Time Series Analysis

Description

These projects provide functionality to process time series data. This includes feature extraction, prediction, trend analysis, and machine learning.

Projects

10

Lines Committed vs. Age Chart (click to view)

Lines Committed vs. Age Chart (click to view)

Education Resources

URL

Resource Type

Description

https://otexts.com/fpp3/

Online Textbook

Free online textbook: “Forecasting: Principles and Practice” by Rob J Hyndman and George Athanasopoulos of Monash University

https://www.youtube.com/watch?v=v5ijNXvlC5A

Video

Modern Time Series Analysis (SciPy 2019 Tutorial by Aileen Nielsen)

Projects

Project

Size Score

Trend Score

Byline

Darts

4.5

8.0

A python library for easy manipulation and forecasting of time series.

Kats

4.25

6.75

Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.

Luminaire

1.75

4.25

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Merlion

3.25

5.75

A Machine Learning Framework for Time Series Intelligence

Prophet

5.75

3.0

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

PyCaret

7.25

6.0

An open-source, low-code machine learning library in Python.

PyTorch Forecasting

2.75

6.0

Time series forecasting with PyTorch

sktime

5.5

8.0

A unified framework for machine learning with time series

TODS

2.5

4.0

An Automated Time-series Outlier Detection System

tsfresh

2.75

3.0

TSFRESH automatically extracts 100s of features from time series.