timeseries-analysis

Statsmodels: statistical modeling and econometrics in Python

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

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

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

GRASS - free and open-source geospatial processing engine

Time series easier, faster, more fun. Pytimetk.

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

Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications

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

[VLDB' 25] ChatTS: Understanding, Chat, Reasoning about Time Series with TS-MLLM

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

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.

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