Create, share and download

applications based on

InterSystems products

Display trace as JSON

Apache Superset support for IRIS

Docker containers main control process for Caché, Ensemble and HealthShare

👮 Captures the output of common ObjectScript terminal verbs, such as zwrite

InterSystems IRIS adapter for RabbitMQ

Tool for moving large globals from a database to another database without application downtime.

InterSystems support for SQL in the SQLTools extension to Visual Studio Code

Visualizer of relations between iKnow entities. Text data visual analysis.

We're publishing it here because developers on the InterSystems platforms are increasingly using VSCode to edit their codebase, including via our 'Serenji' extension. However 'The Folding Stuff' works with any VSCode document that already supports folding and unfolding.

IRIS application for managing Money

ObjectScript starter pack

Iris Rest App for Tasks for Status Report

Example on extending %Monitor.Adaptor to monitor IRIS IntegrateML models performance metrics.

Analytics for the bugs in ^ERRORS

In this exercise, you will modify an existing FHIR® server to monitor incoming FHIR data from an oximeter device, then use a front-end web application to send simulated FHIR Observation resources into InterSystems IRIS for Health™ process that data.

Ineroperability manages a Telegram Admin_bot and Informant_bot in providing content.

A simple and fast way to send data from your application to the IRIS database for further processing and search for insights.

Highly available IRIS deployment on Kubernetes without mirroring

Various utilities from the SQL cookbook

FHIR Questions and Responses

InterSystems IRIS table audit trail and record restore.

A VS Code extension pack to boost your Developer eXperience

An example of CSV data transformation via IRIS Interoperability

A simple example of using the python openxl library to export a

Now have a unified information for managing your business!

Browser-based javascript compare Cache, IRIS features.

How to use Python and IRIS to run Machine learnings algorithms

Extends SDA and propagates to Health Insight & Clinical Viewer.

Project for mirror training purpose.

Embedded python app creates table and loads data from CSV