Data Science IDE Showdown: Zasper vs. JupyterLab

Hi

JupyterLab is the most widely used IDE among data scientists for running notebooks. I built Zasper(https://github.com/zasper-io/zasper), a high-performance JupyterLab alternative in Golang, that outperforms JupyterLab in several key areas. After conducting thorough benchmarks, I’m excited to share the results with the community.

Benchmark Report: https://github.com/zasper-io/zasper-benchmark?tab=readme-ov-...

Key Findings at a Glance: * Performance Gap: Zasper consistently outperforms Jupyter Server across all tested metrics * Resource Efficiency: CPU: Zasper uses up to 5X less CPU resources RAM: Zasper uses up to 40X less memory * Scalability: Zasper maintained performance with 64 kernels at 10 RPS per kernel, while Jupyter Server began failing at this load * Resilience: Zasper only failed under extremely high loads (64 kernels at 100 RPS per kernel)

I’d love to hear your thoughts and feedback!