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Tornado

A Python web framework and asynchronous networking library, originally developed at FriendFeed.

Tornado

Tornado Reviews and Details

This page is designed to help you find out whether Tornado is good and if it is the right choice for you.

Screenshots and images

  • Tornado Landing page
    Landing page //
    2018-09-29

Features & Specs

  1. Asynchronous Networking

    Tornado's core is built on non-blocking network I/O, making it suitable for applications that require a high level of concurrency and can benefit from asynchronous networking.

  2. WebSockets Support

    Native support for WebSockets allows Tornado to handle real-time web applications, such as live chats or streaming services, more efficiently.

  3. Scalability

    Tornado can handle thousands of simultaneous connections, which makes it highly scalable and an excellent choice for applications expecting high traffic volume.

  4. Integrated with asyncio

    Tornado is compatible with Python's asyncio library, providing more flexibility in managing asynchronous operations and integration with other modern async Python libraries.

  5. Template Engine

    Comes with a built-in template engine, making it easy to build dynamic web pages without needing to integrate additional templating tools.

  6. Long-Polling and SSE

    Supports long-polling and Server-Sent Events (SSE), providing more options for real-time data transfer in web applications.

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Summary of the public mentions of Tornado

Tornado, a powerful asynchronous web framework and networking library for Python, has garnered significant attention within developer communities, particularly for building high-concurrency, real-time web applications. Originating from its development at FriendFeed (subsequently acquired by Facebook), Tornado stands out for its robust non-blocking I/O loop and capacity to handle thousands of connections simultaneously. This attribute has positioned Tornado favorably among developers looking to leverage Python for web services and real-time analytics.

Strengths and Use Cases

The primary strength of Tornado lies in its scalability and ability to manage numerous connections efficiently, making it an excellent choice for real-time web applications. Its asynchronous nature is particularly noteworthy, as it allows applications to handle multiple tasks concurrently without waiting for other tasks to complete, a vital feature for applications expecting high user engagement or intensive data stream operations. Beyond its core capabilities, Tornado also supports various third-party plugins and tools, allowing developers to extend its functionalities according to their specific needs.

Community and Adoption

Despite being highly capable, Tornado has not achieved mainstream popularity like some of its counterparts, primarily due to its focus on asynchronous operation which differs from the conventional WSGI standard adopted by many Python web frameworks. However, it has cultivated a dedicated user base within the Python community. This following includes experienced architects who appreciate its unique offering for highly capable system build-outs. The framework's requirement for a significant buy-in, given the asynchronous nature deviating from many Python libraries which remain synchronous, may have limited its wider adoption but also defines its niche market position.

Industry Position and Competitive Landscape

Tornado competes with other well-known web and application servers and frameworks such as Apache Tomcat, LiteSpeed Web Server, Microsoft IIS, and Apache HTTP Server. Within Python-specific frameworks, it is often considered an alternative to Flask for developers prioritizing real-time capabilities and scalability. Although it is not as widely used as some more mainstream offerings, Tornado's performance efficacies, particularly in handling high-concurrency tasks, provide it with a clear competitive edge for specific use cases.

Developers seeking alternatives to more traditional Python frameworks often consider Tornado because of its commitment to asynchronous processing, despite the necessary paradigm shift required regarding library compatibility and framework operation. Consequently, Tornado presents itself as a crucial tool for developers dedicated to optimizing real-time data processing, though it necessitates a strategic commitment to take full advantage of its features. This strategic choice is reflected in its continuous mention in technical discussions around asynchronous capabilities and Python web development strategies.

In summary, Tornado's reputation in the software development community is marked by its robustness in handling asynchronous operations and real-time processing, which makes it a specialized tool for a niche yet critical set of applications in modern web development.

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