It is usually quicker and more practical to use Conda than the GUI-based Anaconda Navigator, which can also be used for dependency, and environment management.īefore working with Conda, it’s always good practice to ensure that the latest versions of Conda and Anaconda are installed. It can be run from the Anaconda Prompt in Windows or in a Linux terminal.

Pip.Ĭonda is a command-line tool and is included in the Anaconda distribution. How to Add Packages in Anaconda Python: Conda Vs. To avoid dependency conflicts, use tools such as virtualenv, venv or pyenv to create isolated Anaconda environments.įor information about the use of pip in conda environments, refer to this Quickread post. By comparison, Pip installs all package dependencies regardless of whether they conflict with other packages already installed. If there is a conflict, Conda will let you know that the installation cannot be completed. However it is a completely separate tool that will manage Python dependencies differently, and only works in Conda environments.Ĭonda analyzes each package for compatible dependencies, and how to install them without conflict.

How Does Conda Compare to Pip, Virtualenv, Venv & PyenvĬonda provides many of the features found in pip, virtualenv, venv and pyenv. Provides identification of dependency conflicts at time of package installation, thereby preventing conflicts within projects/environments.Allows the creation of environments that isolate each project, thereby preventing dependency conflicts between projects.Conda is a package, dependency, and environment management tool for Anaconda Python, which is widely used in the scientific community, especially on the Windows platform where the installation of binary extensions can be difficult.Ĭonda helps manage Python dependencies in two primary ways:

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