Python-Based Frameworks for Real-Time Web Application Development Using Async Paradigms

Sakura Hina Kobayashi

Python-Based Frameworks for Real-Time Web Application Development Using Async Paradigms

Authors

Sakura Hina Kobayashi

Python Integration Developer, Japan.

Keywords:

Python frameworks, real-time web applications, asynchronous programming, FastAPI, Starlette, Sanic, concurrency models, event loop

Synopsis

This paper explores the landscape of Python-based frameworks designed for real-time web application development, with a particular emphasis on asynchronous programming paradigms. The emergence of async support in Python has enabled the development of scalable, non-blocking web applications that meet the latency and concurrency demands of modern real-time services. The paper examines popular frameworks such as FastAPI, Starlette, and Sanic, evaluates their architectural models, and compares their performance in real-time data delivery contexts. Through a structured review of existing frameworks and tools, we highlight the strengths and limitations of async-based web development in Python. Performance benchmarks, architectural comparisons, and use-case considerations provide insights for researchers and developers aiming to select appropriate tools for real-time applications.

References

(1) Groner, Mark, and Tarek Sarraf. Asynchronous Concurrency Models in Python for Web Services: A Performance Review. ACM Computing Surveys, 2022.

(2) Chen, Ling, Ying Huang, and Wen Zhao. Real-Time Performance Benchmarks in Python-Based Web Frameworks. IEEE Transactions on Web Engineering, 2023.

(3) Almeida, João, and Felipe Rivas. Architectural Trade-offs in Synchronous vs. Asynchronous Python Web Frameworks. Journal of Software Systems, 2021.

(4) Sirimalla A. Autonomous Performance Tuning Framework for Databases Using Python and Machine Learning. J Artif Intell Mach Learn & Data Sci 2023 1(4), 3139-3147. DOI: doi.org/10.51219/JAIMLD/adithya-sirimalla/642

(5) Gomez, Clara, and Erik Tran. Evaluating ASGI and WSGI for High-Concurrency Applications in Python. Journal of Internet Services and Applications, 2022.

(6) Patel, Nishant, and Alina Demirova. A Comparative Analysis of FastAPI and Flask for Real-Time Data Systems. Proceedings of the International Conference on Web Engineering, 2023.

(7) Nair, Aditi, and Omar Fadel. Scalability of Async Frameworks in Edge-Based Web Services. Journal of Distributed Computing Systems, 2023.

(8) Li, Xinyu, and Sara Jennings. AsyncIO and Event Loops: Transforming Python’s Web Development Landscape. Software: Practice and Experience, 2022.

(9) Khan, Mubeen, and Rosa Delgado. Performance Evaluation of Sanic and Starlette under High I/O Loads. Computer Communications Review, 2021.

(10) Morozov, Ivan. From Threading to Async: Python’s Evolution for Concurrent Web Development. Communications in Computer and Information Science, 2020.

(11) Bianchi, Matteo, and Fiona Long. Real-Time Web Application Architectures Using Python. International Journal of Web and Grid Services, 2022.

(12) Sirimalla, A. (2022). End-to-end automation for cross-database DevOps deployments: CI/CD pipelines, schema drift detection, and performance regression testing in the cloud. World Journal of Advanced Research and Reviews, 14(3), 871–889. https://doi.org/10.30574/wjarr.2022.14.3.0555

(13) Singh, Parmeet, and Zahra El-Hadid. Integrating WebSockets in Async Frameworks: A Case Study with FastAPI and Sanic. Web Technologies Journal, 2023.

(14) Okoro, James, and Lisa Tan. Web Frameworks and Microservices: Assessing Async Python Tools for Distributed Systems. Journal of Cloud Computing, 2023.

(15) Yamamoto, Hiroshi, and Elena Petrov. Limitations of Asynchronous Programming in Python: Debugging and Maintenance Challenges. International Journal of Software Engineering and Knowledge Engineering, 2021.

Published

January 28, 2025

Series

Research paper

License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.