Pyflux

Pyflux provides a flexible range of modeling and inference options for time series analysis. It allows users to build probabilistic models that treat data and parameters as random variables, offering insights into uncertainty, which is crucial for forecasting tasks. Additionally, for faster performance, users can opt for Maximum Likelihood estimation within a unified API. The library supports Python 2.7 and 3.5, and is open source, encouraging community contributions.