Research on the Efficiency of Applying WebGL and D3.js in the Creation of Graphical Elements in Web Applications

With the rising demand for data visualization in web applications, choosing an efficient tool has become critically important for developers. However, as data volumes grow, challenges related to performance and ensuring seamless interactive user experience arise, complicating the choice of the optimal visualization approach. This study compares two popular technologies—D3.js and WebGL—used for rendering graphical elements. The analysis is based on key criteria, including hardware rendering specifics, performance, community support, extensibility, and limitations. Recommendations are provided regarding the appropriate use of visualization technologies depending on task-specific requirements and application conditions, formulated through a multi-criteria analysis.

Authors

Institutions

Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/estream66938.2025.11016891
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Efficiency of Applying WebGL and D3.js in the Creation of Graphical Elements in Web Applications

Nataliia Rusakova, Mariya Shirokopetleva, Nataliia Ponikarovska
Geological Modeling and Analysis
article

Research on the Efficiency of Applying WebGL and D3.js in the Creation of Graphical Elements in Web Applications

Nataliia Rusakova, Mariya Shirokopetleva, Nataliia Ponikarovska
article en

Abstract

With the rising demand for data visualization in web applications, choosing an efficient tool has become critically important for developers. However, as data volumes grow, challenges related to performance and ensuring seamless interactive user experience arise, complicating the choice of the optimal visualization approach. This study compares two popular technologies—D3.js and WebGL—used for rendering graphical elements. The analysis is based on key criteria, including hardware rendering specifics, performance, community support, extensibility, and limitations. Recommendations are provided regarding the appropriate use of visualization technologies depending on task-specific requirements and application conditions, formulated through a multi-criteria analysis.

Kharkiv National University of Radio Electronics (UA), V. N. Karazin Kharkiv National University (UA)
Industry, innovation and infrastructure
Openalex Percentile: Top 87%
Geological Modeling and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Efficiency of Applying WebGL and D3.js in the Creation of Graphical Elements in Web Applications — Nataliia Rusakova, Mariya Shirokopetleva, et al. · (2025) | TGRS Research Map | TGRS