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- Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
- Multiphysics Object Oriented Simulation Environment
MontePy
PublicMontePy is the most user friendly Python library (API) to read, edit, and write MCNP input files.virtual_test_bed
Publicmalamute
PublicAdvanced manufacturing modeling and simulationair
Publicmagpie
Public- The code adds a spectral solver capability to the MOOSE ecosystem. It operates on regular orthogonal grids, often used for representative volume elements. This new solver can operate on graphics processing units (GPUs) and can couple to existing MOOSE models.
Malcolm-Test
Publicsalamander
PublicSALAMANDER is an application for performing system-level, engineering scale (i.e., at the scale of centimeters and meters), and microstructure-scale (i.e., at the scale of microns) multiphysics calculations related to magnetic confinement fusion energy systems.- Continuous Integration, Verification, Enhancement, and Testing
HydroBoost
PublicHydroBoost is an optimization solver for hydro power and battery storage systems. Its primary objective is to optimize revenue based on hourly dispatch of the hydro and battery assets with forecast energy market prices. It can be applied to both run-of-river and reservoir storage sites.Caldera_ICM
Publicrepository-statistics
PublicResDEEDS
PublicThe Resilience Development for Electric Energy Delivery Systems (ResDEEDS) tool walks users through the process of evaluating electric energy delivery systems (EEDS) for resiliency. It implements the steps of the INL Resilience Framework for EEDS and provides automated tracking of resilience planning and suggestions for mitigating hazards.- DACKAR is a software product designed to analyze equipment reliability data and provide system engineers with insights into anomalous behaviors or degradation trends as well as the possible causes behind, and to predict their direct consequences.
node-red
PublicThis code is a custom control system for INL’s hydrogen production facilities, enabling users to run, monitor, and manage hydrogen generation. Open-source and flexible, it supports remote access, easy modification, and broad use beyond hydrogen systems, with community-driven updates.- MoltenSaltPropnet uses machine learning to predict key properties of molten salt mixtures—such as density, viscosity, thermal conductivity, and heat capacity—critical for advanced nuclear reactors. It transforms experimental data into fast, accurate models, helping researchers design safer, more efficient energy systems.
EMRALD
PublicEvent Modeling Risk Assessment using Linked Diagrams (EMRALD) is a software tool developed at INL for researching the capabilities of dynamic PRA (Probabilistic Risk Assessment). In order to promote the effective use of dynamic PRA by the general community, EMRALD focuses on the following key aspects: Simplifying the modeling process by providin…Malcolm-Test-Artifacts
PublicDeepLynx
Public