Springtime

The Springtime Python package helps to streamline workflows for doing machine learning with phenological datasets.

Phenology is the scientific discipline in which we study the lifecycle of plants and animals. A common objective is to develop (Machine Learning) models that can explain or predict the occurrence of phenological events, such as the blooming of plants. Since there is a variety of data sources and existing tools to retrieve and analyse phenology data, it is easy to get lost and disorganized.

With Springtime, we aim to provide a more streamlined workflow for working with a variety of datasets and (ML) models. You can run Springtime as a command line tool in a terminal or use it as a Python library e.g. in a Jupyter notebook.

Example task

Predict the day of first bloom of the common lilac given indirect observations (e.g. satellite data) and/or other indicators (e.g. sunshine and temperature).