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@article{180335,
        author = {Gunesh Shrinivas Kulkarni and Swati Ghule},
        title = {Performance and Usability Trade-offs in Python and JavaScript Web Frameworks: A Data-Driven Theoretical Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1152-1153},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180335},
        abstract = {This study presents a theoretical framework for evaluating Python and JavaScript web frameworks, focusing on performance and usability trade-offs in lightweight and complex application scenarios. By synthesizing data from industry benchmarks, open-source repositories, and developer surveys, we compare Flask (Python) vs. Express.js (JavaScript) for lightweight applications and Django (Python) vs. NestJS (JavaScript) for complex systems. Key metrics include throughput, latency, ecosystem robustness, and developer productivity. The findings provide actionable insights for framework selection, supported by reproducible data from public benchmarks like TechEmpower and GitHub.},
        keywords = {Web frameworks, Python, JavaScript, performance analysis, Django, NestJS},
        month = {June},
        }