Jupyter vs Google Colab

The notebook that made data scientists feel like artists, until they tried to version control it meets free gpus in exchange for your soul and data. Here's our take.

Jupyter

Nice Pick

The notebook that made data scientists feel like artists, until they tried to version control it.

Pros

• Interactive notebooks perfect for exploratory data analysis and teaching
• Supports over 40 languages, making it versatile for multi-language projects
• Rich output with live code, visualizations, and markdown in one document

Cons

• Notoriously messy for version control and collaboration due to JSON-based files
• Can become sluggish with large datasets or complex visualizations

Google Colab

Free GPUs in exchange for your soul and data. Jupyter in the cloud, crashes included.

Pros

Cons

The Verdict

These tools serve different purposes. Jupyter is a devtools while Google Colab is a ai assistants. We picked Jupyter based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Jupyter wins

Based on overall popularity. Jupyter is more widely used, but Google Colab excels in its own space.