Tech riderRev. 23 Sept 2026
- 1Runs onLinux, Mac
- 2CostsNot stated by the maker
1 lines stated Written from the maker's own pages

Overview
MParT is ranked #90 of 91 in physics simulation software on Specifiction. It runs on Linux, macOS.
Compared on physics simulation software
- Free plan
- Yesmeasuretransport.github.io
Facts
- Purpose
- MParT is a multi-language toolkit for constructing and using monotone functions for measure transport and regression.measuretransport.github.io · 5 Oct 2026
- Applications
- Its monotone triangular transport maps can model conditional distributions and accelerate posterior sampling in Bayesian inference.measuretransport.github.io · 5 Oct 2026
- Languages
- MParT is a C++ library with bindings for Python, Julia, and Matlab.measuretransport.github.io · 5 Oct 2026
- Performance
- The toolkit emphasizes fast execution and parsimonious parameterizations for near real-time computation on low and moderate dimensional problems.measuretransport.github.io · 5 Oct 2026
- Integrations
- The project says its implementations can be used in higher level libraries such as TransportMaps and MUQ.measuretransport.github.io · 5 Oct 2026
- Installation
- The C++ library and Python wrapper can be installed with conda-forge, and Julia bindings can be installed with Julia's package manager.measuretransport.github.io · 5 Oct 2026
- Platform support
- The installation guide provides MacOS and Linux environment path instructions and says the basic source build should work on most operating systems.measuretransport.github.io · 5 Oct 2026
- GPU support
- CUDA support requires compiling from source, and the getting started guide says only Python bindings currently support GPU acceleration through CUDA.measuretransport.github.io · 5 Oct 2026
- Dependencies
- The source build requires CMake version 3.13 or later; the documentation lists Kokkos, Eigen, Cereal, Pybind11, and Catch2 among its dependencies.measuretransport.github.io · 5 Oct 2026
- Tutorials
- The examples cover map construction from densities and samples, monotone least squares, Bayesian inference, and stochastic volatility.measuretransport.github.io · 5 Oct 2026
- License
- MParT is released under the BSD 3-Clause License.measuretransport.github.io · 5 Oct 2026
- Support
- Users can ask questions, report bugs, or request features through GitHub issues and discussions, or contact developers by email for questions.measuretransport.github.io · 5 Oct 2026
- Intended users
- The project invites users to contribute to the core library or examples and encourages developers to fork the project and submit pull requests.measuretransport.github.io · 5 Oct 2026
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Where it ranks on Specifiction
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Sources
- measuretransport.github.io/MParT/· checked 5 Oct 2026
- measuretransport.github.io/MParT/source/installation.html· checked 5 Oct 2026
- measuretransport.github.io/MParT/source/getting_started.html· checked 5 Oct 2026
- measuretransport.github.io/MParT/source/tutorials/index.html· checked 5 Oct 2026
- measuretransport.github.io/MParT/source/development/index.html· checked 5 Oct 2026

