Counting 1,361 Big Data & Machine Learning Frameworks, Toolsets, and Examples...
Suggestion? Feedback? Tweet @stkim1

Author
Last Commit
Mar. 22, 2017
Created
Apr. 24, 2015

Thrill

Travis-CI Status: Travis-CI Status
Jenkins Status: Jenkins Status
Appveyor Status: Appveyor Status

Thrill is an EXPERIMENTAL C++ framework for algorithmic distributed Big Data batch computations on a cluster of machines. It is currently being designed and developed as a research project at Karlsruhe Institute of Technology and is in early testing. More information on goals and mission see http://project-thrill.org.

For easy steps on Getting Started refer to the Live Documentation.