How to Enable Google Colab in Visual Studio Code
Google Colab and Visual Studio Code are two of the most popular environments for Python development and machine learning work — but they serve very different purposes. Connecting them is absolutely possible, and once you understand how the integration works, you can decide which approach fits your workflow best.
What "Colab in VS Code" Actually Means
There's an important distinction to make upfront: you cannot run Google Colab's cloud infrastructure directly inside VS Code. Colab is a Google-hosted service that provides free access to cloud GPUs, TPUs, and a managed Python runtime. VS Code is a local code editor.
What you can do is one of two things:
- Connect VS Code to a Colab runtime — using Colab as a compute backend while you write code in VS Code
- Use VS Code's Jupyter Notebook support — which replicates the notebook experience locally, without Colab's cloud compute
Understanding which of these you actually need is the first decision point.
Option 1: Connect VS Code to a Google Colab Runtime
This approach lets you use Colab's hosted GPU/TPU environment as the kernel for a Jupyter notebook you're editing in VS Code. It works through a local tunnel that forwards the Colab runtime to your machine.
Step-by-Step Overview
Step 1: Open a Colab notebook Go to colab.research.google.com and open or create a notebook.
Step 2: Run the tunnel command in Colab In a Colab cell, run the following: