MEAN vs. Play vs. Atmosphere

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MEAN

Play

Atmosphere

Favorites

75

Favorites

42

Favorites

0

Hacker News, Reddit, Stack Overflow Stats

  • 252
  • 16
  • 2.14K
  • 717
  • 127
  • 0
  • 11
  • 51
  • 516

GitHub Stats

Description

What is MEAN?

MEAN (Mongo, Express, Angular, Node) is a boilerplate that provides a nice starting point for MongoDB, Node.js, Express, and AngularJS based applications. It is designed to give you a quick and organized way to start developing MEAN based web apps with useful modules like Mongoose and Passport pre-bundled and configured.

What is Play?

Play Framework makes it easy to build web applications with Java & Scala. Play is based on a lightweight, stateless, web-friendly architecture. Built on Akka, Play provides predictable and minimal resource consumption (CPU, memory, threads) for highly-scalable applications.

What is Atmosphere?

The Atmosphere Framework contains client and server side components for building Asynchronous Web Applications. The majority of popular frameworks are either supporting Atmosphere or supported natively by the framework. The Atmosphere Framework supports all major Browsers and Servers.

Pros about this tool

Pros
Why do you like MEAN?

Pros
Why do you like Play?

Pros
Why do you like Atmosphere?

Cons about this tool

Cons
No Cons submitted yet for MEAN
Cons
Cons
No Cons submitted yet for Atmosphere

Pricing

Companies

36 Companies Using MEAN
106 Companies Using Play
1 Companies Using Atmosphere

Integrations

MEAN Integrations
Play Integrations
Atmosphere Integrations

What are some alternatives to MEAN, Play, and Atmosphere?

  • Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
  • Rails - Web development that doesn't hurt
  • Android SDK - The Android SDK provides you the API libraries and developer tools necessary to build, test, and debug apps for Android.
  • Django - The Web framework for perfectionists with deadlines

See all alternatives to MEAN



Interest Over Time


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