Tesseract – Fast Multidimensional Filtering for Coordinated Views
From the post:
Tesseract is a JavaScript library for filtering large multivariate datasets in the browser. Tesseract supports extremely fast (<30ms) interaction with coordinated views, even with datasets containing a million or more records; we built it to power analytics for Square Register, allowing merchants to slice and dice their payment history fluidly.
Since most interactions only involve a single dimension, and then only small adjustments are made to the filter values, incremental filtering and reducing is significantly faster than starting from scratch. Tesseract uses sorted indexes (and a few bit-twiddling hacks) to make this possible, dramatically increasing the performance of live histograms and top-K lists. For more details on how Tesseract works, see the API reference.
Are you ready to “slice and dice” your data set?