Jupyter vs Plausible

The notebook that made data scientists feel like artists, until they tried to version control it meets google analytics for people who hate tracking, complexity, and privacy violations. 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

Plausible

Google Analytics for people who hate tracking, complexity, and privacy violations.

Pros

• Privacy-first
• No cookies
• Simple UI
• EU-hosted option
• Privacy-first design with no cookies or personal data collection
• Lightweight and fast, adding minimal load to your site
• Simple, intuitive dashboard that shows exactly what you need
• Open-source and transparent, so you can self-host or audit the code

Cons

• Less detailed
• No funnels
• Pricier for high traffic
• Limited advanced features compared to giants like Google Analytics
• Smaller ecosystem and fewer integrations with other tools

The Verdict

Use Jupyter if: You want interactive notebooks perfect for exploratory data analysis and teaching and can live with notoriously messy for version control and collaboration due to json-based files.

Use Plausible if: You prioritize privacy-first over what Jupyter offers.

The Bottom Line

Jupyter wins

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