Statsmodels: statistical modeling and econometrics in Python

Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

GRASS GIS - free and open-source geospatial processing engine

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

Time series easier, faster, more fun. Pytimetk.

Anomaly detection

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Predict time-series with one line of code.

If you can measure it, consider it predicted

Python implementation of k-Shape

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

trend / momentum and other patterns in financial timeseries

This tool should help discover different patterns based on similarity measures in historical (financial) data

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.

Time-Series Anomaly Detection Comprehensive Benchmark

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.