Global

Timestral is a family of time series foundation models for multivariate probabilistic forecasting, with support for past-only and known-future covariates. This repository provides standalone inference for Timestral models.

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

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

A GPU-native library of foundation models, tensor subclasses, and data processors for structured data.

sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes forecasting, time series classification, clustering, anomaly/changepoint detection, and other tasks.