TimeGPT: A universal time series forecasting library

Scale time series forecasting across any DataFrame format! Most time series libraries lock you into a single DataFrame framework, forcing painful migrations when scaling up. Switching frameworks usually means rewriting data loading, preprocessing, and model interfaces with tons of boilerplate code. TimeGPT eliminates DataFrame boundaries with universal compatibility. The method signatures of forecast are the same across all frameworks. Works seamlessly with: pandas, Polars, Dask, Spark, Ray. #TimeSeries #TimeGPT #DataScience