Get Started

Learn the basics of Anvil by building a data dashboard

Data Dashboard

Get to grips with Anvil by building a data dashboard displaying data from a variety of sources. In this tutorial, you will:

  • Build your User Interface
  • Plot data from a Data Table
  • Plot data from a REST API
  • Deploy your app

Dashboarding

Build your data dashboard and deploy it to the web.

Plotting in Python
A guide to Python plotting libraries.
Build a Web App with Pandas
In this tutorial, we will walk through the process of building a dashboard using Pandas.
Turn Your Pandas Code into a Web App
In this tutorial, we will build a dashboard using a local Pandas script or Jupyter notebook.

Connecting Notebooks

Link code running in a Python notebook to Anvil.

Turning a Jupyter Notebook into a Web App
Put a web frontend a Jupyter notebook, using the Anvil Uplink.
Turning a Google Colab Notebook into a Web App
Put a front end on your Google Colab notebook, using the Anvil Uplink.
Deploy Machine Learning to the Web with Deepnote
Deploy a machine-learning model in a Deepnote notebook, and use Anvil’s Uplink put a web front end on it.

Deploying Data Science

Learn how to deploy your machine learning models or data science apps to the cloud.

Deploying a machine learning model with Anvil
Learn how to quickly deploy a machine learning model with Anvil’s built in Data Files service.
Deploy a Google Colab Notebook with Docker
Learn how to deploy a Google Colab Notebook on a private server with Docker.