streamlit_email_dashboard

This sample will show you how to create an email dashboard using Streamlit.

You can follow along step-by-step in our blog post "Streamlit: Building an Email Dashboard".

Setup

System dependencies

• Python v3.x

Gather environment variables

You'll need the following values:

CLIENT_ID = ""
CLIENT_SECRET = ""
ACCESS_TOKEN = ""

Add the above values to a new .env file:

$ touch .env # Then add your env variables

Install dependencies

$ pip3 install streamlit # Pure Python package that allows you to create data scripts into web apps in minutes
$ pip3 install python-dotenv # Environment variables
$ pip3 install matplotlib # Library for creating static, animated, and interactive visualizations
$ pip3 install pandas # Python data analysis library

Usage

Run the file streamlit_email_dashboard.py:

$ streamlit run streamlit_email_dashboard.py

Streamlit will open up your browser on port 8510.

Learn more

Visit our Nylas Python SDK documentation to learn more.