What’s in a Name? Clarifying the Anaconda Metapackage

The name “Anaconda” is overloaded in many ways. There’s our company, Anaconda, Inc., the Anaconda Distribution, the anaconda metapackage, Anaconda Enterprise, and several other, sometimes completely unrelated projects (like Red Hat’s Anaconda). Here we hope to clarify two of those – the difference between the Anaconda Distribution and the anaconda metapackage.  The Anaconda Distribution is […]

Why We Removed the “Free” Channel in Conda 4.7

One of the changes we made in Conda 4.7 was the removal of a software collection called “free” from the default channel configuration. The “free” channel is our collection of packages prior to the switch in recipes/compilers that we did for the Anaconda Distribution 5.0 release. The current primary channel, “main,” is also totally free […]

Conda 4.6 Release

The latest set of major Conda improvements are here, with version 4.6. This release has been stewing for a while and has the feature list to show for it. Let’s walk through some of the major ones. Activation script initialization Conda 4.4 introduced new scripts that make activation behavior uniform across operating systems. Where you […]

Understanding and Improving Conda’s performance

Lately, we have been responding to issues about Conda’s speed. We’re working on it and we wanted to explain a few of the facets that we’re looking at to solve the problem. TL;DR: make it faster Are you: Using conda-forge? Use conda-metachannel to reduce conda’s problem size Using bioconda? Use conda-metachannel to reduce conda’s problem size See https://github.com/bioconda/bioconda-recipes/issues/13774 for more info […]

Intake released on Conda-Forge

Intake is a package for cataloging, finding and loading your data. It has been developed recently by Anaconda, Inc., and continues to gain new features. To read general information about Intake and how to use it, please refer to the documentation. Until recently, Intake was only available for installation via Conda and the intake channel […]

Using Pip in a Conda Environment

Unfortunately, issues can arise when conda and pip are used together to create an environment, especially when the tools are used back-to-back multiple times, establishing a state that can be hard to reproduce. Most of these issues stem from that fact that conda, like other package managers, has limited abilities to control packages it did […]