xgboost VS PaddlePaddle

Compare xgboost vs PaddlePaddle and see what are their differences.

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)

PaddlePaddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) (by PaddlePaddle)
Our great sponsors
  • Scout APM - Less time debugging, more time building
  • SonarLint - Deliver Cleaner and Safer Code - Right in Your IDE of Choice!
  • OPS - Build and Run Open Source Unikernels
xgboost PaddlePaddle
1 2
22,145 17,514
1.1% 2.9%
9.5 9.9
about 14 hours ago 1 day ago
C++ Python
Apache License 2.0 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.

xgboost

Posts with mentions or reviews of xgboost. We have used some of these posts to build our list of alternatives and similar projects.

PaddlePaddle

Posts with mentions or reviews of PaddlePaddle. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

Keras - Deep Learning for humans

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.

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

mlpack - mlpack: a scalable C++ machine learning library --

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

MLflow - Open source platform for the machine learning lifecycle

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