Glossary
- Anaconda Cloud
- A web-based repository hosting service in the cloud. Packages created
locally can be published to the cloud to be shared with others. Free
accounts on Cloud can publish packages to be shared publicly.
Paid subscriptions to Cloud can designate packages as private to
be shared with authorized users. Cloud is Anaconda’s
Anaconda Repository product made available to the public.
Repository is also available for purchase by companies that wish to
power their own on-premise version of Cloud. See
product comparison.
- Anaconda Distribution
- A downloadable, free, open source, high-performance, optimized Python and
R distribution with 200+ packages plus easy access to an
additional 620+ popular open source packages for data science including
advanced and scientific analytics. It also includes conda, an open source
package, dependency and environment manager. Thousands more open source
packages can be installed with the
conda
command. Available for Windows,
macOS and Linux, all versions are supported by the community.
- Anaconda Navigator
- A desktop graphical user interface (GUI) to conda that is included
in all versions of Anaconda Distribution. Navigator
allows you to easily manage conda packages,
environments, channels and
notebooks without the need for the command line interface.
- Anaconda Enterprise
- Anaconda with enterprise technical support for a specific number of
users, indemnification for a select number of open source packages,
collaborative notebooks, high-performance scalability, Hadoop,
interactive visualization, governance and security. See the
subscriptions page for more
details.
- Anaconda Enterprise Notebook
- A browser-based Python data analysis environment and visualization tool
in a secure, governed environment. Allows data science team members to create
and share private notebooks, manage access, control notebook revisions,
compare and identify differences across notebook versions, search notebooks
for keywords and packages, use enhanced collaborative notebook features
including revision control and locking—and to access an on-premises and/or
cloud collaborative notebook server.
- Anaconda Enterprise Repository
- An enterprise server on your network where open source and proprietary
packages may be stored, retrieved and installed on a local computer.
Anaconda Repository is different from Anaconda Cloud
or the default conda repository. The
repository is used to govern access to data science assets including
packages and notebooks.
- Anaconda repository
- A cloud-based repository that contains 1,000+ open source certified packages
that are easily installed locally with the
conda install
command. Can be
accessed by anyone using conda commands or viewed directly at
https://repo.continuum.io/pkgs/ .
- Channels
- The locations of the repositories where conda looks for packages. Channels
may point to a Cloud repository or a private location on a remote
or local repository that you or your organization created. The
conda channel
command has a default set of channels to search
beginning with https://repo.continuum.io/pkgs/ . You may override the
default channels, for example to maintain a private or internal channel.
In conda commands and in the .condarc
file, these default channels
are referred to by the channel name defaults
.
- Command Line Interface (CLI)
- A program in which commands are entered as text, one line at a time, for a
computer to execute. Also referred to as a terminal. Contrast with
Graphical User Interface (GUI).
- Conda
- A package and environment manager program bundled with
Anaconda Distribution that finds, installs and updates
conda packages and their dependencies.
Also lets you easily switch between conda environments on your local computer.
- Conda build
- A program that assembles the necessary components to create a
conda package using conda
commands. A conda build is done locally with your own (optional)
clusters.
- Conda environment
- A folder or directory that contains a specific collection of
conda packages and their dependencies, so
that they can be maintained and run separately without
interference from each other. For example, you may use one conda
environment for only Python 2.7 and Python 2.7 packages, and maintain
another conda environment with only Python 3.5 and Python 3.5 packages.
- Conda package
- A compressed file that contains everything that a software program needs in
order to be installed and run, including system-level libraries, Python modules,
executable programs and other components. With a conda package, you do not have to
manually find and install each dependency separately.
Managed with conda.
- Environment manager
- A software tool that maintains a separation of computer programs so
they do not interfere with each other. Also known as an environment
management system. Conda is an example of an environment manager.
- Graphical User Interface (GUI)
- A program with graphic images, icons and menus in which commands are
entered by clicking with a mouse and/or entering text in form boxes. It
is an easy-to-use overlay to a program that is run using a
Command Line Interface (CLI). Anaconda Navigator is a
GUI for the conda program.
- Miniconda
- A minimal installer for conda. Like Anaconda Distribution, Miniconda is a free software
package that includes the Anaconda Distribution and the conda package and
environment manager, but Miniconda does not include any packages other than
those dependencies needed to install it. After installing Miniconda,
you can install additional conda packages directly from the command line
with
conda install
.
- Microsoft R Open (MRO)
- An enhanced distribution of the R language from Microsoft Corporation.
It is a complete open source platform for statistical analysis and data
science.
- Package manager
- A collection of software tools that automates the process of installing,
updating, configuring and removing computer programs for a computer’s
operating system. Also known as a package management system. Conda is an
example of a package manager.
- Packages
- Software files and information about the software, such as its name, the
specific version and a description, that are bundled into a file that can be
installed and managed by a package manager.
- R packages
- Conda packages that install and run the R computer
language. Examples include R Essentials, a bundle of 80 popular, open
source software programs written in the R computer language.
See http://conda.io/docs/r-with-conda.html.
- Repository
- Any storage location from which software or software assets may be retrieved
and installed on a local computer. See also Anaconda repository
and Anaconda Enterprise Repository.
- Terminal
- A program in which commands are entered as text, one line at a time, for a
computer to execute. Also referred to as a Command Line Interface.
Contrast with Graphical User Interface (GUI).