Jupyter vs Observable

The notebook that made data scientists feel like artists, until they tried to version control it meets jupyter for people who like javascript. 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

Observable

Jupyter for people who like JavaScript. Reactive notebooks that actually look good.

Pros

Cons

The Verdict

These tools serve different purposes. Jupyter is a devtools while Observable 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 Observable excels in its own space.