A Comparative Analysis of Node.js and Django for Optimizing E-Government Portals: The AYUSH Startup Platform Case Study

Indian e-Government websites are vital for connecting citizens with public services, yet they often face significant challenges related to accessibility, usability, and performance. Common issues include high latency, inefficient backend systems, poor resource management, and limited adherence to accessibility standards like Web Content Accessibility Guidelines. These obstacles hinder the effectiveness of digital platforms in delivering seamless services. This paper presents a comparative analysis of two popular backend technologies, Node.js and Django, aimed at addressing these challenges, using the proposed Startup AYUSH Portal as a case study. Node.js is known for its scalability, non-blocking architecture, and event-driven model, making it ideal for real-time applications and high-performance systems. On the other hand, Django, a Python-based framework, is renowned for its robustness, security features, and rapid development capabilities, which make it suitable for developing complex, data-driven applications. By examining the limitations of existing e-Government systems, this paper proposes a hybrid solution that leverages the strengths of both Node.js and Django to overcome common backend inefficiencies and enhance user experiences. The study also emphasizes the importance of prioritizing accessibility and performance, ensuring that Indian e-Government platforms meet modern digital demands while being inclusive and efficient.

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Published
2025-05-14
DOI
https://doi.org/10.1109/icpcsn65854.2025.11035221
Primary Topic
Research Data Management Practices
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article
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article

A Comparative Analysis of Node.js and Django for Optimizing E-Government Portals: The AYUSH Startup Platform Case Study

Anjali Jain, Nitesh Maheshwari, M Dwivedi, P. C. Reghu Raj et al.
Research Data Management Practices
article

A Comparative Analysis of Node.js and Django for Optimizing E-Government Portals: The AYUSH Startup Platform Case Study

Anjali Jain, Nitesh Maheshwari, M Dwivedi, P. C. Reghu Raj, Mrigya Sahai
article en

Abstract

Indian e-Government websites are vital for connecting citizens with public services, yet they often face significant challenges related to accessibility, usability, and performance. Common issues include high latency, inefficient backend systems, poor resource management, and limited adherence to accessibility standards like Web Content Accessibility Guidelines. These obstacles hinder the effectiveness of digital platforms in delivering seamless services. This paper presents a comparative analysis of two popular backend technologies, Node.js and Django, aimed at addressing these challenges, using the proposed Startup AYUSH Portal as a case study. Node.js is known for its scalability, non-blocking architecture, and event-driven model, making it ideal for real-time applications and high-performance systems. On the other hand, Django, a Python-based framework, is renowned for its robustness, security features, and rapid development capabilities, which make it suitable for developing complex, data-driven applications. By examining the limitations of existing e-Government systems, this paper proposes a hybrid solution that leverages the strengths of both Node.js and Django to overcome common backend inefficiencies and enhance user experiences. The study also emphasizes the importance of prioritizing accessibility and performance, ensuring that Indian e-Government platforms meet modern digital demands while being inclusive and efficient.

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Research Data Management Practices
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