MC/DC: Monte Carlo Dynamic Code

MC/DC logo

Unit Tests Regression Tests Docker Build, Test, and Publish Documentation Build PyPI DOI License

MC/DC is an open-source, Python-based Monte Carlo radiation transport code that combines rapid methods development with scalable, high-performance execution on modern computing systems. Originally initiated by the Center for Exascale Monte Carlo Neutron Transport (CEMeNT), MC/DC development is now led by the Center for Advancing the Radiation Resilience of Electronics (CARRE).

Features

  • Monte Carlo neutron transport, with photon and charged-particle transport and coupled multi-particle capabilities under development
  • Time-dependent, steady-state, and eigenvalue simulations
  • Multiple physics fidelities (e.g., continuous-energy and multigroup neutron transport, with single-scattering and condensed-history charged-particle transport under development)
  • Distributed-memory parallel execution with MPI
  • Machine-portable Python implementation accelerated by Numba JIT compilation
  • Extensible architecture for prototyping new transport methods

Installation

MC/DC requires Python 3.11 or newer.

Install the latest stable release from PyPI:

pip install mcdc

For development installation and additional options, see the Installation Guide.

Documentation

Complete documentation is available on Read the Docs, including:

Citing

If you use MC/DC in published work, please cite the following article:

Reporting Bugs and Issues

To report bugs, request features, or ask questions, please open a GitHub Issue.

Project links

Data verified by PyPI on Aug 12, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.15.2)

4 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for ilhamv23 from gravatar.com ilhamv23 Avatar for jpmorgan98 from gravatar.com jpmorgan98 Avatar for kyleniemeyer from gravatar.com kyleniemeyer
+1 more Avatar for melekderman from gravatar.com melekderman

Credits

Author: MC/DC Development Team

GitHub Statistics

Data verified by PyPI on Aug 12, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

BSD-3-Clause
View SPDX License List

Requires

Python >=3.11

Provides Extra

dev docs

Tags

monte carlo nuclear engineering particle transport radiation transport

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcdc-0.15.1.tar.gz (8.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcdc-0.15.1-py3-none-any.whl (228.2 kB view details)

Uploaded Python 3

File details

Details for the file mcdc-0.15.1.tar.gz.

File metadata

  • Download URL: mcdc-0.15.1.tar.gz
  • Upload date:
  • Size: 8.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for mcdc-0.15.1.tar.gz
Algorithm Hash digest
SHA256 e95a41529e00d371511962b043fbe4196982522c2f6f696a068323831dd885a5
MD5 6989e556b99cff20995023c28f9a2ec2
BLAKE2b-256 641e4251ea7a3e11d714d7e34476ed244997fb72345e13a5872e28c6c297125e

See more details on using hashes here.

Provenance

The following attestation bundles were made for mcdc-0.15.1.tar.gz:

Publisher: publish-pypi.yml on mcdc-project/mcdc

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mcdc-0.15.1-py3-none-any.whl.

File metadata

  • Download URL: mcdc-0.15.1-py3-none-any.whl
  • Upload date:
  • Size: 228.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for mcdc-0.15.1-py3-none-any.whl
Algorithm Hash digest
SHA256 95020e42c39f52e12ddd197e22b8ffafd3ac978a3783987ddf05c163a0baeb05
MD5 5952159598dd794c2d61b4e6d807c360
BLAKE2b-256 0cab58db08a4ace27108a8db16d840e282401358fbe327ab972f3a9d7fb84f46

See more details on using hashes here.

Provenance

The following attestation bundles were made for mcdc-0.15.1-py3-none-any.whl:

Publisher: publish-pypi.yml on mcdc-project/mcdc

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page