If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.
Some were accepted and merged, and some were just ignored.
So if you made a major change and expect a changed review just let me know.

This code provide the configured production items with enabled or disabled status.

Include (Ensemble, EnsUI, EnsUtil)

Class Test.ProductionConfig
{

RabbitMQ is a message broker that allows producers (those who send a data message) and consumers (those who receive a data message) to establish asynchronous, real-time, and high-performance massive data flows. RabbitMQ supports AMQP (Advanced Message Queuing Protocol), an open standard application layer protocol.
The main reasons to employ RabbitMQ include the following:

• You can improve the performance of the applications using an asynchronous approach.
• It lets you decouple and reduce dependencies between services, microservices, and applications with the help of a data message mediator, meaning that there is no need for producers and consumers of exchanged data to know each other.
• It allows the long-running processing of sent data (with the results) to be delivered after utilizing a response queue.
• It helps you migrate from monolithic to microservices, where microservices exchange data via Rabbit in a decoupled and asynchronous way.
• It offers reliability and resilience by making it possible for messages to be stored and forwarded. A message can be delivered multiple times until it is processed.
• Message queueing is the key to scaling your application. As the workload increases, you will only have to add more workers to handle the queues faster.
• It works well with data streaming applications.
• It is beneficial for IoT applications.
• It is a must for Bots’ communication.

You might know that you can search posts in DC by Tags
starting in left upper corner and

Hi Community!

I'm super excited to be your on-the-ground reporter for the biggest developer event of the year - InterSystems Ready 2025!

As you may know from previous years, our global summits are always exciting, exhilarating, and packed with valuable knowledge, innovative ideas, and exciting news from InterSystems. This year is no different. But let's not get ahead of ourselves and start from the beginning.

Pre-summit day was, as usual, filled with fun and educational experiences. Those who enjoy playing golf (I among them) got up at the crack of dawn to tee off before the sun got too high up. Here's our dream team in action:

@sween, @Mark Bolinsky, @Anzelem Sanyatwe, @Iryna Mykhailova

Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris

Part 2 – Python and Vector Search

Since we have access to the data from our external table, we can use everything that Iris has to offer with this data. Let's, for example, read the data from our external table and generate a polynomial regression with it.

For more information on using python with Iris, see the documentation available at https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls?KEY=AFL_epython

Let's now consume the data from the external database to calculate a polynomial regression. To do this, we will use a python code to run a SQL that will read our MySQL table and turn it into a pandas dataframe:

CCR users can now take advantage of an enhanced syntax for substituting pre-defined tokens with live URL links within phase-related text fields. In addition to the existing <env> token which automatically updates to reflect the Environment of the relevant CCR Record, CCR now introduces three new keywords: <smp> , <smpPrefix> , and <homepage>.

Hi Community,

As you may know, this year's Spanish Technical Articles contest will be in May. I am going to make a series of articles to support you in the creation of your articles, giving tips and tricks. Perhaps they will be useful for the contest you have active in this community as well.

As you may know, one of the bonuses or extra points you can receive is to add a video tutorial to your article. You may not even know how to approach this issue, no problem! I'm here to give you some tips that you can apply not only to the creation of these videos, but to any other.

Previously, we trained our model using machine learning. However, the sample data we utilized was generated directly from insert statements.

Today, we will learn how to load this data straight from a file.

Hi beloved members of the Community!

It is very common in the daily life of IRIS or Health Connect users that it is necessary to install new instances or update the ones they already have and in many cases it is not these same users who carry out the installation, but rather systems personnel who often do not take into account the particularities of the assignment of permissions necessary for the installation.

Now it is possible ask your IRIS server using an AI Chat or compose other agent applications to get:

Hello, dear members of our developer community!

In today's article, we're going to take a look at one of the latest remote monitoring features that have been added to the product for our IRIS instances. I'm talking about OpenTelemetry support.

Introducing Smart Clinical Sidechick — the intelligent, no-drama partner your EHR wishes it could be. She reads FHIR data in real time, interprets lab results without ghosting, and explains clinical alerts like she actually cares. Built with GPT-4 brains and YAML sass, she’s not here to replace your main EHR—just to make it look bad. Tired of irrelevant alerts and cryptic warnings? Sidechick serves up real, explainable insights, not vague “elevated risk” vibes. And when your backend crashes, she doesn’t panic—she self-heals.