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Monte Carlo simulation

Open-core project, program & portfolio management for waterfall, agile, and hybrid teams — one platform, one data model. Real critical-path scheduling (CPM) with confidence-weighted, probabilistic forecasts (Monte Carlo); agile boards and sprints layered on the same schedule; and a live bridge that re-forecasts the plan the moment a team closes a sprint. Because the plan is computed by one engine, it's answerable: AI clients query the live schedule over MCP and get engine-computed, citable answers — never a model's guess. Self-hosted, Apache 2.0.

Portable Engine for the Production of Parton-level Event Records

OpenLeverage Lab is an open-source financial simulation engine that models margin borrowing, portfolio risk, and repayment dynamics under real-world uncertainty. It combines deterministic financial calculations with probabilistic stress testing, including Monte Carlo simulations and extreme market scenarios, to forecast leverage outcomes before capital is committed. Designed with a fully modular architecture, it enables transparent, reproducible, and extensible risk analysis for leveraged financial decision-making. https://roxanneardary.com/openleverage-lab/

URANOS - the Ultra Rapid Neutron-Only Simulation is a Monte Carlo toolkit specifically tailored for Environmental Sciences

This project should serve as a starting point for students who want to create their first GATE10 simulations using python.

Simulation set-ups and analysis scripts for the BINGO experiment

Common Geant4 simulation project for the Double Beta decay experiments.

This Python package allows to generate initial conditions for Monte-Carlo analyses. Initial states can be generated with multiple methods, including normal noise perturbations, maneuver uncertainty and space object fragmentations (modeled with an algorithm based on the NASA Break-up model).

Framework and simulations of Monte-Carlo for crystals.

AwareLab PACKAge - model-based RL framework