Data Analytics Dashboard Starter Kit with Neon, Streamlit, and Airflow

This is a submission for the Neon Open Source Starter Kit Challenge : Ultimate Starter Kit

My Kit

The Data Analytics Dashboard Starter Kit is an open-source project designed to provide a solid foundation for building interactive data analytics dashboards. This kit utilizes Neon, a serverless PostgreSQL database, for efficient data storage and management. For building the interactive dashboard, it uses Streamlit, which makes it easy to create web-based visualizations. To automate the fetching, processing, and loading of data into Neon, I used Airflow managed through Astronomer.

This starter kit is designed for anyone, even those with limited experience in backend or frontend development, who wants to create a data dashboard for proof-of-concept or real-world applications. For demonstration purposes, I chose cryptocurrency data from the CoinGecko API, but the kit is flexible enough to handle any type of data.

Explore the live demo of the dashboard: Data Analytics Dashboard Starter Kit.

Link to Kit

Check out the repository with all the instructions and setup details here.

Your Journey

I chose this stack because it provides a simple yet powerful way to manage and visualize data. Neon offers a scalable and serverless PostgreSQL solution, Streamlit makes it easy to build interactive dashboards, and Airflow automates the data workflows efficiently. I wanted to create a kit that can be used by anyone with limited knowledge in web development, so you can easily deploy it and start using it right now for your POCs and apps.

This project showcases how to smoothly integrate Neon, Streamlit, and Airflow using Python. It demonstrates building real-time interactive dashboards, automating data collection from external APIs, and offering dynamic filtering options for effortless data analysis.