DeepLynx Nexus is version 2 of the DeepLynx data warehouse, and acts as the central integration point for the DeepLynx data ecosystem. Nexus is a functional data catalog and digital thread tool, allowing users to track metadata from disparate sources and identify ontological and semantic connections between data. It is written in C# and React.

ORCA is a modeling toolset to accelerate real-time control and optimization of digital twins, including virtual models of facilities, physical facilities, and interconnections to allow optimal control of physical facilities using virtual models. ORCA is enabled by INL's RAVEN and DeepLynx software codes.

This is the repository for all code related to the AGN-201 Nuclear Reactor Digital Twin at Idaho State University. The goal of this code repository is to consolidate all pieces required to run the AGN-201 Digital Twin in the [DeepLynx](https://github.com/idaholab/Deep-Lynx) ecosystem.

The DeepLynx DAG repository will contain several Python scripts to manage data transformation and analysis as data into and out of the DeepLynx data warehouse.

Jester is a Rust CLI designed to package and send time series or tabular data to the data warehouse DeepLynx. It primarily reads .csv files and then sends those via HTTP or Websocket requests to an external instance of DeepLynx. It is meant to run on a host computer which has access to the data.

The purpose of this software is to pull data from the Oracle Primavera P6 scheduling tool and bring it into the DeepLynx data warehouse.

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This software is a Rust package that interacts with the Application Programming Interface (API) suite provided by DeepLynx. A Rust codebase may import this package in order to have access to these methods for communicating with a DeepLynx instance.

DeepLynx Lattice is an AI-powered pipeline that extracts entities and relationships from technical documents to build searchable knowledge graphs. Supports multiple file formats, validates against Common Core Ontologies, and reduces processing time while enabling consistent, queryable analysis of defense-related data.

DeepLynx: Visualization is a digital twin development and visualization platform integrated with INL’s DeepLynx data warehouse to connect models, metadata, and data streams. It enables descriptive through autonomous digital twins for design reviews, training, and operational insights for complex energy systems.

Istari integration modules for DeepLynx — pull graph data, render visualizations, push results

DeepLynx Nexus User Guide with screenshots - digital twin data warehouse for engineering programs

'deeplynx-timeseries-loader' is a library designed to make it as easy as possible for users to download and access timeseries or tabular data from DeepLynx.