PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
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Updated
Nov 15, 2025 - Python
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Decompose a signal/timeseries into structure and noise or seasonal and residual components
Teleconnection-driven vision transformers for improved long-term forecasting
Enables advent calendars on your WordPress blog.
Python interface for CPT
Code to accompany WATS Plot article
Using SARIMAX for Time Series Forecasting on Seasonal Data that is influenced by Exogenous variables
🪶️🍂️📖️ The official documentation source repository for LibreFlock Seasonal.
This project seeks to simulate the atmospheric and surfacic temperature maps that would occur on exoplanets. We plan on taking into account the type of star and the orbit's profile as well as seasonal shift from axial tilt and what would happen on tidally locked planets.
A feature-rich browser-based gardening simulation game
An R package for modelling periodically correlated and periodically integrated time series
Time series modelling with extended regression SARIMA models
Time series decomposition plot trend and seasonality
A time series forecast using winter model for a seasonal data.
Automatic Anomaly Detection system with minimal setup
Home Assistant Component to support seasonal schedules, like holiday lighting
Seasonal ESD is an anomaly detection algorithm implemented at Twitter: https://arxiv.org/pdf/1704.07706.pdf
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