Show HN: Zasper – A High Performance IDE for Jupyter Notebooks
a year ago
- #benchmarking
- #concurrency
- #performance
- Zasper outperforms Jupyter Server in all tested metrics, including CPU and RAM usage.
- Zasper uses up to 5X less CPU and 40X less memory compared to Jupyter Server.
- Zasper maintains performance with 64 kernels at 10 RPS per kernel, while Jupyter Server fails at this load.
- Zasper recovers more gracefully from overload conditions and only fails under extremely high loads.
- Zasper is designed for massive concurrency, offering minimal memory footprint and exceptional speed.
- Benchmarking focused on CPU usage, RAM usage, throughput, latency, and resilience.
- Jupyter Server crashes at lower request throughput due to message queue issues and Python's scalability limits.
- Zasper's Go-based architecture provides better performance and scalability compared to Jupyter's Python-based setup.
- Zasper's efficiency improves under higher loads, making it suitable for large-scale deployments.
- Zasper offers improved responsiveness, lightweight operation, cost efficiency, and better scalability.