sktime¶
The project originated from a paper “sktime: A Unified Interface for Machine Learning with Time Series” in 2019.
| Logo |   | 
|---|---|
| Website | |
| Repository | |
| Byline | A unified framework for machine learning with time series | 
| License | BSD 3-clause | 
| Project age | 3 years 9 months | 
| Backers | |
| Lastest News (2022-06-13) | v0.12.0 Time series classification: deep learning based algorithms, port of sktime-dl into sktime; forecasting data splitters now … more | 
| Size score (1 to 10, higher is better) | 5.75 | 
| Trend score (1 to 10, higher is better) | 6.25 | 
Education Resources¶
| URL | Resource Type | Description | 
|---|---|---|
| Documentation | Official project documentation. | 
Git Commit Statistics¶
Statistics computed using Git data through August 31, 2022.
| Statistic | Lifetime | Last 12 Months | 
|---|---|---|
| Commits | 46,149 | 9,838 | 
| Lines committed | 24,059,991 | 3,233,889 | 
| Unique committers | 201 | 117 | 
| Core committers | 11 | 11 | 
 
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| 4.25 | 5.75 | Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis. | |
| 3.5 | 6.0 | A Machine Learning Framework for Time Series Intelligence | |
| 6.0 | 4.5 | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. | |
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