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.
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.
2. Zika Outbreak Explorer
This is a Dash that utilizes Plotly’s crossfilter to look at Zika incidents over time.
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.
4. Climate Change Life Events
Climate history and possible futures showing your important life events, inspired by Sophie Lewis.
5. Earthquake Explorer
A Plotly Dash application showing earthquake data from the US Geological Survey.
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.
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!
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.