The following tables are a comparison of machine learning software such as software frameworks, libraries, and computer programs used for machine learning.

Machine learning software

+ Comparison of machine learning software Software Creator Initial release Platform Written in Interface Accord.NET César Souza 2010 Cross-platform C# C# Apache Mahout Apache Software Foundation 2009 Cross-platform Java, Scala Java, Scala, command line Apache SINGA Apache Software Foundation 2015 Linux, macOS, Windows C++, Python C++, Python Apache SystemDS Apache Software Foundation 2015 Linux, macOS, Windows Java, Python, C Java, Python, DML CatBoost Yandex 2017 Linux, macOS, Windows C++, Python C++, Python, R, Java Dlib Davis E. King 2002 Cross-platform C++ C++, Python ELKI ELKI project 2010 Cross-platform Java Java fastText Meta AI 2015 Linux, macOS, Windows C++, Python Command line, Python Flux FluxML contributors 2018 Linux, macOS, Windows Julia Julia Gensim Radim Řehůřek 2009 Linux, macOS, Windows Python, Cython Python H2O H2O.ai 2011 Cross-platform Java, Python, R Web interface, Python, R, Java Infer.NET Microsoft Research 2008 Windows, macOS, Linux C# C# JAX Google 2018 Linux, macOS, Windows Python Python Jubatus Preferred Infrastructure and NTT 2011 Linux C++ C++, Python, Java KNIME KNIME AG 2006 Cross-platform Java GUI, Python, R LIBSVM Chih-Chung Chang and Chih-Jen Lin 2001 Cross-platform C++, Java C++, Java, command line LightGBM Microsoft 2016 Linux, macOS, Windows C++, Python C++, Python, R Massive Online Analysis University of Waikato 2007 Cross-platform Java GUI, Java, command line MATLAB MathWorks 1984 Linux, macOS, Windows C, C++, Java, MATLAB MATLAB Microsoft Cognitive Toolkit Microsoft Research 2016 Linux, Windows C++ C++, Python, C# MindSpore Huawei 2020 Linux, Windows, macOS, Android C++, Rust, Julia, Python, Java Python, C++, Java ML.NET Microsoft 2018 Linux, macOS, Windows C#, C++ C#, F# mlpack mlpack developers 2008 Cross-platform C++ C++, command line MLX Apple 2023 macOS on Apple silicon, Linux C++, Python, CUDA, Metal Swift, C, Python, C++ MXNet Apache Software Foundation 2015 Linux, macOS, Windows, Android, iOS C++, Python C++, Python, Julia, MATLAB, JavaScript, Go, R, Scala, Perl, Clojure Orange University of Ljubljana 1996 Cross-platform Python, C++ GUI, Python PyMC PyMC Development Team 2005 Cross-platform Python Python RapidMiner RapidMiner 2006 Cross-platform Java GUI Scikit-learn scikit-learn developers 2007 Cross-platform Python, Cython Python Scikit-multiflow Jacob Montiel 2018 Linux, macOS, Windows Python, Cython Python Shogun Shogun Toolbox community 1999 Cross-platform C++ C++, Python, Java, R, Ruby, C#, Lua, Octave Spark MLlib Apache Software Foundation 2014 Cross-platform Scala, Java Scala, Java, Python, R TensorFlow Google Brain 2015 Linux, macOS, Windows, Android C++, Python, CUDA Python, C++, Java, JavaScript, R Theano University of Montreal 2007 Linux, macOS, Windows Python, CUDA Python Torch Idiap Research Institute 2002 Cross-platform C, Lua, CUDA Lua, C Vowpal Wabbit Yahoo! Research and Microsoft Research 2007 Linux, macOS, Windows C++ C++, command line, Python Weka University of Waikato 1993 Cross-platform Java GUI, Java, command line XGBoost Tianqi Chen and contributors 2014 Linux, macOS, Windows C++, Python C++, Python, R, Java, Julia

Other comparisons Software Type Primary use GUI Accord.NET Framework Machine learning, computer vision, and statistical analysis Apache Mahout Library Distributed machine learning Apache SINGA Library Distributed machine learning and deep learning Apache SystemDS Platform End-to-end machine learning and data science workflows CatBoost Library Gradient boosting and decision tree learning Dlib Library Machine learning and computer vision ELKI Framework Data mining, clustering, outlier detection fastText Library Text classification, word embeddings, and natural language processing Flux Library Machine learning and deep learning Gensim Library Topic modeling, document retrieval, and similarity analysis H2O Platform Machine learning and AutoML Infer.NET Library Bayesian inference and probabilistic programming JAX Library Numerical computing, machine learning, and automatic differentiation Jubatus Framework Distributed online machine learning KNIME Platform Visual data analytics and machine learning workflows LIBSVM Library Support vector machine classification and regression LightGBM Library Gradient boosting and decision tree learning MOA Framework Online machine learning and data stream mining MATLAB Computing platform Numerical computing, statistics, and machine learning CNTK Framework Deep learning and machine learning MindSpore Framework machine learning and deep learning ML.NET Framework Machine learning for .NET mlpack Library General-purpose machine learning MLX Framework Machine learning and deep learning on Apple silicon MXNet Framework Deep learning and scalable machine learning Orange Platform Visual programming, data mining, and machine learning PyMC Framework Bayesian modeling and probabilistic programming RapidMiner Platform Data science and machine learning workflows Scikit-learn Library General-purpose machine learning Scikit-multiflow Library Online machine learning and data stream mining Shogun Library General-purpose machine learning Spark MLlib Library Distributed machine learning on Apache Spark TensorFlow Framework Deep learning and machine learning Theano Library Machine learning and deep learning Torch Framework Machine learning and deep learning Vowpal Wabbit Library Online machine learning and reinforcement learning Weka Suite Machine learning and data mining XGBoost Library Gradient boosting

Machine learning helper libraries and platforms Apache OpenNLP — natural language processing toolkit CUDA — GPU computing platform used to accelerate machine learning and deep learning workloads Horovod — distributed training framework for deep learning Hugging Face Transformers — library of pretrained transformer models built on other machine learning frameworks Kubeflow — machine learning platform for Kubernetes Mallet — toolkit for natural language processing and text analysis NumPy — numerical computing library used in machine learning OpenCV — computer vision library with machine learning functions ONNX — open format for representing machine learning models pandas — data analysis and data preparation library used in machine learning PlaidML — tensor compiler and backend for machine learning frameworks Polars — Dataframe library used for machine learning data preparation and analysis PyArrow — columnar data library used in machine learning data processing ROOT (TMVA) — data analysis framework with machine learning tools SciPy — scientific computing and optimization library used in machine learning

Online development environments for machine learning Google Colab — hosted Jupyter Notebook environment commonly used for machine learning and deep learning JupyterLab — notebook-based development environment for machine learning and data science Jupyter Notebook — interactive notebook environment used for machine learning and data science Kaggle — online data science and machine learning platform

See also

Comparison of deep learning software Comparison of statistical packages Data mining Deep learning List of datasets for machine-learning research List of machine learning algorithms List of Python machine learning and deep learning software Lists of open-source artificial intelligence software Outline of machine learning

External links Yellowbrick — machine learning visualization library for model selection and diagnostics ELI5 — library for explaining and debugging machine learning models InterpretML — interpretable machine learning toolkit SHAP — library for explaining machine learning model predictions

References