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  1. Stackups
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  4. Platform As A Service
  5. Anvil vs Flynn

Anvil vs Flynn

OverviewComparisonAlternatives

Overview

Flynn
Flynn
Stacks14
Followers48
Votes16
GitHub Stars7.9K
Forks592
Anvil
Anvil
Stacks51
Followers219
Votes23

Anvil vs Flynn: What are the differences?

Key Differences between Anvil and Flynn

1. Language Compatibility: Anvil is primarily designed for Python development, providing developers with a visual, drag-and-drop interface to build web applications. In contrast, Flynn is a multi-language platform that supports a variety of programming languages such as Java, Ruby, Node.js, and more. This flexibility allows developers to choose the language that best suits their project requirements.

2. Deployment Options: Anvil is a fully managed platform as a service (PaaS) that handles all aspects of deployment, scalability, and infrastructure management. Developers can focus solely on building their applications without worrying about server configuration or scaling. Flynn, on the other hand, provides a self-hosted PaaS solution that allows developers to deploy their applications on their own infrastructure. This gives developers more control but also requires them to handle the server setup and maintenance.

3. Hosting Flexibility: Anvil offers a cloud-based hosting model, where applications are hosted on Anvil's infrastructure. This eliminates the need for developers to set up their own servers and provides high scalability. In contrast, Flynn allows developers to host their applications on any infrastructure, giving them the flexibility to choose their preferred hosting provider or even use their own servers.

4. Development Workflow: Anvil offers a visual development environment with a drag-and-drop interface, making it easier for non-technical users to build web applications. It also provides integrated version control and collaboration features for team development. Flynn, on the other hand, follows a more traditional development workflow, where developers write code using their preferred IDE or text editor and use command-line tools for deployment and management.

5. Scalability and Load Balancing: Anvil automatically scales applications based on demand, ensuring that they can handle high traffic loads without downtime. It also provides built-in load balancing to distribute traffic evenly across multiple instances. Flynn also offers scalability and load balancing features, but since it is a self-hosted platform, developers have more flexibility to customize and optimize these aspects according to their specific needs.

6. Community Support and Ecosystem: Anvil has a growing community and ecosystem around it, with resources like forums, tutorials, and pre-built components to aid development. It also integrates with popular Python libraries and frameworks. Flynn, being a more general-purpose platform, has a wider community and ecosystem, with support for multiple programming languages and a broader range of libraries and frameworks.

In summary, Anvil is a Python-focused, fully managed PaaS platform with a visual development interface, while Flynn is a multi-language, self-hosted PaaS solution that provides more customization options. Anvil offers cloud-based hosting and a simplified development workflow, while Flynn allows developers to host their applications on any infrastructure and offers more control over scalability and load balancing.

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Detailed Comparison

Flynn
Flynn
Anvil
Anvil

Flynn lets you deploy apps with git push and containers. Developers can deploy any app to any cluster in seconds.

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)!

Flynn goes beyond 12 factor apps. Run any Linux process written in any language or framework, even stateful apps on your own servers or any public cloud.;Scaling or adding a new cluster is simple: just add more nodes. Everything is containerized, Flynn takes care of distributing work across the cluster.;Flynn is 100% free and open source. Flynn works great out of the box, and since Flynn is modular and API-driven it's easy to modify and swap components to suit your needs.
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
Statistics
GitHub Stars
7.9K
GitHub Stars
-
GitHub Forks
592
GitHub Forks
-
Stacks
14
Stacks
51
Followers
48
Followers
219
Votes
16
Votes
23
Pros & Cons
Pros
  • 6
    Free
  • 5
    Supports few types of containers:libvirt-lxc, docker
  • 2
    PostgreSQL HA
  • 2
    Easy setup
  • 1
    12-factor methodology
Pros
  • 6
    Fast dashboards deployment
  • 4
    Open source
  • 4
    Python everywhere
  • 3
    Drag-and-drop UI builder
  • 3
    Easy to deploy
Integrations
Scala
Scala
Rails
Rails
Ruby
Ruby
Clojure
Clojure
Grails
Grails
Java
Java
Golang
Golang
Django
Django
PHP
PHP
PostgreSQL
PostgreSQL
Google Drive
Google Drive
Stripe
Stripe
Python
Python
Plotly.js
Plotly.js
Google Maps
Google Maps

What are some alternatives to Flynn, Anvil?

Heroku

Heroku

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.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

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.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

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.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

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