Quick Start

RapidCanvas offers three ways to build and run machine learning workflows, allowing you to choose the best fit for your development needs.

1. SDKs – Local Development

Install the SDK on your local system to seamlessly connect with RapidCanvas and use its syntax in your local development environment. This method provides a simple way to interact with RapidCanvas, enabling you to:

• Create project

• Run recipes

• Build DataApps

• Execute various ML workflows

Refer to Setup and Installation section.

2. Hosted Notebook – Ready-to-Use Environment

With the Hosted Notebook, everything is pre-installed, and authentication is handled automatically. You can start working immediately without worrying about dependencies or setup, making it a hassle-free way to interact with RapidCanvas using Python functions.

Refer to Notebook Guide.

3. Code Recipe – In-Platform Coding

The Code Recipe option on the UI allows you to write, execute, and manage logic directly within the RapidCanvas platform.

Refer to Basic Guide.

The same syntax applies across the SDK, Hosted Notebook, and Code Recipe, but the way you create and execute workflows will vary based on the chosen method.