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Downloading and Installing mlpack

Prebuilt mlpack packages are available for most operating systems; these packages may not be the latest version, so if you are encountering issues, use the official source release.

Source download and build reference

• Latest stable source release: mlpack-4.8.0.tar.gz; released June 9, 2026
• README build directions
• C++ quickstart installation guide
• Windows build guide

C++ system-wide package installation

• Debian/Ubuntu:
  sudo apt-get install libmlpack-dev
• Red Hat/Fedora:
  sudo dnf install mlpack-devel
• Arch Linux:
  sudo pacman -S mlpack
• macOS (Homebrew):
  brew install mlpack
• macOS (MacPorts):
  sudo port install mlpack
• Windows (vcpkg):
  vcpkg install mlpack
• Windows MSI installer:
  mlpack-4.8.0.msi

Language-specific installation

• Python (pip):
  pip install mlpack
• Python (conda):
  conda install -c conda-forge mlpack
• Julia:
  import Pkg; Pkg.add("mlpack");
• R:
  install.packages("mlpack")
• Go:
  go get -u -d mlpack.org/v1/mlpack

Ready-to-use cloud images

• Jupyter Hub:
  ready-to-use notebook environment (try it out!)
• DockerHub:
  ready-to-use mlpack Docker image

Command-line program installation

• Debian/Ubuntu:
  sudo apt-get install mlpack-bin
• Red Hat/Fedora:
  sudo dnf install mlpack-bin
• Arch Linux:
  sudo pacman -S mlpack
• macOS (Homebrew):
  brew install mlpack
• macOS (MacPorts):
  sudo port install mlpack
• Windows (vcpkg):
  vcpkg install mlpack
• Windows MSI installer:
  mlpack-4.8.0.msi

Quickstart: Using mlpack

Once mlpack is installed, you can go through the quickstart tutorials:

• C++ quickstart
• Python quickstart
• Julia quickstart
• R quickstart
• Go quickstart
• Command-line programs quickstart

You can also look at the examples repository for fully working mlpack data science pipelines and applications.

Further documentation

Once mlpack is installed and working, the reference documentation links below can be helpful for building mlpack applications:

• Documentation homepage
• Python binding documentation
• Julia binding documentation
• R binding documentation
• Go binding documentation
• Command-line program documentation

© 2007 - 2025 mlpack developers (BSD License).

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