https://github.com/marcnuth/anomalydetection

Twitter's Anomaly Detection in Pure Python
https://github.com/marcnuth/anomalydetection

anomalydetection cusum python s-h-esd statistics timeseries

Last synced: about 2 months ago
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Twitter's Anomaly Detection in Pure Python

• Host: GitHub
• URL: https://github.com/marcnuth/anomalydetection
• Owner: Marcnuth
• License: apache-2.0
• Created: 2017-02-27T09:45:30.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2023-03-31T14:02:16.000Z (about 2 years ago)
• Last Synced: 2025-04-04T12:58:02.610Z (about 2 months ago)
• Topics: anomalydetection, cusum, python, s-h-esd, statistics, timeseries
• Language: Python
• Size: 396 KB
• Stars: 316
• Watchers: 20
• Forks: 78
• Open Issues: 14
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Anomaly Detection for Python

![PyPI - Downloads](https://img.shields.io/pypi/dm/tad?color=lightgreen&label=PyPI)

## Introduction

Twitter's Anomaly Detection is easy to use, but it's a R library. 

Although there are some repos for python to run twitter's anomaly detection algorithm, but those libraies requires R installed.

This repo aims for rewriting twitter's Anomaly Detection algorithms in Python, and providing same functions for user.

## Install

```

pip3 install tad

```

## Usage

```

import tad

```