Mean Stack Web Development

Mean Stack Web Development

MEAN is a free and open-source JavaScript software stack for building dynamic web sites and web applications.


MEAN Stack, a free and open-source JavaScript software stack provides a great worth for developers in designing websites and web applications. A combination of MongoDB, ExpressJS, AngularJS, and Node.js are well-managed web development tools that are model and classic option for creating real-time web apps.

Why MEAN Stack for web development?

  • It makes use of the power of modern SPAs (single-page applications).
  • MEAN Stack is a user-friendly full-stack
  • Fast MVP development and scalability.
  • Increased developer flexibility and efficiency.
  • Excellent performance.
  • Reduced development cost.
  • Open-source framework.
  • Cloud Integration.
  • It lets the developer write the entire code in JavaScript, from client to server
  • It supports the MVC (Model View Controller) architecture.
  • The huge module library of node.js
  • JSON is used to transfer the data.

What makes CANOPUS INFOSYSTEMS best for MEAN Stack web development?

In recent times, MEAN stack is the priority from making dynamic single-page applications to complex enterprise and social media apps. MEAN stack technologies, when used in a bundle offers benefits for business owners and their enterprises.

Canopus Infosystems is an ISO 9001:2008 Certified Organization based in India. We have served many best-in-class projects from mid-level to high-level organizations. It is one of the most renowned digital product development company that define, plans and delivers enterprise software solutions. We also provide end to end support and serves the customers with the best products and services across the globe.

The team at Canopus Infosystems makes use of this cutting-edge technology for developing interactive web applications such as:

  • Complimentary business and enterprise apps.
  • Multimedia streaming apps.
  • Real-time applications (social networks, chats, and forums).
  • Web apps using big data.