Statsmodels: statistical modeling and econometrics in Python

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

Time series easier, faster, more fun. Pytimetk.

Anomaly detection

Predict time-series with one line of code.

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

Python implementation of k-Shape

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.

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we pres…

A library for Time Series EDA (exploratory data analysis)

Python based Quant Finance Models, Tools and Algorithmic Decision Making

An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS

Hybrid Time Series using LSTM and Kalman Filtering

AIOps for metrics in Prometheus

TSForecasting - Automated Time Series Forecasting Framework

openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or less frequent data.

interpretable gaussian processes for stellar light curves

Detect dominant periodicity in equidistant time series