ANTIMONY VS NODEBOX SOFTWARE

For the creation of a relatively simple, 2D visualization, using Processing seemed like using a jackhammer to pound in a nail. After playing around with some of the libraries and frameworks for Processing, as well as poring over tutorials, I was impressed and a bit overwhelmed by the software’s capabilities.

ANTIMONY VS NODEBOX SOFTWARE

Also, where Processing requires the user to “run” their visualization in Java, NodeBox provides immediate visual feedback.Īt the end of the day, Processing is in many ways the superior software for visualizing data.

NodeBox does 2D and 3D, but not (to my knowledge) anything interactive. Processing can be used to create static visuals, motion graphics, interactive applets, and can work with audio. Both softwares are open-source, but Processing has been around longer and has a much larger, more active, and more visible community behind it. not recommended for those unable/unwilling to write code), whereas NodeBox utilizes a GUI for node-based work. First off, Processing is text-based (i.e. While there’s a lot of overlap as far as functionality and capability, Processing and NodeBox vary quite a bit. After a bit of searching, I uncovered two options: Processing and NodeBox, either of which would suit my needs. Several years later, I’m still interested in data viz, but I haven’t the slightest desire to draw and align the graphics one-by-one, or to do battle with Illustrator’s clunky and restrictive graph tools.

We created our visualizations the hard way - by preparing data sets by hand and drawing one shape at a time in Illustrator. In fact, the first graphic design class I took in undergrad was focused on information graphics and data viz. 230000005284 excitation Effects 0.Data visualization has always been of interest to me as a designer.239000002105 nanoparticle Substances 0.000 claims description 69.

238000003384 imaging method Methods 0.000 title claims abstract description 196.reassignment CORNELL UNIVERSITY Request to Amend Deed and Register Assignors: QUEST PROJECTS B.V., CORNELL UNIVERSITY, MEMORIAL SLOAN KETTERING CANCER CENTER Status Active legal-status Critical Current Anticipated expiration legal-status Critical Links Application granted granted Critical Publication of AU2014373656B2 publication Critical patent/AU2014373656B2/en Assigned to CORNELL UNIVERSITY, MEMORIAL SLOAN KETTERING CANCER CENTER, QUEST MEDICAL IMAGING B.V. reassignment CORNELL UNIVERSITY Request for Assignment Assignors: CORNELL UNIVERSITY, MEMORIAL SLOAN KETTERING CANCER CENTER, QUEST PHOTONIC DEVICES B.V. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.) Filing date Publication date Priority to US201361922619P priority Critical Priority to US61/922,619 priority Priority to US201461987426P priority Priority to US61/987,426 priority Priority to PCT/US2014/073053 priority patent/WO2015103420A1/en Application filed by Quest Medical Imaging BV, Cornell University, Memorial Sloan Kettering Cancer Center filed Critical Quest Medical Imaging BV Publication of AU2014373656A1 publication Critical patent/AU2014373656A1/en Assigned to CORNELL UNIVERSITY, MEMORIAL SLOAN KETTERING CANCER CENTER, QUEST PROJECTS B.V. Original Assignee Quest Medical Imaging BV Cornell University Memorial Sloan Kettering Cancer Center Priority date (The priority date is an assumption and is not a legal conclusion.

Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.) PATEL Mohan PAULIAH Ulrich Wiesner Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Active Application number AU2014373656A Other versions AU2014373656A1 Google Patents AU2014373656B2 - Systems, methods, and apparatus for multichannel imaging of fluorescent sources in real time AU2014373656B2 - Systems, methods, and apparatus for multichannel imaging of fluorescent sources in real time

Antimony vs nodebox