blue-yonder/tsfresh

A unified framework for machine learning with time series

A python library for user-friendly forecasting and anomaly detection on time series.

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Fast and Accurate ML in 3 Lines of Code

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.