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We introduce HONEY; a new specialized programming language designed tofacilitate the processing of multivariate, asynchronous and non-uniformlysampled symbolic and scalar time sequences. When compiled, a Honey program istransformed into a static process flow diagram, which is then executed by avirtual machine. Honey's most notable features are: (1) Honey introduces a new,efficient and non-prone to error paradigm for defining recursive process flowdiagrams from text input with the mindset of imperative programming. Honey'sspecialized, high level and concise syntax allows fast and easy writing,reading and maintenance of complex processing of large scalar symbolic timesequence datasets. (2) Honey guarantees programs will be executed similarly onstatic or real-time streaming datasets. (3) Honey's IDE includes an interactivevisualization tool which allows for an interactive exploration of theintermediate and final outputs. This combination enables fast incrementalprototyping, debugging, monitoring and maintenance of complex programs. (4) Incase of large datasets (larger than the available memory), Honey programs canbe executed to process input greedily. (5) The graphical structure of acompiled program provides several desirable properties, including distributedand/or paralleled execution, memory optimization, and program structurevisualization. (6) Honey contains a large library of both common and noveloperators developed through various research projects. An open source C++implementation of Honey as well as the Honey IDE and the interactive datavisualizer are publicly available.

Honey: A dataflow programming language for the processing, featurization  and analysis of multivariate, asynchronous and non-uniformly sampled scalar  symbolic time sequences