Wendelin combines the performance of scikit-learn machine learning with NEO distributed storage in order to provide out-of-core processing of large data sets with scikit-learn.

Wendelin current main applications are industrial big data and video processing. Any industrial problem of prediction can be handled with Wendelin: mechanical health prediction, intrusion prediction, power prediction, etc. In addition, thanks to other Numpy based libraries such as OpenCV or Pandas, Wedelin can be applied to other fields such as video processing or finance.

More information can be found at http://www.wendelin.io/