7 New Dash Apps Made by the Dash Community

By Anna Anisin, Formulated.by Sponsored Post.

We are always looking out for new and creative ways that the community is utilizing Dash and Plotly to make their web apps. If you are interested in learning to make these yourself, a great starting point is with our next Plotcon event.

This time we will be landing in Boston. This two-day event will offer advanced data visualization workshops for Dash, R, Shiny and Dash R from April 14–15. Chris Parmer, the creator of Dash and co-founder of Plotly, will be discussing his open source library for creating user interfaces with Python to build complex web apps just like these over a two-day master class.

Use code KDNUGGETS and save 20% on the dash workshops.

In the meantime, take a look at 7 fresh Dash apps made by the Dash community. Alternatively, you can view a variety of apps at the Dash Gallery that is 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

The Dash community certainly has fun with our platform. Carson Sievert, a freelance data scientist and maintainer of multiple R packages including Plotly, will also be conducting a master’s class on advanced data visualization in R. This will allow participants to rapidly pose queries about data with interactive web graphics made using the R package Plotly.

Interested in attending one of these workshops? Register here.

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

Until the next time, keep building those web apps with Dash for your chance to be featured. Hope to see you at the next Plotcon.