I've been running my review collections on OpenExchange now for more than 3 years.
I explained the principle I apply in a past article. 
These reviews are the first step of the quality check in OEX.

My personal Credo
My expectation of OEX  (expressed in extreme) is to see it rather as
a collection of jewels, than just a flea market.

I start this discussion encouraged by @Evgeny Shvarov in his recent comment 

In my recent post Quality of Open Exchange packages, I  tried to raise attention on
Pull Requests and Issues (on GitHub).
I could count the replies on 1 hand. Special Thanks to the French Community!
I see the role of a Pull Request as a proposal to fix a problem in the submitted package.

• If you agree you Merge it 
• If you disagree you Close it

Both actions signal to the creator of the PR that you got the message.
Doing Nothing, leaving it Pending is not just an unfriendly act to the creator but
also to anyone.of the community who wants to consume the repo. He is just left in the lurge.

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.

Why to use it

This app offers an easy interface to analyze storage:

• Filter by database (namespace), global name, used size, or allocated size;
• View a sum of the used and allocated sizes for the filters applied;
• Export the table to JSON, CSV, or XML.

How to use it

Follow the instructions on the README file from the GitHub repository, and configure the settings to connect to your instance.

How to adapt it to your needs

Since it was built with Python and Django, you can easily add specific analysis methods in the api/methods.py and use the views on views.py to display them.

Hi Community
In this article, I will introduce my application IRIS-GenLab.
IRIS-GenLab is a generative AI Application that leverages the functionality of Flask web framework, SQLALchemy ORM, and InterSystems IRIS to demonstrate Machine Learning, LLM, NLP, Generative AI API, Google AI LLM, Flan-T5-XXL model, Flask Login and OpenAI ChatGPT use cases.

Application Features

Enhanced Password Management: Edit Passwords Seamlessly

In the ever-evolving landscape of digital security, robust password management tools have become indispensable. Our password management application, designed to simplify and secure your online life, now comes with an enhanced feature – the ability to edit passwords with ease.

Why is this feature a game-changer?

Hey Developers,

Watch this video to learn how to use Embedded Python using applications from the Open Exchange app gallery:

⏯ Embedded Python Use Cases @ Global Summit 2023

Hi Developers,

We are pleased to invite you all to the new InterSystems online programming contest focused on Python! 

🏆 InterSystems Python Programming Contest 🏆

Duration: September 4 - 24, 2023

Prize pool: $14,000

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.

We continue with the series of articles related to the QuinielaML application. In this article we are going to cover how to prepare the raw data that we have captured using the Embedded Python functionality.

Welcome everybody!

Hi Community,

In my previous article, we learned topics listed below:

1. What is Docker?
2. Some of the Docker benefits
3. How does Docker work?
4. Docker Image
5. Docker Container
6. Docker Image repository
7. InterSystems's Docker image repository
8. Docker Installation
9. Docker Basic Commands
10. Running IRIS community edition by using Docker
11. Docker Desktop GUI

In this article, we will cover the following topics:

1. Use of Docker Compose file (a YAML file)
2. Use of Docker file (employed to build a Docker image)
3. Use of Docker volume

So let's begin.

Introduction

In some of the last few articles I've talked about types between IRIS and Python, and it is clear that it's not that easy to access objects from one side at another. 

Fortunately, work has already been done to create SQLAlchemy-iris (follow the link to see it on Open Exchange), which makes everything much easier for Python to access IRIS' objects, and I'm going to show the starters for that.

Thank you @Dmitry Maslennikov !

Installing

To install, simply open your terminal with administrators' access and type

pip install sqlalchemy-iris

InterSystems has also released IRIS as containerized deployments. This post is to demonstrate how InterSystems IRIS and applications those rely on IRIS a backend can be packaged into an image and be run in other machines in containers and how simple it is to do that.

A container runs image/s which have all the necessary executables, binary code, libraries, and configuration files. And the images can be moved from one machine to another, and  an images repository like Docker Hub can simplify that process.

