7 New Dash Apps Made by the Dash Community

We are always looking for new and creative ways that the community is utilizing Dash and Plotly to make their web apps.

If you’re interested in learning to make these apps yourself, a great starting point is our workshop series. Our next workshops, in Boston, will offer advanced training for Dash and R Shiny April 14–15. Chris Parmer, the creator of Dash, will be discussing this open source library for creating analytic web apps with Python. You’ll learn how to create Dash apps like the ones in this post, plus more advanced ones and the best usage of the latest Dash features.

In the meantime, check out these 7 fresh Dash apps made by the Dash community. Alternatively, you can view a variety of apps at the Dash Gallery maintained by Plotly.

Dash: build beautiful web-based interfaces in Python

1. Great Balls of Fire: NASA Fireballs Open API

This Dash app was made using fireball data from 1988 to 2017 from NASA’s Jet Propulsion Laboratory.

Dash app | Dash author: Ivan Nieto | BitBucket code

2. Zika Outbreak Explorer

This is a Dash that utilizes Plotly’s crossfilter to look at Zika incidents over time.

Dash app | Dash author: Charley Ferrari | GitHub code

3. Finding Bigfoot

Here’s an exploratory Dash app based on a Bigfoot Sightings from data.world. It demonstrates several plots (including a map), a grid layout built with Bootstrap, interactions with an input field, and caching.

Dash app | Dash author: Timothy Renner | GitHub code

4. Climate Change Life Events

Climate history and possible futures showing your important life events, inspired by Sophie Lewis.

Dash app | Dash author: Greg Schivley | GitHub code

5. Earthquake Explorer

A Plotly Dash application showing earthquake data from the US Geological Survey.

Dash app | Dash author: Giacomo Debidda | GitHub code

6. Street Quality Identification Device

The technology consists of taking pictures of the streets (with a camera installed on a vehicle) every second, and combine this information with an accelerometer data, measuring the ride quality of the streets. The first city to use this technology is the city of Syracuse and the result is below.

Dash app | Dash author: Adriano M. Yoshino| GitHub Code

7. Visualizing MRI Data

Visualization tool for (f)MRI data-sets using Plotly Dash. Submitted to the TransIP VPS competition — and it won the 1st prize!

Dash app | Dash author: Lukas Snoek | GitHub Code


Not a Python user? Carson Sievert, a freelance data scientist and maintainer of multiple R packages, including the R package Plotly, will be conducting a workshop on advanced data visualization for R and Shiny April 14–15.

Interested in attending the Dash or R/Shiny workshops? Register here.

Can’t make it to Boston? There are also upcoming workshops in Washington DC (June 9–10) and New York City (November 17–18).