Codeium vs Jupyter

The AI sidekick that writes code faster than you can think, but sometimes thinks it's smarter than you meets the notebook that made data scientists feel like artists, until they tried to version control it. Here's our take.

Codeium

Nice Pick

The AI sidekick that writes code faster than you can think, but sometimes thinks it's smarter than you.

Pros

• Real-time, context-aware suggestions that actually make sense
• Seamless integration with VS Code, JetBrains, and other popular editors
• Free tier with generous usage limits for solo developers

Cons

• Can generate overly verbose or boilerplate-heavy code
• Struggles with niche or legacy codebases

Jupyter

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

The Verdict

Use Codeium if: You want real-time, context-aware suggestions that actually make sense and can live with can generate overly verbose or boilerplate-heavy code.

Use Jupyter if: You prioritize interactive notebooks perfect for exploratory data analysis and teaching over what Codeium offers.

The Bottom Line

Codeium wins

The AI sidekick that writes code faster than you can think, but sometimes thinks it's smarter than you.