Dash Club 19: Introducing Plotly Studio, Plotly OFTW App Challenge Winners, Figure Friday, App of the Month
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Hey everybody — big news this week. We’ve launched early access to our new AI product Plotly Studio and our app hosting and management service Plotly Cloud.
Introducing Plotly Studio
Plotly Studio is a new AI-native desktop application for building beautiful data apps. It can generate a pretty amazing app in 2 minutes with nothing but your data. No fussing around. Apps can be edited in natural language specification files, prompts, or in Python.
Plotly Studio combines the world knowledge of LLMs, the analytical prowess of Python, a suite of built-in best practices by Plotly, and the flexibility of our visualization libraries into a self-contained desktop application. The apps can be published to Plotly Cloud (our new service for hosting Dash apps) or Dash Enterprise (our behind-the-firewall platform for managing apps in your org).
There’s so much cool stuff in this product and I’m feeling really proud and excited about it all. There’s too much to cover in this newsletter, so check out the full story in my blog post.
Here’s the full demo video. Feel free to forward along and share. We’re really excited about this! If you have any questions or comments, respond to this email or sign up for early access; we’d love to hear from you.
Plotly OFTW App Building Challenge
Thank you to all community members who participated in the Plotly OFTW App Challenge. We received amazing app submissions that the One For The World team felt honored to judge.
Given how impressed the Plotly team was with the apps submitted, we hosted a challenge livestream on May 29 to allow app authors to showcase their apps to the world. Watch the recording.
And the winners are… 🥁
🥇 OFTW Charity Dashboard, created by Soubhagya, with the following code.
This app is clean, well-organized, and intuitive. The team found it very easy to use and navigate, and they appreciated the additional context provided by the author. The author also covered many of the metrics OFTW was hoping to cover. The charts provided good detail on the metrics, and it was helpful to see Money Moved and Pledge Performance as separate tabs. Bonus points for the Insights feature as well.
🥈 The OFTW Dash App, created by Ramzy.
The OFTW team loved interacting with the custom pivot table creator and the graphs associated with the tables. The customization of the app and the incredible robustness really made it stand out. Every summary card can be clicked to get more visualizations and dive deeper into the data. There is much to explore in this app, and its KPIs are also very close to what OFTW was looking for.
🥉 Alonso’s Challenge App, with the following code.
The style and color scheme of this app is beautiful. The app has an intuitive and detailed breakdown of the metrics. The control panel at the top has three dropdowns that cover multiple views of the “money moved” data. In addition, the summarizing cards at the top of the tabs offer quick insight into the data, and the Methodology tab is very helpful for people not familiar with the dataset or the inner workings of the code.
Thank you Alonso for also integrating the LLM to the app.
Figure Friday
✨ A reminder of the Plotly initiative: Figure Friday.
Every Friday, Plotly will release a dataset and a sample figure. The community will have one week — until midnight of the following Thursday — to enhance that figure, build their own Plotly figure, or create a Dash app.
The goal of this initiative is to enhance our Plotly skills, collaborate among community members, and share our creations with the world, while we develop our personal portfolio of data visualizations and apps.
Check out last week’s data set on the Plotly forum.
To keep track of the weekly data sets we will be releasing, please visit the Plotly forum under the figure-friday tag or join the Plotly Discord channel.
App of the Month
After finding data from the Bureau of Transportation Statistics, community member Jordan decided to dive back into Plotly and Dash to work on a personal US Flights analysis project.
This multi-page Dash app that has a Postgresql backend also boasts of 15 different visualizations to play around with and explore. It includes passenger, airport, and route statistics for US Domestic and International Carriers. It also covers on-time performance statistics for US Domestic Carriers only.
We loved this app not only for its professional styling but also for succinctly summarizing large amounts of flight data in the US and making it easy to explore. No need to go through large excel sheets and apply formulas to understand the data. Simply plug in the airport you’re interested in and learn about the passenger analytics, or choose your carrier of interest to find out their average arrival delays.
🙏 Thank you Jordan for creating this app and and submitting it to Plotly Examples Page.
See more Dash apps or share your own in the Community Forum’s Show and Tell tag. If you would like your app to be considered for the next edition of the Dash Club newsletter or for the Dash Explore Page, please submit your app by clicking the Share Your App button.
Version Check
- Dash Enterprise Platform 5.7 (launch webinar)
- Dash Open Source Framework 3.0.4 (changelog)
- Dash AG Grid 31.3.1 (changelog)
- Plotly.py 6.1.2 (changelog)
- Plotly.js 3.0.1 (changelog)
Upcoming Events
🌉 June 10–12: Heading to the Data+AI Summit in San Francisco? Swing by Booth #F612 to meet the Plotly team and see how Dash Enterprise is powering AI-driven apps for modern data teams.
🤩 June 10: In San Francisco on June 10? Join our in-person community meet up and hear from Dash creator Chris Parmer and Plotly Community lead Adam Schroeder.
📊 June 26: Tune into our live webinar to see how teams use Dash Enterprise to turn data into production-ready applications faster and smarter!
Have a great week!
Chris (@chriddyp) & Adam (@adamschroeder)
