DBT Project Visualizer

DBT Project Visualizer is designed to make it easy for data teams to visualize their DBT projects. With this tool, you can understand how different models are interconnected and gain insights into the overall architecture of your data transformation workflows.

Getting Started

Prerequisites

Ensure you have the following installed:

• Python 3.8+
• AWS CLI
• Docker (required for local development)

Setup

1. Clone the repository

2. Setup virtual environment

   python3 -m venv venv
   source venv/bin/activate

3. Install the Python packages

   pip install -r requirements.txt

Local Development

To start the local development environment, simply run:

make start

This will launch the local environment, allowing you to run and test your Lambda functions as if they were deployed to AWS.

Deployment

Create GitHub Release with the tag vX.X.X and the release will be automatically deployed to AWS by our circleci deploy pipeline.