About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.

• Added almost 20 more conversions and 20 new actors
• R-Project integration using Rserve
• WEKA webservice allows for programming language agnostic training, evaluation and use of WEKA models (classifiers, clusterers) and data processing using filters
• Spreadsheets now come with basic formula support
• Spreadsheets can be used for lookup tables in the flow
• Support for "chunked" reading/writing of spreadsheets to process millions of rows

About: peewit provides services for programming, running and result examination of machine learning experiments. It does not include any ML algorithms, has no GUI, and presumes certain uniformity of the experimental layout. But it does not make assumptions on the type of task under study.

switched to python-3

About: KeplerWeka represents the integration of all the functionality of the WEKA Machine Learning Workbench into the open-source scientific workflow Kepler. Among them are classification, [...]

• Now compatible with Kepler 2.0
• New version of WEKA included (patched 3.7.2 release), WEKA's new package manager works in conjunction with Kepler
• Renamed actor Count to ConditionalTee, introduced new Count actor
• Removed actors OutputLogger, MultiSync, TwinSync

About: Pynopticon is a toolbox that allows you to create and train your own object recognition classifiers. It makes rapid prototyping of object recognition work flows a snap. Simply create a dataset of [...]

Initial Announcement on mloss.org.