Jupyter vs Google Analytics

The notebook that made data scientists feel like artists, until they tried to version control it meets the free data black hole that marketers love and developers dread. 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 Analytics

The free data black hole that marketers love and developers dread.

Pros

• Free tier covers most small to medium sites
• Integrates seamlessly with Google Ads and other Google services
• Real-time reporting for quick insights
• Massive community and extensive documentation

Cons

• Privacy concerns and GDPR compliance headaches
• Steep learning curve for advanced features
• Data sampling can skew results on large datasets

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 Google Analytics if: You prioritize free tier covers most small to medium sites 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.