boostime VS timetk

Compare boostime vs timetk and see what are their differences.

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boostime timetk
1 2
54 597
- 0.2%
10.0 7.9
over 1 year ago 2 months ago
R R
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

boostime

Posts with mentions or reviews of boostime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-08.

timetk

Posts with mentions or reviews of timetk. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-17.

What are some alternatives?

When comparing boostime and timetk you can also consider the following projects:

modeltime.gluonts - GluonTS Deep Learning with Modeltime

fable - Tidy time series forecasting

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

modeltime.resample - Resampling Tools for Time Series Forecasting with Modeltime

modeltime.ensemble - Time Series Ensemble Forecasting

tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.

modeltime.h2o - Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

healthyR.ts - A time-series companion package to healthyR