2012/12/18 by Dan Bürger, Dan Burger, Keivan G. Stassun +12
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis with R #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Software Engineering (cs.SE) #astro-ph.IM #cs.SE
paper · pdf · doi:10.48550/arxiv.1212.4458
4 pages, 1 figure. Originally presented at the ADASS XXII Conference in Champaign, IL on November 6, 2012. Published in the conference proceedings by ASP Conference Series (revised to include URL of web application)
openalex publication_date 2012/12/18 · arxiv created 2012/12/20 · arxiv updated 2012/12/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Filtergraph is a web application being developed by the Vanderbilt Initiative in Data-intensive Astrophysics (VIDA) to flexibly handle a large variety of astronomy datasets. While current datasets at Vanderbilt are being used to search for eclipsing binaries and extrasolar planets, this system can be easily reconfigured for a wide variety of data sources. The user loads a flat-file dataset into Filtergraph which instantly generates an interactive data portal that can be easily shared with others. From this portal, the user can immediately generate scatter plots, histograms, and tables based on the dataset. Key features of the portal include the ability to filter the data in real time through user-specified criteria, the ability to select data by dragging on the screen, and the ability to perform arithmetic operations on the data in real time. The application is being optimized for speed in the context of very large datasets: for instance, plot generated from a stellar database of 3.1 million entries render in less than 2 seconds on a standard web server platform. This web application has been created using the Web2py web framework based on the Python programming language. Filtergraph is freely available at http://filtergraph.vanderbilt.edu/.