains packages ready to test.
  • https://<your-anaconda-repo>/travis/labels/any-custom-label—any label you want to use.


A minimal installer for conda. Like Anaconda, Miniconda is a software package that includes the conda package manager and Python and its dependencies, but does not include any other packages. Once conda is installed by installing either Anaconda or Miniconda, you can install other software packages directly from the command line using conda install.


Each user and organization has their own location called a “namespace” where they may host packages. You can view the public packages in a user or organization’s namespace by navigating to their user page.

EXAMPLE: The “travis” user namespace located at https://<your-anaconda-repo>/travis contains packages that were uploaded and shared by the user whose account is named “travis.”

noarch package

A conda package that contains nothing specific to any system architecture, so it may be installed on any system. When conda searches for packages on any system in a channel, conda always checks both the system-specific subdirectory—such as linux-64—and the noarch directory.

on-site repository

Repository is powered by Anaconda Server. You can run your own server behind firewalls or in air gapped environments. For more information, contact

organization account

An organization account is a type of account on Repository that allows multiple individual users to administer packages and control package access to different user groups. It also includes a large amount of storage space.

Use organization accounts to:

  • Share packages, environments or notebooks under an organization’s account rather than your personal account.
  • Assign multiple account administrators.
  • Assign different access permissions to groups of users and customize per-package access by group.


All files uploaded to Repository are stored in packages. Each Repository package is visible at its own unique URL based on the name of the user who owns the package and the name of the package.

EXAMPLE: If a user “travis” uploads a test package named “testpkg,” it is visible at:


Repository packages may contain multiple files, and these files may be data files such as comma separated value (CSV), tab separated value (TSV), or text (TXT), or package files such as conda packages, PyPI packages or R packages.

package manager

A tool that facilitates the process of installing, upgrading, configuring and removing packages on Repository. Repository supports two package managers, conda and PyPI.

For more information, see Using package managers.


Anaconda Project is an open source tool created by Anaconda that delivers light-weight, efficient encapsulation and portability of data science projects.


A storage location from which software packages may be retrieved and installed on a computer.

source package

“Source” packages are source code only, not yet built for any specific platform, and might be compatible with all, some or only one of the platforms.


An access control token is a random alphanumeric string that is inserted into a URL that you give to another Repository user. The token allows them to download a package or add a channel that you have marked private. Only those users with the correct access token can access the private file. You can use Client to generate tokens to give other users specifically scoped access to packages and collections.