⚡ 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 supported on Linux and Mac.

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

⚡️ 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.