Giter Site home page Giter Site logo

ashishmahendra / jaseci Goto Github PK

View Code? Open in Web Editor NEW

This project forked from jaseci-labs/jaseci

0.0 0.0 0.0 228.33 MB

The Official Jaseci Code Repository

Home Page: https://jaseci.org

License: MIT License

Python 65.42% Shell 0.23% ANTLR 0.46% Dockerfile 0.07% TypeScript 8.98% Smarty 0.05% TeX 15.99% CSS 0.56% HTML 1.20% JavaScript 6.64% HCL 0.31% Rust 0.10%

jaseci's Introduction

Jaseci

jaseci_core Unit Tests PyPi version jaseci_serv Tests PyPi version Jac NLP PyPi version Jac Vision PyPi version Jac Speech PyPi version Jac Misc PyPi version Code style: black

Jaseci: Build the Next Generation of AI Products at Scale

The Jaseci ecosystem, is an open-source technology stack composed of three components: Jaseci Core, the fundamental execution engine, Jaseci Serv, a cloud-scale runtime engine with diffuse capabilities, and Jaseci AI Kit, a collection of state-of-the-art AI engines and pre-trained models contributed by the Jaseci team and the open source community. Additionally, Jaseci Studio, is a comprehensive IDE for programming and debugging Jaseci programs.

Jaseci presents a groundbreaking computational model that aims to simplify the process of developing AI applications. Through its exclusive data-spacial programming approach and diffuse execution environment, Jaseci has accomplished remarkable feats, such as decreasing development time by tenfold and almost completely removing standard backend code. Jaseci is invented by professors and researchers from the University of Michigan and has been open-source since 2021. Jaseci has been used by dozens of developers to create commercial products in various domains serving tens of thousands requests per day.

Getting Started

To install Jaseci and all its packages, refer to the comprehensive Jaseci Installation Guide.

For a quick start, install the jaseci python package via pip:

pip install jaseci

To set up a Jaseci server, please follow the steps outlined in the Jaseci Server Setup guide. To set up Jaseci Studio, please follow the instructions outlined in the following guide.

A quick hello world example:

walker init{
  std.out("Hello World");
}

To run this example, save the code in a file named main.jac file and run with jac run command in jsctl shell;

jsctl

This will execute the Jaseci command line environment jsctl.

jaseci> jac run hello.jac

Write Your First Jaseci Application

Follow these links to access more tutorials:

Advanced Tutorials

Resources

Community

jaseci's People

Contributors

marsninja avatar ypkang avatar gim3l avatar ashishmahendra avatar amadolid avatar gorgeous-patrick avatar tharukackasthuri avatar chandralegend avatar timothy-shiwprasad avatar ashagraw91 avatar shawn-jemmott avatar rolexalexander avatar codedbychavez avatar panikingginoo12 avatar itsbharatsaini avatar satyamrajawat avatar pathakshyam avatar brianlifelogify avatar eldonm avatar azealin avatar jzhou1402 avatar apatel66 avatar twschutz avatar daynauth avatar brightp-py avatar jcun23 avatar mattthurling avatar o4ugdf54plqu avatar yupitoum avatar dominicbraam avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.