Installing conda/miniconda and creating virtual environments on Google Colab is a common need, but it can be quite a hassle. Konda solves this problem by helping you do everything with a single command. Essentially, Konda makes conda installation and usage in Colab straightforward and painless.

There’s no learning curve since Konda commands are simply wrappers around conda commands you already know.

• 🔄 One-command Miniconda Installation: Installs Miniconda with just one line of code
• 🌐 Built for Google Colab: Optimized for the Colab environment where conda integration is typically tricky
• 🛠️ Simple Command Wrapper: Run conda commands without worrying about environment setup
• 🚀 Seamless Environment Activation: Automatically handles the special activation requirements in Colab
• 🧹 Easy Cleanup: Remove the Miniconda installation when you’re done

import konda
konda.install()

Konda is a simple wrapper around conda.

# Create a new environment
konda create -n my_env python=3.8 -y

# Activate the environment
konda activate my_env

# Run a command in the environment
konda run "conda install anaconda::tensorflow-gpu=2.4.1 -y"
konda run "pip install requests"

# Deactivate the environment
konda deactivate

To see how konda works in action, check out the example.

To remove the Miniconda installation created by konda:

To uninstall the konda package itself:

Konda simplifies conda management in Googl