Julia Function Plotter Demo on Numerous

A simple web application built with Julia that demonstrates how to deploy and run Julia applications on the Numerous platform. The app showcases interactive function plotting with a modern web interface.

Features

• Interactive web interface for mathematical function plotting
• Support for multiple function types:
  • Sine
  • Cosine
  • Tangent
  • Quadratic (x²)
  • Linear
• Customizable plot range and step size
• Real-time plot generation
• Containerized deployment using Docker
• Easy deployment to Numerous platform

Local Development

Prerequisites

• Julia 1.6+
• Docker (for container builds)
• Numerous CLI (for deployment)

Running Locally

1. Clone this repository
2. Navigate to the project directory
3. Run directly with Julia:

   julia -e 'using Pkg; Pkg.add(["HTTP", "Plots", "JSON"])'
   julia app.jl

   Or using Docker:

   docker build -t julia-demo .
   docker run -p 8080:8080 julia-demo

4. Open your browser and navigate to http://localhost:8080

Deploying to Numerous

1. Sign-up on www.numerous.com by clicking sign-up and follow the steps.

2. Install the Numerous CLI if you haven't already

   pip install numerous

3. Login to Numerous:

   numerous login

4. Deploy your app:

   numerous deploy -o <your-organization-slug>

   To obtain an organization slug you can list your organizations with:

   numerous organization list

Application Structure

• app.jl - Main application file containing the web server and plotting logic
• Dockerfile - Container configuration for building and running the app
• Project.toml - Julia package dependencies
• numerous.toml - Numerous platform configuration

Usage

1. Access the deployed app through your Numerous dashboard or local instance
2. Select a function type from the dropdown menu
3. Adjust the plotting parameters:
   • Start Value: Beginning of x-axis range
   • End Value: End of x-axis range
   • Step Size: Granularity of the plot
4. Click "Generate Plot" to create and view the mathematical function

Technical Details

The application is built using:

• Julia HTTP.jl for the web server
• Plots.jl for generating mathematical visualizations
• JSON.jl for data handling
• Docker for containerization
• Numerous platform for deployment and hosting