The Tornado framework is a high-performance, scalable web server and web application framework written in Python. Tornado is ideal for real-time web applications and can handle many simultaneous connections. Its non-blocking network I/O allows it to manage tens of thousands of open connections efficiently, while its asynchronous programming model is built to handle long-lived network connections effectively.

What is the Tornado Framework?

Tornado was initially developed by FriendFeed, a social media aggregator, and was open-sourced by Facebook in 2009 following their acquisition of FriendFeed. The framework is designed for applications that require long-lived network connections, making it a great choice for building WebSockets, chat applications, and real-time analytics systems. Tornado is not just a web server; it includes an application framework, an HTTP client, and other useful modules that enhance its functionality.

Key Features of Tornado

1. Non-blocking Network I/O

Tornado's core strength lies in its non-blocking, asynchronous networking capabilities. This design allows Tornado to manage a large number of simultaneous connections efficiently. Unlike traditional synchronous frameworks, Tornado can perform operations without waiting for each task to complete, optimizing resource use and improving performance.

2. High Performance

Tornado is designed to handle tens of thousands of simultaneous connections, making it highly efficient for I/O-bound operations. Its architecture allows it to serve many requests with minimal resource usage, which is particularly beneficial for applications that experience high traffic.

3. WebSocket Support

Tornado has built-in support for WebSockets, which are essential for real-time web applications. WebSockets provide a persistent connection between the client and the server, allowing bi-directional communication. This is crucial for chat systems, live updates, and real-time notifications.

4. Asynchronous I/O Library

Tornado includes a robust asynchronous I/O library, simplifying the writing of asynchronous code. This library is integral to Tornado's ability to handle multiple connections simultaneously without blocking operations.

5. Scalability

Tornado can scale to handle more requests by adding more processes or machines. This scalability makes it a suitable choice for both small applications that need to grow and large applications that require efficient resource management.

6. Flexibility

Tornado is highly configurable and can be used as a standalone web server or embedded within other Python applications. Its flexibility allows developers to integrate Tornado with other tools and frameworks seamlessly.

7. Security

Tornado provides several out-of-the-box security features, including protection for Cross-Site Request Forgery (XSRF) and secure cookies. These features help developers build secure web applications without extensive additional configuration.

Create a Basic Tornado Project

Creating a basic Tornado project is straightforward and involves a few simple steps. Here's how you can get started:

1. Install Tornado

First, install Tornado using pip:

pip install tornado

2. Create a Simple Web Server

Create a file named and add the following code:

import tornado.ioloop
import tornado.web

class MainHandler(tornado.web.RequestHandler):
    def get(self):
        self.write("Hello, world")

def make_app():
    return tornado.web.Application([
        (r"/", MainHandler),

if __name__ == "__main__":
    app = make_app()

3. Run the Server

Run your Tornado server by executing the following command:


4. Access Your Application

Open a web browser and navigate to http://localhost:8888. You should see "Hello, world" displayed on the page.

Advantages of Using Tornado

1. Scalability

Tornado is designed to handle many connections, making it ideal for high-traffic applications. Its architecture allows it to scale horizontally by adding more instances, which is crucial for applications that need to proliferate.

2. Asynchronous Networking

Tornado's non-blocking I/O and asynchronous programming model allow it to handle concurrent connections efficiently. This design benefits I/O-bound operations, where the application spends significant time waiting for external resources.

3. Real-time Capabilities

Tornado's built-in support for WebSockets and other real-time communication protocols makes it suitable for real-time applications. This capability is essential for applications that require instant data updates, such as live feeds, notifications, and chat systems.

4. Flexibility

Tornado can be used as a standalone web server and as part of a larger Python application. Its flexibility allows developers to use Tornado in various scenarios, from simple web services to complex, multi-tier architectures.

5. Performance

Tornado performs exceptionally well under load, particularly for I/O-bound tasks. Its ability to handle numerous simultaneous connections with minimal resource usage makes it a preferred choice for high-performance applications.

Also read: What are Frameworks in Python? Know Top 5 Python Frameworks.

Use Cases

1. Real-time Web Applications

Tornado is well-suited for applications that require real-time updates, such as chat applications, live feeds, and notifications. Its support for WebSockets ensures that data can be pushed to clients instantly, providing a seamless user experience.

2. WebSocket Services

Tornado's built-in WebSocket support makes it ideal for applications that need bi-directional communication between the server and the client. This is particularly useful for collaborative tools, online games, and real-time data dashboards.

3. Long-lived Connections

Applications that require long-lived connections, such as multiplayer online games or live-streaming services, benefit from Tornado's ability to maintain numerous open connections efficiently. This capability ensures that users remain connected and receive updates without interruption.

4. Microservices

Tornado can be used to build scalable microservices that need to handle high volumes of network traffic. Its lightweight and efficient design make it an excellent choice for creating small, independent services that work together to form a larger application.

5. Proxies and Load Balancers

Due to its high efficiency, Tornado can be used to build proxies and load balancers that distribute network traffic. This use case is essential for applications that manage large amounts of traffic across multiple servers to ensure reliability and performance.


The Tornado framework is a robust and scalable solution for building real-time web applications in Python. Its non-blocking I/O and asynchronous programming model make it capable of efficiently handling thousands of simultaneous connections. With built-in support for WebSockets and other features essential for real-time applications, Tornado is a powerful tool for developers looking to build responsive, scalable web services. Whether you're developing a chat application, a live feed, or a robust API, Tornado provides the flexibility and performance needed to meet the demands of modern web development. By leveraging Tornado's capabilities, developers can create high-performance applications that scale seamlessly and deliver a superior user experience. For those interested in mastering Tornado and other Python frameworks, a comprehensive Python Training course can provide the essential knowledge and hands-on experience needed to develop sophisticated, high-performance web applications.


1. What is the difference between Django and Tornado Framework?

Django is a high-level web framework designed for rapid development. Its built-in features, such as ORM and authentication, are suitable for standard web applications. Tornado is optimized for real-time applications, handling many simultaneous connections with its non-blocking, asynchronous I/O model. While Django is more beginner-friendly, Tornado excels in performance for specific use cases.

2. What types of applications can I build with The Tornado Framework?

Tornado is ideal for building real-time web applications like chat apps, live feeds, and online gaming platforms. It also suits real-time analytics, WebSocket services, and scalable microservices. Its non-blocking, asynchronous design allows efficient management of numerous simultaneous connections.

3. Is The Tornado Framework easy to learn for beginners?

Tornado can be challenging for beginners due to its asynchronous programming model and non-blocking I/O. However, it is manageable with a solid foundation in Python and a good Python Training course. Understanding asynchronous programming is crucial for effectively using Tornado.

4. Can I deploy Tornado applications to production environments?

Yes, Tornado applications can be deployed to production environments. Using a reverse proxy like Nginx or HAProxy can enhance performance and security. Running multiple Tornado processes can leverage multi-core processors for better scalability and handling production workloads.

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