Time Series Analysis¶
Description |
These projects provide functionality to process time series data. This includes feature extraction, prediction, trend analysis, and machine learning. |
|---|---|
Projects |
12 |
Lines Committed vs. Age Chart (click to view) |
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Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Online Textbook |
Free online textbook: “Forecasting: Principles and Practice” by Rob J Hyndman and George Athanasopoulos of Monash University |
|
Video |
Modern Time Series Analysis (SciPy 2019 Tutorial by Aileen Nielsen) |
Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
5.25 |
6.25 |
A python library for easy manipulation and forecasting of time series. |
|
3.5 |
8.75 |
Probabistic time series modeling in Python |
|
4.5 |
5.25 |
Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis. |
|
1.75 |
4.75 |
Luminaire is a python package that provides ML driven solutions for monitoring time series data. |
|
2.75 |
5.5 |
A Machine Learning Framework for Time Series Intelligence |
|
3.25 |
5.5 |
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. |
|
6.0 |
4.0 |
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. |
|
8.5 |
8.0 |
An open-source, low-code machine learning library in Python. |
|
3.5 |
6.5 |
Time series forecasting with PyTorch |
|
7.0 |
6.0 |
A unified framework for machine learning with time series |
|
2.25 |
2.75 |
An Automated Time-series Outlier Detection System |
|
2.5 |
3.5 |
TSFRESH automatically extracts 100s of features from time series. |