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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.

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Robert Cemper
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Alex Woodhead

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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 955
Developer Environment
InterSystems Package Manager
InterSystems Package Manager
InterSystems Package Manager
4.8 (23)
DockerPython
RRobert Kuszewski 7.7k
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demo-dbs-iris

This project provides a Docker container running an InterSystems IRIS database. The database includes multiple namespaces, each featuring demo datasets designed for exploring various scenarios, including data analysis, application prototyping, and testing.

A
Andreas Schneider
5.0 (1)21 Apr, 2025 150

pax-ai-iris

Hybrid Framework for Anomaly Detection: IRIS, Embd Python, AI

PARANI KAMATCHIYAPPAN
AI
ML
ML
0.0 (0)28 Mar, 2025 85

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

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5

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AoC2024_test

2 test data sets for AOC2024

Robert Cemper
0.0 (0)04 Dec, 2024 62

AoC2023_test

2 test data sets for AoC2023 quality check

Robert Cemper
Docker
0.0 (0)08 Dec, 2023 140