EZconda

Create, Manage, Re-create conda environments & specifications with ease.

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EZconda is a command line interface application that helps practitioners create and manage conda environment and related specifications with ease.

It provides an easy to use higher level abstraction for creating and managing reproducible conda environments.

Key Features

• Environment Management : Create and manage conda environments with ease.

• Specifications Management : Add and remove packages from the specifications file as you install & remove them.

  No manual file edits! No exporting entire environments!

• Reproducible Environments : Auto lock current environment state and re-create it exactly anywhere!

• Easy & Intuitive : Intuitive commands and autocompletions by default.

• Fast & Reliable Environment Resolution : Get fast and reliable environment solves by default.

  EZconda uses mamba by default, but you can easily switch between mamba and conda.

• Built-in Good Practices & Guardrails : Enables the user to follow good practices, by default.

Requirements

• Conda installation

Installation

The recommended way to install EZconda is using conda or mamba in the base environment :

Using conda:

$ conda install ezconda -c conda-forge -n base

Using mamba:

$ mamba install ezconda -c conda-forge -n base

A Minimal Example

Create a new environment

Create a new environment with Python 3.9 installed -

$ ezconda create -n ds-proj python=3.9

// Creates ds-proj with Python=3.9 installed

EZconda creates the conda environment as well as a specifications file ds-proj.yml (named after the environment name) -

name: ds-proj
channel:
    - defaults
dependencies:
    - python=3.9

Install packages

As you install packages, the specifications file is also updated accordingly.

$ ezconda install -n ds-proj -c conda-forge numpy pandas scipy

// Installs numpy, scipy, pandas from conda-forge channel

name: ds-proj
channel:
    - conda-forge
    - defaults
dependencies:
    - python=3.9
    - numpy
    - pandas
    - scipy

The conda-forge channel was also added to the specifications along with the packages.

Remove packages

The specifications file is also updated when you remove packages.

$ ezconda remove -n ds-proj pandas

// Removes pandas from ds-proj

name: ds-proj
channel:
    - conda-forge
    - defaults
dependencies:
    - python=3.9
    - numpy
    - scipy

Informed Package Removal: If you try to remove a package that is a dependency for an installed package, EZconda will inform you before removing the package. See docs for more details.

Sync environment with changes

Let's say you are working with collaborators and they update the specifications file (ds-proj.yml) with a new dependency. Now, your local conda environment is out of sync with the new dependencies.

To bring it back in sync, you can use the sync command.

$ ezconda sync -n ds-proj --with specfile

// Syncs ds-proj environment with new changes in specifications file (ds-proj.yml)

Sync changes: Learn more about syncing environments in the user guide.

Re-create environment

As you create, install and remove packages, in addition to the specifications file, EZconda also generates and maintains a lock file.

You can use this lock file to reproducibly re-create an environment.

Lock file: You can learn more about reproducible environments and lock file in docs.

$ ezconda create --file ds-proj-darwin-x86_64.lock

// Creates a new environment 'ds-proj-darwin-x86_64.lock'

Summary

In summary, EZconda provides an easy to use higher level abstraction for creating and managing reproducible conda environments.

To learn more, check out the User Guide

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Contributing Guidelines

Run tests

docker-compose up --build test

Local iterative development

docker-compose build dev && docker-compose run dev bash