Prophet VS xgboost

Compare Prophet vs xgboost and see what are their differences.

Prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. (by facebook)

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 (by dmlc)
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Prophet xgboost
88 4
14,431 22,631
1.4% 0.9%
6.5 9.6
17 days ago 4 days ago
Python C++
MIT License Apache License 2.0
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.

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 2022-05-06.

xgboost

Posts with mentions or reviews of xgboost. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-28.

What are some alternatives?

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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

greykite - A flexible, intuitive and fast forecasting library

darts - A python library for easy manipulation and forecasting of time series.

Keras - Deep Learning for humans

MLflow - Open source platform for the machine learning lifecycle

sktime - A unified framework for machine learning with time series

pytorch-forecasting - Time series forecasting with PyTorch

catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.