A Low-Effort Analytics Platform for Visualizing Evolving Flask-Based Python Web Services

Patrick Vogel, Thijs Klooster, Vasilios Andrikopoulos, Micea-Filip Lungu

Research output: Contribution to conferencePaperAcademic

30 Citations (Scopus)
2189 Downloads (Pure)

Abstract

Tens of thousands of web applications are written in Flask, a Python-based web framework. Despite a rich ecosystem of extensions, there is none that supports the developer in gaining insight into the evolving performance of their service. In this paper, we introduce Flask Dashboard, a library that addresses this problem. We present the ease with which the library can be integrated in an already existing web application, discuss some of the visualization perspectives that the library provides and point to some future challenges for similar libraries.
Original languageEnglish
Pages109-113
Number of pages5
DOIs
Publication statusPublished - 2-Nov-2017
Event2017 IEEE Working Conference on Software Visualization - Shanghai, China
Duration: 18-Sept-201719-Sept-2017
http://vissoft17.dcc.uchile.cl/

Conference

Conference2017 IEEE Working Conference on Software Visualization
Abbreviated titleVISSOFT 2017
Country/TerritoryChina
CityShanghai
Period18/09/201719/09/2017
Internet address

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