What is Anvil?
Anvil is a platform for building and hosting full-stack web apps written entirely in Python. Drag & drop your UI, then write Python on the front-end and back-end to make it all work. Web development has never been this easy (or fast)!
Anvil is a tool in the Platform as a Service category of a tech stack.
Who uses Anvil?
20 developers on StackShare have stated that they use Anvil.
Python, Google Drive, Google Maps, Stripe, and Plotly.js are some of the popular tools that integrate with Anvil. Here's a list of all 6 tools that integrate with Anvil.
Pros of Anvil
Fast dashboards deployment
Drag-and-drop UI builder
Quickly deploy a full stack
Create PDFs easily
Easy to deploy
- Drag and drop UI builder
- Full-stack Python
- Client-side Python
- Built-in database
- Built-in user authentication
- Simple integration with existing services and code
- On-site installation supported
- Expose REST APIs with one line of code
- Rich set of UI components: Forms, plotting, maps, and more
- Built-in support for all your favourite Python packages
- Simple but powerful version control
- Team collaboration
- Active Directory integration
Anvil Alternatives & Comparisons
What are some alternatives to Anvil?
See all alternatives
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.