Thank you for your interest in submitting your Dash app to the Plotly Explore Page platform, visited by thousands of Dash users daily.
Current submissions cycle will go until October 31, 2025.
To submit your app, please reply to this thread directly.
Please refer to the following suggestions when building and submitting your app. The more suggestions your app adheres to, the more likely it is to be added to the Explore Page.
Apps in the following categories are encouraged: Energy & Utilities, Business, Predictive Analytics & Forecasting, NLP, Connecting to APIs
App should look as good or better than the current apps on the platform
App should use different data than the other apps and try to cover a unique story
Content/story should be neutral or positive
App with live data that updates itself is encouraged
App that goes beyond exploratory analysis – app that perform advanced analytics
App that uses 3rd-party libraries (e.g., SciPy, spaCy, TensorFlow, Scikit-learn)
App that solves real-life problems, app that could have practical use cases
App content and results should be easy to access (we discourage requiring log-ins or uploading data as a precursor to seeing the full app).
The Plotly Example Apps team will review the apps submitted and update this post with the names of the apps that have been selected.
This dash app provides a platform for researchers (and non-researchers alike) to explore gene expression patterns in the mammalian autonomic nervous system (ANS). This “cell atlas” contains genetic data from over 70,000 cells across 8 different studies. It provides an integrated view of the autonomic nervous system facilitating future study on the cellular organization of the ANS.
The data is represented as 2 interactive 3-Dimentional dynamic UMAP scatter plots where each dot represents a single cell. Cells are colored by gene expression level on the left and dataset on the right. Expression data from over 20,000 genes can be searched using the search bar.
Various filters such as ANS division and ganglia are available for comparative analysis. In addition to the filters, there are two toggles: one for plotting neurons vs all cells, and one for switching between the original UMAP embedding and Harmony-integrated UMAP embedding. (Harmony integration reduces batch-specific biases and aligns datasets to reveal biologically relevant clusters.)
For more information on the ANS and its genetic makeup see here.
