Python Fast API vs Flask :-  A Detailed Comparison

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Routing and request handling

Flask’s performance on the examination is very evident that Flask relies on a conventional routing system, which is effective for smaller applications and can encounter efficiency challenges when confronted with numerous routes and complex routing logic.

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Request/response speed

Flask is admirable in handling standard web requests when it comes to request/response speed. In the area of In/Outbound operations, its performance might exhibit limitations.

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Serialization and validation

Flask performs serialization and validation attached to third-party libraries like Flask-RESTful. As a result, the performance can fluctuate based on the chosen libraries and configurations.

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Concurrency and asynchronous support

When it comes to concurrency and asynchronous support, it’s important to note that Flask can manage concurrency with extensions like Gevent, but still it lacks native support for asynchronous programming.

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WebSockets support

One area where Flask’s performance falls short is native WebSocket support. WebSocket functionality often necessitates third-party libraries, introducing variability in terms of performance.

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Development speed and productivity

Well known for its simple and rapid development capabilities, Flask has excelled in projects requiring quick development cycles.

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Community and ecosystem

Flask boasts a mature ecosystem filled with extensions and plugins, providing a wide array of use cases.