Open Source Standard ML Data Visualization Software

Analyze using summary metrics like BikeStress, TRIMP, or RPE. Extract insight via models like Critical Power and W'bal. Track and predict performance using models like Banister and PMC. Optimize aerodynamics using Virtual Elevation. Train indoors with ANT and BTLE trainers. Upload and Download with many cloud services including Strava, Withings, and Today's Plan. Import and export data to and from a wide range of bike computers and file formats. Track body measures, and equipment use and set your own metadata to track. GoldenCheetah provides tools for users to develop their own metrics, models, and charts. We believe that cyclists and triathletes should be able to download their power data to the computer of their choice, analyze it in whatever way they see fit, and share their methods of analysis with others.

DRINKS Toolkit is a collection of web-based widget, focused in the first release, to realize an online strumentation. It provides a practical and immediate interface to represent your data in the best possible way. Every widget is drawed using HTML5 Canvas API in a Javascript based environment. Drinks was born to allow users to easily realize custom dashboards without any programming knowledge, infact, you can use your instrument on a webpage simply using HTML tags, or using BarMan IDE to create your applications in a click. DRINKS Toolkit (hardware and software) are released as Open Source project.

This project is focused on development of computational tools for the unfolding and visualization of medial temporal lobe structures based on high-resolution magnetic resonance imaging (MRI) images. Click on the Home Page link above for more information

JimboVector 3D is a suite of applications and source code which allow 3D application developers to easily implement complex 3D items into their projects. Such items would include character animations and physics, 3D maps, realtime 3D animated cutscenes,

PsiLAB is an environment for scientific research, numerical calculations and generic data analysis. It's written in the functional language O'CaML.