A Python package and accompanying API that support using phenolopy to calculate phenometric data for single timeseries. Phenolopy requires a data cube and processes the imagery data. This package and API will accept an arbitrary timeseries and return phenolopy's phenometric results as if the timeseries was a single pixel in a data cube - this can be used for timeseries generated from pixel aggregations, etc (e.g. field-level aggregations), and also can then support timeseries generated from multiple sources, including Earth Engine, AppEEARS, OpenET, and more.
More documentation to come - the application works as a proof of concept, but the package isn't a stable API yet.