Python: Why Quart Might Be the Better Choice over FastAPI

Python's diverse ecosystem of web frameworks offers developers a wide range of choices for building robust and efficient applications. In the realm of asynchronous frameworks, Quart and FastAPI have emerged as popular options. While FastAPI has gained considerable attention for its speed and developer-friendly features, Quart presents a compelling alternative, especially for those already familiar with the Flask framework. This blog post delves into the strengths of both frameworks, highlighting the specific scenarios where Quart might be the more advantageous choice.

Understanding Quart and FastAPI

Before we embark on a detailed comparison, let's briefly introduce the two frameworks:

  • FastAPI: A modern, high-performance framework designed for building APIs with Python 3.7+ that prioritizes speed and efficiency. It leverages Python type hints to improve code readability and maintainability, and it integrates seamlessly with Starlette for asynchronous capabilities and Pydantic for data validation.

  • Quart: An ASGI reimplementation of the Flask microframework API, essentially making it an asynchronous version of Flask. It aims to maintain compatibility with the Flask API, allowing developers to leverage their existing Flask knowledge and smoothly transition to an asynchronous environment. Quart allows you to render and serve HTML templates, write (RESTful) JSON APIs, serve WebSockets, and stream request and response data.

Advantages of Quart

While both Quart and FastAPI offer asynchronous programming capabilities and impressive performance, Quart distinguishes itself with several key advantages:

1. Familiarity for Flask Developers

One of Quart's most significant advantages is its close resemblance to Flask. Developers experienced with Flask can easily transition to Quart with a minimal learning curve. The migration process often involves a simple find and replace of flask with quart and the addition of async and await keywords. This allows teams to capitalize on their existing Flask codebase and expertise while embracing the benefits of asynchronous programming.

2. Seamless Integration with Flask Extensions

Quart benefits from the mature and extensive Flask extension ecosystem. Many popular Flask extensions have been adapted for Quart, providing readily available solutions for various functionalities, including database interaction, authentication, and more. This readily available pool of extensions can significantly reduce development time and effort, allowing developers to concentrate on building the core logic of their applications.

3. Smaller Extension Ecosystem

While having access to a wide range of extensions is generally beneficial, Quart's smaller extension ecosystem, compared to FastAPI, can be an advantage in terms of maintainability and dependency management. A smaller ecosystem often translates to better maintenance of existing extensions and a reduced risk of encountering dependency conflicts.

4. Enhanced Flexibility with Synchronous and Asynchronous Code

Quart provides developers with the flexibility to seamlessly integrate both synchronous and asynchronous libraries and code within the same application. This can be particularly valuable when working with legacy code, libraries that lack asynchronous equivalents, or when certain parts of the application do not require asynchronous operations. For instance, when persisting a business object in a database and generating an ID, you might need to populate other fields like tenant ID or user ID before initializing the data validation process. In such cases, Quart's flexibility allows you to trigger validation errors only after the business object is persisted in the database, ensuring data integrity.

5. Strong Support for WebSockets and Long-Running Requests

Quart has robust built-in support for WebSockets, making it an excellent choice for applications that require real-time features, such as chat applications, online games, and collaborative tools. This native support simplifies the development of real-time interactions without the need for external libraries or complex configurations. Furthermore, Quart excels at handling long-running requests efficiently, a crucial capability for asynchronous frameworks. It can manage numerous concurrent requests, long-running requests, and WebSockets without the overhead of multiple worker processes or threads.

Performance Considerations

While FastAPI often demonstrates a slight performance advantage in benchmarks due to its underlying architecture optimized for speed, Quart remains a highly performant framework. Both frameworks leverage the power of asynchronous programming, enabling them to handle concurrent requests with efficiency. The choice between Quart and FastAPI often hinges on the specific requirements of the application and whether the marginal performance difference is a critical factor for the project.

To illustrate this point, let's examine some benchmark data from TechEmpower Web Framework Benchmarks:

RankFrameworkRequests/Sec
6fastapi52,095
9quart-uvicorn26,446
14quart17,645

These results show FastAPI performing better than Quart in this particular benchmark. However, it's important to remember that benchmark results can vary depending on the testing methodology, hardware, and specific use case.

Another benchmark comparing Flask with various web servers and asynchronous configurations provides further context:

FrameworkWeb ServerTypeTest 1 Throughput
FlaskMeinheldAsync / Greenlet1.43
FlaskGeventAsync / Greenlet1.22
FastAPIUvicornAsync / Coroutine1.21

This benchmark highlights that while FastAPI performs well with Uvicorn, other asynchronous configurations for Flask, such as using Meinheld or Gevent, can achieve comparable or even better throughput.

Ultimately, the performance of both Quart and FastAPI is excellent, and the decision should be based on a holistic evaluation of the project's needs and priorities.

Use Cases Where Quart Shines

Quart's unique advantages make it a particularly strong choice for the following use cases:

  • Migrating existing Flask applications to an asynchronous framework.

  • Building real-time applications with WebSockets.

  • Projects where familiarity with the Flask API is a priority.

  • Applications requiring a mix of synchronous and asynchronous code.

  • Web applications that include static files and HTML routes.

Quart and FastAPI Feature Comparison

FeatureQuartFastAPI
Asynchronous ProgrammingYesYes
Data ValidationVia extensions (e.g., Quart-Schema with Pydantic)Built-in with Pydantic
Automatic API DocumentationVia extensions (e.g., Quart-Schema)Built-in with Swagger UI and ReDoc
WebSocket SupportBuilt-inYes
Dependency InjectionVia extensionsBuilt-in
Familiarity with Flask APIYesNo
Templating EngineJinja2

Conclusion

While FastAPI has undeniably earned its place as a popular and efficient asynchronous framework, Quart offers a compelling alternative, especially for developers seeking a balance of performance, familiarity, and flexibility. Its ease of migration for existing Flask applications, seamless integration with Flask extensions, and strong support for WebSockets make it a powerful contender in the asynchronous Python web framework landscape. For developers with existing Flask applications or those who value a more gradual transition to asynchronous programming, Quart emerges as a robust and efficient framework that deserves serious consideration.

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Written by

Shailendra Singh
Shailendra Singh

I am founder of MechCloud (https://mechcloud.io), a SaaS application which helps users to design websites and build Cloud Computing infrastructure using visualization first approach. MechCloud is accepted into following startup programs - MongoDB for Startup '23 Google for Startup Cloud '23 Microsoft for Startups Founders Hub '23 AWS Activate `23 Cloudflare for Startups '24