Task framework designed for time series data
Project description
Introduction
aika-putki is a task framework designed to make it easy to build production and research systems on top of timeseries data. They provide tasks which have a notion of completeness which is founded on an awareness of what data is expected from a successful computation, and thus completeness is defined via the inspection of parent tasks existing output and not via knowledge of when a task was last run. This directly solves many issues around eg mis-computing moving averages due to unavailable data.
For more information see the aika project wepage
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