Thank you to all community members that have participated in the Michelin Plotly app challenge. The Plotly staff really enjoyed reviewing your apps and exploring the multiple features, graphs, and LLM integrations.
We are truly honored to have such a dedicated group of community members who have mind-blowing expertise in Plotly and Dash.
The Plotly judging panel has come back with their decision to grant the first place to…
Community member, Ian, for his Michelin Dash app with the following code.
A beautiful and polished Dash app. Excellent UX design choices and very good use of interactive controls and filters, single and multi-filters. Choosing to separate the app into a “Guide” view and an “Analysis” view is very effective in encouraging users to interactively explore while not overloading them with too much info before they’re ready to dive deeper. This guided analytics approach is very effective.
The analysis tab, specifically, is so rich and allows the viewer to slice by economic health and even overlay restaurants by wine regions in France.
Community member, Niek, for the following Dash app with the code.
This app has a great recommender interface with clear and quick results. It has an attractive UI/UX design with a helpful overview dashboard, and the ability to drill down into certain charts is awesome. Plotly maps are used effectively and we appreciated the symbology applied to the maps.
The integration of a LLM is a strong highlight, offering accurate and helpful responses to general questions. Overall, the app is well done!
Community member, Nils, for his Dash app with the following code.
Strong opening view with summary statistics clearly shown. Nice navigation and drill-downs. The app has a very useful LLM integration with “plan my day” and “alternative restaurants” functionalities. It offers a well-defined customer journey, especially for travelers.
There is good use of Plotly legend actions to toggle on and off without needing a separate control. As a cherry on top of the ice cream, we loved the styling of the bar charts with rounded edges as well as the color scheme chosen.
A big thank-you and a shout-out to all the other community members and the apps that they submitted to the challenge: