LearningDocumentationCommunityGlobal MastersCertificationOpen ExchangePartner DirectoryStartup HubIdeas Portal
Applications Contest Explore
Login

Welcome to Open Exchange

At InterSystems, we deeply appreciate the rapid innovation enabled by open-source development. Our team acknowledges the significant impact of the community's dedication, which has been a driving force behind the evolution of software and data technology.

AnalyticsData SetDeveloper EnvironmentFrameworksIntegrationSolutionsTechnology ExampleTemplate

Top contributors

Robert Cemper
A
Andrew Sklyarov
Ashok Kumar T
A
Alex Woodhead
Anton Gnibeda

Featured applications

Analytics
iris-vector-search
iris-vector-search
Quick and easy ways to use iris vector search with Python.
4.0 (2)
DockerAIML
FFan Ji 1.5k
Frameworks
sqlalchemy-iris
sqlalchemy-iris
An InterSystems IRIS dialect for SQLAlchemy
5.0 (5)
DockerPython
Dmitry Maslennikov 1.5k
Developer Environment
OwnObjectScriptExtension
OwnObjectScriptExtension
A Visual Studio code extension that supplies tools for InterSystems ObjectScript.
5.0 (1)
PPhilipp Bonin 963
Developer Environment
InterSystems Package Manager
InterSystems Package Manager
InterSystems Package Manager
4.8 (23)
DockerPython
RRobert Kuszewski 7.8k
3 Application(s)
Filter
Show only
Last release on OEX
Categories
Works with
Industry
Clear filters
Application NameDeveloperMade withRatingLast updatedViewsInstalls

dbt-iris

dbt is the T in ELT, now with IRIS support

Dmitry Maslennikov
Docker
Python
3.5 (1)26 Sep, 2023 385

dbt-duckdb-iris

Include IRIS Tables in Data Build Tool with Python

Ron Sweeney
Python
0.0 (0)22 Aug, 2023 212

InterSystems Ideas Waiting to be Implemented

Built in Test data Generator

Automatically create test cases. A manual or automated test data generator. This tool will integrate seamlessly with InterSystems IRIS to generate a wide range of test data, covering various scenarios and edge cases. It will include customizable parameters, allowing users to specify the type of data, the range of values, and the volume needed. The generated data can be used to populate databases, simulate user inputs, and validate system performance under different conditions. Problem Solved : Manual test data generator is time consuming and error-prone process. Built-in Test data generator will enhance efficiency, improve test coverage, consistent and reproducibility. Benefits : Increase productivity and simplified testing process.

V
by Veerarajan Karunanithi

4

Votes

5

Comments
Vote

iris-fhirsqlbuilder-dbt-integratedml

Demonstration of building predictive models trained on FHIR data

Thomas Dyar
Docker
Python
AI
ML
ML
0.0 (0)29 Mar, 2024 187