I have used an application from Open Exchange for this demo.

Welcome dear members of the Community to the presentation and first article of a small project that will demonstrate the capabilities of InterSystems IRIS to provide full backup functionality for a web application developed in Angular. This article will be limited to presenting the concept as well as the InterSystems IRIS functionalities used in a general way, going into more detail in subsequent articles.

Welcome to QuinielaML!

Introduction

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 did a major change and expect a changed review just let me know.

Hi Everyone, 

Join the next online Developer Roundtable on July 27 to discuss how to optimize your dev practices. We'll have 2 short demos from our experts, time for Q&A and open discussion.

Invited experts: 
@Timothy Leavitt , Development Manager, InterSystems
@Alex Woodhead, Senior Systems Developer, InterSystems
@Evgeny Shvarov, Senior Manager of Developer and Startup Programs, InterSystems

UPDATE: see the recording below or watch on YouTube

FHIR has revolutionized the healthcare industry by providing a standardized data model for building healthcare applications and promoting data exchange between different healthcare systems. As the FHIR standard is based on modern API-driven approaches, making it more accessible to mobile and web developers. However, interacting with FHIR APIs can still be challenging especially when it comes to querying data using natural language.

Hey everyone, 

Here we are again. New year, new contest, new project, old reasons.

Triple Slash is in the house!

SQLBuilder is a flexible and powerful SQL query string builder for InterSystems IRIS,

With SQLBuilder you have nice and clean object oriented methods, instead of having to use concatenation and substituition to generate dynamic queries.

A Dynamic SQL without SQLBuilder

A Dynamic SQL with SQLBuilder

If you like it, don't forget to vote in the IRIS Programming Contest

We're excited to announce a new feature on Open Exchange - app dependencies. Now, when you visit an app's page, you can easily see which other Open Exchange apps it depends on and which apps depend on it. This information is conveniently available in respective tabs, providing you with valuable insights.

The best part is, we automatically gather this information from IPM data, eliminating the need for manual data entry when submitting or managing your app. 

Your feedback is highly appreciated! Comment or DM us your thoughts.

Thanks!

Exciting news for developers using GitLab for their InterSystems applications repositories! Open Exchange has expanded its support to include GitLab, allowing you to submit your projects just as easily as you would do with GitHub repos. 

Submitting Your GitLab Repo app on Open Exchange:

ObjectScript is a powerful language used in InterSystems products like InterSystems IRIS, enabling developers to build robust applications. To enhance the ObjectScript development experience, the OwnObjectScriptExtension is a Visual Studio Code extension that provides a range of tools and features. In this article, we will explore how the OwnObjectScriptExtension can improve your ObjectScript development workflow.

Hi Developers, I am glad to announce Git for InterSystems IRIS, my first submission to OpenExchange and part of the current Developer Tools Contest.

Git for InterSystems IRIS is a source control package that aims to facilitate a native integration of the Git workflow with the InterSystems IRIS platform. It is designed to work as a transparent link between InterSystems IRIS and a Git-enabled code directory that, once setup, requires no user interaction. A detailed description can be found on GitHub.

Previous post - Using AI to Simplify Clinical Documents Storage, Retrieval and Search

This post explores the potential of OpenAI's advanced language models to revolutionize healthcare through AI-powered transcription and summarization. We will delve into the process of leveraging OpenAI's cutting-edge APIs to convert audio recordings into written transcripts and employ natural language processing algorithms to extract crucial insights for generating concise summaries.

Idea sourced from InterSystems Ideas Portal

Previous Posts:

Using AI to Simplify Clinical Documents Storage, Retrieval, and Search

Doctor-Patient Conversations: AI-Powered Transcription and Summarization

Introduction

The healthcare industry is continuously evolving, and the need for efficient document management and patient data management is more critical than ever. In this article, we will focus on the specific aspects of integrating Google Docs and Google Sheets with FHIR data in the context of healthcare data interoperability.

Google Docs Integration for Clinical Documents

Problem

In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.

Motivation