Turn ML Models to Web Apps in Minutes

Build interactive models with nothing but Python

An image classifier built from a Google Colab notebook

An image classifier built from a Google Colab notebook

Anvil is the quickest and simplest way to host and share your machine learning models. Not a web developer? No problem. You can write your whole web app in Python – no Javascript or HTML required. Anvil’s drag-and-drop designer makes it easy to build and customise your UI without knowing font-end web development.

With Anvil, you have all the power and flexibility of Python. Use all your favourite libraries, such as NumPy, Matplotlib, Pandas, SciPy, Keras, Tensorflow and many more. Oh, and we’re open source.

I built a machine learning competition site in Anvil for a machine learning class I’m teaching this semester […] I was able to put it together in a day which was pretty amazing.

Robert Ritz

Founder, LETU Mongolia

Turn Python Notebooks into Web Apps

It’s simple to build a front end on top of your existing notebooks. You can easily connect your existing Python code to your Anvil app with the Uplink and use the drag-and-drop designer to build a UI. Learn how to turn a Google Colab notebook into a web app or watch the video below to see how simple it is to deploy a machine learning model from a Jupyter Notebook:

Prior to Anvil, there was no standalone system that would allow a Jupyter Notebook to connect to a web application in such a user-friendly fashion.

Joshua Tan

Assistant Professor, LaGuardia Community College, CUNY

Visualize and Share Data on the Web

An interactive financial tool built with Plotly

An interactive financial tool built with Plotly

With Anvil, you can build interative web apps to analyse and share your data and results. Import, process and visualise data all inside Anvil, all with Python. There are no limits – Anvil is a full-sized application platform.

Anvil comes with powerful built-in integrations such as Plotly, so you can skip the fuss and get straight to writing code. Learn more about plotting in Anvil.

See how it’s done: Try our Building a Dashboard in Python tutorial.

With Anvil, we can efficiently build amazing applications without the need for deep knowledge of front-end web development.

Steven Wu


The Best Platform for Deploying Machine Learning on the Web

Anvil is simple enough for beginners but powerful enough for professional devlopers. Get started with a tutorial or read our documentation to learn more about what you can build. With Anvil, you have the power to:

  • Ship apps with one click: Publish your apps online with a single click, or keep them private for just your colleagues. Either way, there’s nothing extra to install – your app is live right away.
  • Manage databases: Using Anvil’s built-in database means querying and editing data with no-nonsense Python statements.
  • Collaborate with colleagues: With Anvil, git version control is built in. Connect to GitHub to manage your codebase, create pull requests and start code reviews.
  • Store and manage large datasets: Use Anvil’s Data Files Service to attach large files, such as CSVs and machine learning models, to your app.
  • Install Anvil on your own server: You need to keep your data within your own network? No problem. See here for more information, or email enterprise@anvil.works to set up a trial.

It’s Free to Get Started!

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Find out more

Anvil is a powerful platform for deploying your Machine Learning models. Check out these articles and tutorials to see for yourself: