⚡ High Performance IDE 🚀 Massive concurrency 🐥 Inspired by Jupyter

Zasper is an IDE designed from the ground up to support massive concurrency. It provides a minimal memory footprint, exceptional speed, and the ability to handle numerous concurrent connections.

It's perfectly suited for running REPL-style data applications, with Jupyter notebooks being one example.

Currently Zasper is fully supported on Mac with limited support on Linux.

Benchmarks - 4X Better

Zasper uses one fourth of RAM and one fourth of CPU used by Jupterlab. While Jupyterlab uses around 104.8 MB of RAM and 0.8 CPUs, Zasper uses 26.7 MB of RAM and 0.2 CPUs.

Why I built Zasper ?

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.

Originally I wrote https://github.com/zasper-io/zasper_py (now in Private mode) to build a new frontend around Jupyter. During the process I realized, Go is the ideal choice to rebuild the Jupyter project. Go has excellent support for REST, RPC, WS protocols. Concurrency and Performance are the areas where Go shines.

Go's Concurrency: Better suited for applications requiring both concurrency and parallelism, as it leverages multiple cores effectively. It's easier to handle blocking operations without freezing the system.

Python's Event Loop: Ideal for I/O-bound applications that need to handle a lot of asynchronous tasks without blocking. However, it struggles with CPU-bound tasks and lacks native parallelism unless additional worker threads are used.

Hence the Go version of Zasper was born!

📷 Screenshots

Editor

Terminal

Launcher

Jupyter Notebook

Version Control

Command Palette

Dark Mode

Architecture

⚡️ Quick start

Zasper comes in two flavours:

1. Electron App
2. Web App

Electron App

Install zeromq

On debian

sudo apt-get install libzmq3-dev

On mac

brew install pkg-config
brew install zeromq

Go to project home and start the server

go build -o ui/public/zasper

Go to ui and run the app in dev mode

npm run electron-dev       # dev-mode

npm run electron-package   # prod-mode

Webapp

Build the frontend

cd ./ui/
npm run build

Install zeromq

On debian

sudo apt-get install libzmq3-dev

On mac

brew install pkg-config
brew install zeromq

Start the backend

Install zeromq.

Go to project home and start the server

go build -tags webapp

This will crate a binary called zasper. Now add this binary to your path.

Run zasper in any directory to see if the installation was done correctly.

% zasper -h
Usage of ../zasper:
  -cwd string
    	base directory of project (default ".")
  -debug
    	sets log level to debug
  -port string
    	port to start the server on (default ":8888")

Go to any directory you want to serve and run zasper. This starts zasper server in the directory.

% zasper 
2024/12/15 20:39:12 Zasper Server started! Listening on port:8888

███████╗ █████╗ ███████╗██████╗ ███████╗██████╗ 
╚══███╔╝██╔══██╗██╔════╝██╔══██╗██╔════╝██╔══██╗
  ███╔╝ ███████║███████╗██████╔╝█████╗  ██████╔╝
 ███╔╝  ██╔══██║╚════██║██╔═══╝ ██╔══╝  ██╔══██╗
███████╗██║  ██║███████║██║     ███████╗██║  ██║
╚══════╝╚═╝  ╚═╝╚══════╝╚═╝     ╚══════╝╚═╝  ╚═╝

Go to http://localhost:8888

Logging

By default, the application writes logs to the following locations:

on Linux: ~/.config/zasper/logs/main.log
on macOS: ~/Library/Logs/zasper/main.log
on Windows: %USERPROFILE%\AppData\Roaming\zasper\logs\main.log

Wiki

For Zasper architecture, and other info refer wiki.

Contributing

You can contribute in multiple ways:

• Documentation
• Bug Filing
• Submitting PRs or reviewing them

Code of Conduct

See Code of conduct

Roadmap

Data Scientists and AI Engineers spend most of their time running Notebooks on IDEs and hence need a robust ecosystem. Zasper aspires to be a full fledged IDE and the future development will be along making it more efficient by:

• Allowing custom data apps support rather than just Jupyter Notebooks.
• Easier integration with the existing tools.
• Zasper Hub for Self Hosted deployment in the cloud.

Copyright

Prasun Anand

⚖️ License

Zasper is licensed under AGPL-3.0 license.