  TemporAI is an open source Python software library for machine learning (ML)
tasks involving data with a time component, focused on medicine and healthcare
use cases. It supports data in time series, static, and eventmodalities and
provides an interface for prediction, causal inference, and time-to-event
analysis, as well as common preprocessing utilities and model interpretability
methods. The library aims to facilitate innovation in the medical ML space by
offering a standardized temporal setting toolkit for model development,
prototyping and benchmarking, bridging the gaps in the ML research, healthcare
professional, medical/pharmacological industry, and data science communities.
TemporAI is available on GitHub (https://github.com/vanderschaarlab/temporai)
and we welcome community engagement through use, feedback, and code
contributions.
