Web Browser Based Statistical Software – The Next Generation of Statistical Computing
Ratul Chakraborty
Ratul Chakraborty, Department of Statistics, M. B. B. College, Tripura University, Agartala, India.
Manuscript received on February 19, 2015. | Revised Manuscript received on February 28, 2015. | Manuscript published on March 05, 2015. | PP: 81-85 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2541035115/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/

Abstract: There are essentially two ways to deliver an application on PC/Laptop/tablet/smartphone: as a client-side/native application (developed using the appropriate platform-dependent development kit and installed on user devices) or as a web application (developed using web standards and accessed through a web browser-there’s nothing to install on user devices). Traditionally, we are familiar with the native applications. But the recent trend shows that, in near future web applications will become more competitive with native applications due to the ubiquity of web browsers and platform independent programming features. HTML5, Java Scrip and WebGL will bring a new level of computing to the web. At present we have a bunch of native Statistical Computing applications (for PCs and Laptops only) but there is a scarcity of good web application of such type which can run on any computing device (from PC to smartphone) without any hazard.
Keywords: Native applications, Web applications, Graphical User Interfaces, Programming Language, Statistical Software.