ranger VS Prophet

Compare ranger vs Prophet and see what are their differences.

ranger

A Fast Implementation of Random Forests (by imbs-hl)

Prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. (by facebook)
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ranger Prophet
2 221
757 17,743
0.4% 0.5%
7.6 6.2
4 months ago 27 days ago
C++ Python
- MIT License
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.

ranger

Posts with mentions or reviews of ranger. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.
  • Ranger random forest with beta splits really slow?
    1 project | /r/rstats | 19 Dec 2022
  • What is your favorite R package and why?
    5 projects | /r/AskStatistics | 27 Mar 2021
    caret and tidymodels are one higher level of abstraction from glmnet. caret and tidymodels allow you to write reusable code that can apply to multiple different kinds of models like glmnet-style regularized regression, ranger-style random forests, mars-style regression, etc. This kind of abstraction is helpful when you're comparing different models or combining models and want to minimize new code written per model.

Prophet

Posts with mentions or reviews of Prophet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

What are some alternatives?

When comparing ranger and Prophet you can also consider the following projects:

renv - renv: Project environments for R.

tensorflow - An Open Source Machine Learning Framework for Everyone

dlookr - Tools for Data Diagnosis, Exploration, Transformation

darts - A python library for user-friendly forecasting and anomaly detection on time series.

keyring - :closed_lock_with_key: Access the system credential store from R

scikit-learn - scikit-learn: machine learning in Python

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

greykite - A flexible, intuitive and fast forecasting library

MLflow - Open source platform for the machine learning lifecycle

Keras - Deep Learning for humans

sktime - A unified framework for machine learning with time series

pytorch-forecasting - Time series forecasting with PyTorch