Step-by-Step Guide

Getting Started with Golit

Architect high-performance data workflows with editorial precision. Follow this guide to initialize your environment and build your first reactive directed acyclic graph (DAG).

01 Prerequisites

terminal

Python Environment

Requires Python 3.11 or higher for optimal async performance and structural pattern matching.

python --version # 3.11.0+

database

Redis Store

State persistence and message brokering are handled via Redis. Ensure a local instance is running.

redis-cli ping # PONG

02 Installation

pip install golit --upgrade

03 Minimal Example

Create a reactive dashboard using Golit's core primitives. This script demonstrates state management with gl.slider and reactive dependencies with gl.derived.

description app.py

import golit as gl

# 1. Define atomic state
slider = gl.slider(label="Input Value", min=0, max=100, default=42)

# 2. Derive state (Reactive Node)
@gl.derived(depends_on=[slider])
def compute_square(val):
    return val ** 2

# 3. Architect the Layout
layout = gl.layout(
    title="Technical Overview",
    children=[slider, compute_square]
)

if __name__ == "__main__":
    gl.run(layout)

SLIDER 42.0

DERIVED 1764.0