Statsmodels: statistical modeling and econometrics in Python

Time series easier, faster, more fun. Pytimetk.

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

Anomaly detection

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

Predict time-series with one line of code.

Python implementation of k-Shape

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

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

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

Hybrid Time Series using LSTM and Kalman Filtering

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

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.

Developed ML/DL based a web application for stock price prediction based on real-time data.