m2cgen converts machine learning models into native code for multiple programming languages without runtime dependencies.
Open source
24 alternativesParaMonte
ParaMonte provides parallel Monte Carlo and machine learning tools across several programming languages.
About ParaMonte
ParaMonte is a parallel Monte Carlo and machine learning library for scientific inference, supporting Python, MATLAB, Fortran, C++, and C. It enables sampling of mathematical density functions of arbitrary dimensions alongside machine learning workflows for research use cases. The library is designed to automate simulation tasks, operate across multiple programming languages, deliver high-performance execution, and parallelize workloads via OpenMP and MPI/Coarray without user-written parallel code. It has zero core external dependencies, supports deterministic reproducibility with user-controlled precision restart, and automatically stores simulation results and reports in external files.
Key features
- Supports Python, MATLAB, Fortran, C++, and C
- Parallelizes simulations via OpenMP and MPI without user parallel coding
- Automates simulation building, running, and post-processing
- Enables deterministic reproducibility with user-specified precision restart
- Automatically stores results in external files for long-term reproducibility
- Has zero core external dependencies for simplified builds and runs
Best for: Researchers and scientists conducting scientific inference via Monte Carlo sampling or machine learning across its supported programming languages benefit most.
Good for
- Cross-language interoperability across five major programming languages
- Parallelization requires no user-written parallel code
- Zero core external dependencies simplify builds and runs
Watch out for
- Intel OneAPI builds are not supported on macOS arm64
- The library is not open source per provided repository metadata
- MPI-parallel simulations require an optional external MPI runtime library
ParaMonte at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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ParaMonte FAQ
Which programming languages are supported by ParaMonte?
ParaMonte currently supports Python, MATLAB, Fortran, C++, and C.
Is parallel coding required to run parallel simulations with ParaMonte?
No, all simulations can be parallelized via OpenMP and MPI/Coarray without user-written parallel code.
Are external dependencies required to use the ParaMonte core library?
The core library has zero external dependencies; only an optional MPI runtime is needed for MPI-parallel simulations.
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