| jrmontag/STLDecompose |
116 |
|
2 |
1 |
about 7 years ago |
4 |
March 03, 2019 |
5 |
mit |
Jupyter Notebook |
| A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data. |
| ServiceNow/stl-decomp-4j |
115 |
|
4 |
0 |
about 2 years ago |
6 |
April 05, 2019 |
2 |
apache-2.0 |
Java |
| Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm. |
| viraltux/Forecast.jl |
43 |
|
0 |
0 |
over 3 years ago |
0 |
|
7 |
mit |
Julia |
| Julia package containing utilities intended for Time Series analysis. |
| nlittlepoole/thermometr |
39 |
|
0 |
0 |
over 10 years ago |
0 |
|
0 |
|
Python |
| Open Source Anomaly Detection in Python |
| viraltux/Smoothers.jl |
14 |
|
0 |
0 |
almost 3 years ago |
0 |
|
3 |
mit |
Julia |
| Collection of basic smoothers and smoothing related applications |
| ericist/rstl |
8 |
|
1 |
0 |
over 7 years ago |
5 |
August 27, 2018 |
0 |
gpl-3.0 |
Python |
| A Python port of R's stl function |
| metrotransit/route-trends |
6 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
mpl-2.0 |
R |
| RShiny app to upload and analyze trend and seasonality of transit ridership data |
