aeon

Performs time series classification, regression, clustering, forecasting and anomaly detection with Aeon's scikit-learn compatible estimators.

6|Updated Dec 30, 2025
One-click install
npx skills add https://github.com/pur3v4d3r/pur3-pkb-codebase --skill aeon-pur3v4d3r
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aeon
Source: https://github.com/pur3v4d3r/pur3-pkb-codebase/tree/main/.claude/skills/__scientific-skills/aeon
Command: npx skills add https://github.com/pur3v4d3r/pur3-pkb-codebase --skill aeon-pur3v4d3r

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Aeon provides a unified, scikit-learn compatible toolkit for time series analysis, enabling practitioners to build and deploy models for classification, regression, clustering, forecasting, anomaly detection, and more with consistent interfaces.

Core Features & Use Cases

  • Time Series Classification, Regression, Clustering, Forecasting, and Anomaly Detection using aeon estimators
  • Feature extraction and preprocessing via a rich set of transformations and distance metrics
  • Real-world scenario: forecasting energy demand, anomaly detection in sensor streams, or manufacturing quality control

Quick Start

Install Aeon, load a representative time series dataset, and train a ROCKET-based classifier to demonstrate end-to-end workflow.

Frequently Asked Questions about aeon

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform time series classification and forecasting in Python?

Aeon provides a unified, scikit-learn compatible toolkit for time series analysis, enabling practitioners to build and deploy models for classification, regression, clustering, forecasting, anomaly detection, and more with consistent interfaces.

Can I use scikit-learn estimators for anomaly detection on multivariate time series?

Aeon provides a unified, scikit-learn compatible toolkit for time series analysis, enabling practitioners to build and deploy models for classification, regression, clustering, forecasting, anomaly detection, and more with consistent interfaces.

What is the best way to extract features from temporal data for machine learning?

Aeon provides a unified, scikit-learn compatible toolkit for time series analysis, enabling practitioners to build and deploy models for classification, regression, clustering, forecasting, anomaly detection, and more with consistent interfaces.

How do I train a time series model on an IoT sensor dataset?

Aeon provides a unified, scikit-learn compatible toolkit for time series analysis, enabling practitioners to build and deploy models for classification, regression, clustering, forecasting, anomaly detection, and more with consistent interfaces.

Does time series clustering support multivariate data across different industries?

Aeon provides a unified, scikit-learn compatible toolkit for time series analysis, enabling practitioners to build and deploy models for classification, regression, clustering, forecasting, anomaly detection, and more with consistent interfaces.