zasper-io/zasper
High Performace IDE for Jupyter Notebooks
What it solves
Zasper is a high-performance IDE designed to handle massive concurrency and high loads with a minimal memory footprint. It serves as a faster, more resource-efficient alternative to JupyterLab for running Jupyter Notebooks and managing code environments.
How it works
Zasper implements the Jupyter wire protocol, allowing it to be compatible with all Jupyter kernels (including Python, R, Julia, Ruby, Javascript/Deno, and Go). It operates as a server-based web app that can be run locally or hosted in protected mode with JWT authentication for secure remote access.
Who it’s for
It is primarily aimed at data scientists and AI engineers who require a robust, high-throughput IDE for running notebooks and managing multiple concurrent connections without the high resource overhead of traditional tools.
Highlights
- Resource Efficiency: Up to 5x less CPU usage and 40x less RAM usage compared to JupyterLab.
- Broad Kernel Support: Compatible with all Jupyter kernels, including support for Conda environments and UV.
- Integrated Tooling: Includes a built-in terminal, version control (Git) integration, and a command palette.
- Cross-Platform: Fully supported on macOS and Linux, with limited support for Windows via WSL.
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