Anaconda

Anaconda Distribution Open Data Science Core

Anaconda is an easy-to-install free package manager, environment manager, Python distribution, and collection of over 720 open source packages offering free community support.

Get the Anaconda Cheat Sheet and then download Anaconda.

Don’t want the huge collection of 720 software packages? Then get Miniconda and get started with this guide.

Product specifications

  • License: Anaconda is free to use and redistribute under the terms of the Anaconda End User License Agreement
  • Windows Vista* or newer, macOS 10.7+, or Linux (Ubuntu, RedHat and others; CentOS 5+)
  • 32-bit or 64-bit
  • Minimum 3 GB disk space to download and install.

*Windows XP is supported on Anaconda versions 2.2 and earlier. See Old package lists.

Packages available in Anaconda

  • Over 150 packages are automatically installed with Anaconda.
  • Over 250 additional open source packages can be individually installed from the Anaconda repository at the command line, by using the “conda install” command.
  • Thousands of other packages are available from Anaconda.org.
  • Others can be downloaded using the “pip install” command that is included and installed with Anaconda.
  • You can also make your own custom packages using the “conda build” command, and upload them to Anaconda.org, PyPi or other repositories.

High performance

Anaconda provides high performance computing with Anaconda Accelerate and several other components:

Some of these components require licenses, and license management is described here:

What’s new in Anaconda 4.3?

Anaconda 4.3 was released on January 31, 2017 and includes the following:

  • The Anaconda3 installers are based on Python 3.6. Anaconda 4.3 supports Python 2.7, 3.4, 3.5 and 3.6. Anaconda 4.3 will be the last release which supports Python 3.4. We will discontinue regular Python 3.4 package updates in the next release.
  • conda is updated from 4.2.9 to 4.3.14.
  • Navigator is updated from 1.3.1 to 1.5.0.
  • Anaconda Project 0.4.1 has been added.
  • The Intel Math Kernel Library (MKL) is updated from 11.3.3 to 2017.0.1.
  • Matplotlib is updated from 1.5.3 to 2.0.0.
  • seaborn is now installed by default.
  • Over 90 packages are updated.
  • Jpeg and libpng are updated to increase compatibility with conda-forge.
  • Windows can now be installed in a path containing Unicode characters.
  • Improved Windows uninstallation.
  • OpenSSL can now be installed in a path containing spaces.
  • Anaconda 4.2 is the last release that supports macOS 10.7 and macOS 10.8. Anaconda 4.3 supports macOS versions from 10.9 through the current version 10.12.
  • conda-build, anaconda-clean and the Jupyter Notebook extensions are no longer installed by default but can be installed with a single conda command.

For full details please see the changelog.

Previous versions

Previous versions of Anaconda are available in the archive. See the list of packages included in each previous version in the Old package lists.

Product archive

The following Continuum products have been replaced and are no longer available to new users. Documentation for these products is made available for existing users only:

Support

For free community support, join the Anaconda Mailing List.

Please report bugs on the Anaconda GitHub issue tracker.

Packages: Refer to the Anaconda included packages list.

Continuum Analytics also offers support & training.