This is a demo of the Dash interactive Python framework developed by Plotly.
Dash abstracts away all of the technologies and protocols required to build an interactive web-based application and is a simple and effective way to bind a user interface around your Python code. To learn more about Dash, take a look at our documentation. If you're interested in deploying this application, check out Dash Deployment Server - Plotly's commercial offering for hosting and sharing Dash Apps on-premise or in the cloud.
First create a virtual environment with conda or venv inside a temp folder, then activate it.
virtualenv venv
# Windows
venv\Scripts\activate
# Or Linux
source venv/bin/activate
Clone the git repo, then install the requirements with pip
git clone https://github.com/plotly/dash-sample-apps
cd dash-sample-apps/apps/dash-financial-report
pip install -r requirements.txt
Run the app
python app.py
This is an interactive, multi-page report which displays a variety of tables, bullet points, and Plotly interactive plots in a report format. The app incorporates custom local and external CSS to display distinct pages for PDF print.
- Dash - Main server and interactive components
- Plotly Python - Used to create the interactive plots
The following are screenshots for the app in this repo:
