xgboost alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view xgboost alternatives based on common mentions on social networks and blogs.

• tensorflow

  10.0 10.0 L1 xgboost VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  tensorflow logo

• scikit-learn

  10.0 9.9 L3 xgboost VS scikit-learn

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

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• Keras

  9.9 9.8 L2 xgboost VS Keras

  Deep Learning for humans
  keras-team logo

• gym

  9.8 0.0 xgboost VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  openai logo

• MindsDB

  9.7 9.9 xgboost VS MindsDB

  Federated Query Engine for AI - The only MCP Server you'll ever need
  mindsdb logo

• MLflow

  9.6 10.0 xgboost VS MLflow

  The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
  mlflow logo

• PaddlePaddle

  9.6 10.0 L1 xgboost VS 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)
  PaddlePaddle logo

• dspy

  9.6 9.8 xgboost VS dspy

  DSPy: The framework for programming—not prompting—language models
  stanfordnlp logo

• Prophet

  9.5 6.2 xgboost VS Prophet

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

• CNTK

  9.5 0.0 L1 xgboost VS CNTK

  Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
  microsoft logo

• gensim

  9.4 7.9 L3 xgboost VS gensim

  Topic Modelling for Humans
  piskvorky logo

• TFLearn

  9.0 0.0 L3 xgboost VS TFLearn

  Deep learning library featuring a higher-level API for TensorFlow.
  tflearn logo

• NuPIC

  8.8 0.0 L3 xgboost VS NuPIC

  DISCONTINUED. Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
  numenta logo

• H2O

  8.7 8.7 xgboost VS H2O

  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
  h2oai logo

• Pyro.ai

  8.6 7.0 xgboost VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  pyro-ppl logo

• Surprise

  8.4 0.0 L4 xgboost VS Surprise

  A Python scikit for building and analyzing recommender systems
  NicolasHug logo

• srez

  8.3 0.0 L5 xgboost VS srez

  DISCONTINUED. Image super-resolution through deep learning

• LightFM

  7.9 0.0 L4 xgboost VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  lyst logo

• Atomic Agents

  7.9 9.5 xgboost VS Atomic Agents

  Building AI agents, atomically
  BrainBlend-AI logo

• Pylearn2

  7.7 0.0 L2 xgboost VS Pylearn2

  Warning: This project does not have any current developer. See bellow.
  lisa-lab logo

• skflow

  7.6 1.3 L4 xgboost VS skflow

  DISCONTINUED. Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
  tensorflow logo

• Sacred

  7.5 3.1 xgboost VS Sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  IDSIA logo

• PyBrain

  7.4 0.0 L4 xgboost VS PyBrain

  Another Python Machine Learning Library.
  pybrain logo

• Clairvoyant

  7.0 2.1 L3 xgboost VS Clairvoyant

  Software designed to identify and monitor social/historical cues for short term stock movement
  anfederico logo

• garak, LLM vulnerability scanner

  6.3 9.8 xgboost VS garak, LLM vulnerability scanner

  DISCONTINUED. the LLM vulnerability scanner [Moved to: https://github.com/NVIDIA/garak]
  leondz logo

• karateclub

  6.2 6.7 xgboost VS karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  benedekrozemberczki logo

• Metrics

  6.1 0.0 xgboost VS Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
  benhamner logo

• python-recsys

  6.0 0.0 L4 xgboost VS python-recsys

  A python library for implementing a recommender system
  ocelma logo

• awesome-embedding-models

  5.9 0.0 xgboost VS awesome-embedding-models

  A curated list of awesome embedding models tutorials, projects and communities.
  Hironsan logo

• pydeep

  5.8 0.0 L3 xgboost VS pydeep

  Deep learning in Python
  andersbll logo

• Crab

  5.5 0.0 L2 xgboost VS Crab

  Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
  muricoca logo

• hebel

  5.0 0.0 L2 xgboost VS hebel

  GPU-Accelerated Deep Learning Library in Python
  hannes-brt logo

• seqeval

  4.8 2.6 xgboost VS seqeval

  A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
  chakki-works logo

• Xorbits

  4.7 2.7 xgboost VS Xorbits

  Scalable Python DS & ML, in an API compatible & lightning fast way.
  xorbitsai logo

• adaptive

  4.6 4.8 xgboost VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  python-adaptive logo

• TrueSkill, the video game rating system

  4.3 1.4 xgboost VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python
  sublee logo

• SciKit-Learn Laboratory

  3.9 4.3 xgboost VS SciKit-Learn Laboratory

  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  EducationalTestingService logo

• pdpipe

  3.9 7.0 xgboost VS pdpipe

  Easy pipelines for pandas DataFrames.
  pdpipe logo

• Robocorp Action Server

  3.9 7.5 xgboost VS Robocorp Action Server

  Create 🐍 Python AI Actions and 🤖 Automations, and deploy & operate them anywhere
  robocorp logo

• rwa

  3.8 0.0 L5 xgboost VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average
  jostmey logo

• nptyping

  3.6 0.0 xgboost VS nptyping

  💡 Type hints for Numpy and Pandas
  ramonhagenaars logo

• Feature Forge

  3.5 0.0 L4 xgboost VS Feature Forge

  A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
  machinalis logo

• Data Flow Facilitator for Machine Learning (dffml)

  3.3 9.3 xgboost VS Data Flow Facilitator for Machine Learning (dffml)

  DISCONTINUED. The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
  intel logo

• brew

  3.2 0.0 L4 xgboost VS brew

  DISCONTINUED. Multiple Classifier Systems and Ensemble Learning Library in Python.

• bodywork

  3.1 0.0 xgboost VS bodywork

  DISCONTINUED. ML pipeline orchestration and model deployments on Kubernetes.
  bodywork-ml logo

• openskill.py

  2.9 7.3 xgboost VS openskill.py

  Multiplayer Rating System. No Friction.
  vivekjoshy logo

• OptaPy

  2.9 5.5 xgboost VS OptaPy

  OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
  optapy logo

• redframes

  2.8 1.4 xgboost VS redframes

  General Purpose Data Manipulation Library
  maxhumber logo

• MLP Classifier

  2.8 0.0 L4 xgboost VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.
  meetvora logo

• vowpal_porpoise

  2.6 0.0 L3 xgboost VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit
  josephreisinger logo

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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Popular Comparisons

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README

*Note that all licence references and agreements mentioned in the xgboost README section above are relevant to that project's source code only.