Zasper is blazingly fast and scales to all your CPU cores unlike Jupyterlab and uses only a quarter of RAM and CPU used by Jupyterlab. While Jupyterlab uses around 104.8 MB of RAM and 0.8 CPUs, Zasper uses 26.7 MB of RAM and 0.2 CPUs.
Hi, I am building Zasper, a blazingly fast and 4X better alternative to Jupyterlab that solves for efficiency, speed and User Experience. There are several proprietary JupyterLab-like frontend tools available in the market, such as Databricks Notebooks and Deepnote Notebooks. However, none of them are free or open-source, and most require users to work in the cloud. Even the modest personal computers these days are typically equipped with at least 8 GB of RAM, an 8-core CPU, and a decent 4 GB GPU. I saw an opportunity to create a solution that works seamlessly on local machines. That’s why I decided to build Zasper which can effectively utilize the resources available and guarantee maximum efficiency.
Zasper scales to all your CPU cores unlike Jupyterlab and uses only a quarter of RAM and CPU used by Jupyterlab. While Jupyterlab uses around 104.8 MB of RAM and 0.8 CPUs, Zasper uses 26.7 MB of RAM and 0.2 CPUs.