Share Your App - Explore Page - June 2026

Dash Python
1

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 June 30, 2026.

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 name of the app that has been selected.

Happy Dash app building!

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Hi Plotly team,

I’d like to submit IMSim - Inventory Management Academy for the June 2026 Dash Explore Page cycle.

Live demo: IMSim Academy
Source code: GitHub - SchmidtCode/IMSim: Inventory Management Simulator showing how PNA could be viewed in terms of days from Order Point. · GitHub

IMSim is a Dash-based inventory management training and simulation app. It teaches replenishment concepts step by step through a lesson path, then unlocks a full simulator where users can practice inventory decisions and see live feedback.

I believe it would be a strong Dash example because it goes beyond a static dashboard or exploratory analysis. The app combines guided learning, interactive simulation, editable planning grids, live KPI feedback, and stateful user sessions inside one Dash application.

The app includes:

  • A 19-lesson academy path for inventory/replenishment concepts

  • Interactive Dash callbacks that drive lesson progression, simulation ticks, inventory decisions, purchase orders, and KPI updates

  • Daily demand simulation using synthetic/sample inventory data

  • Editable planning tables using dash-ag-grid

  • Plotly visualizations for inventory position, reorder logic, and performance feedback

  • PostgreSQL-backed or file-backed session persistence

  • A reproducible Docker/uv setup with CI and a published container image

The app fits the Business, Predictive Analytics & Forecasting, and practical operations-training categories. The demo uses sample/synthetic data so users can explore the app without needing a login, upload, or private company data.

Tech stack includes Dash, Plotly, dash-ag-grid, dash-bootstrap-components, Pandas, NumPy, SQLAlchemy/PostgreSQL, openpyxl, Flask, Gunicorn, Docker, and uv.

I want to give a special shoutout to jwhite135 (Josiah White) for helping me get this project to a sharable state.

Thank you for your consideration,
Ray

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Thank you for your submission, @SchmidtCode . I wrote you a DM to talk about the app.