INL Software

Deep Lynx API Interaction Python Package

A Python package for interfacing with Deep Lynx's API suite, developed to support software in projects like Unattended Operation through Digital Twin Innovations.

Deep Lynx Machine Learning (ML) Adapter

Runs machine learning models programmatically as continuous data is received, allowing for data pre-processing, prediction analysis, and anomaly forecasting.

Deep Lynx MOOSE Adapter

Facilitates direct communication and data processing between DeepLynx and MOOSE simulations, enabling dynamic customization and integration.

Deep Lynx UNC Adapter for Isolated Networks

Enables communication between DeepLynx and isolated, unidirectional networks, particularly useful for scenarios like HPC environment integration.

DEEP LYNX: Digital Engineering Data Warehouse

An open-source data warehouse supporting digital engineering projects, storing data in a graph-like format for complex dataset analysis and AI/ML integration.

DeepLynx Airflow Provider Package (DLAPP)

DLAPP facilitates seamless interaction with the DeepLynx data warehouse through Apache Airflow, streamlining data workflow management.

DeepLynx API Interaction JavaScript Package

A JavaScript package for accessing DeepLynx's API suite, usable in various applications including through the NPM repository.

DeepLynx DAG Repository (DLDAGS)

DLDAGS simplifies data transformation and analysis workflows for DeepLynx users by providing ready-to-use Airflow DAGs for seamless integration with various data sources.

DIAMOND: Nuclear Data Integration Model

A data model for standardizing and automating data handling in nuclear power plants, enhancing data sharing and cost-saving analysis.

DLDH: Deep Lynx Data Ingestion Adapter

A tool for integrating sensor and operation data into Deep Lynx, facilitating the development of digital twins and supporting multiphysics simulation and AI for anomaly detection and autonomous control.