11 Application(s) results for #Analysis
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PivotToJupyter

View extracted data from IRIS BI cubes in Jupyter Notebook

P
Peter Steiwer
Docker
Python
IPM
5.0 (1)17 Mar, 2026 197 26

WP-ES

Warfarin patient enrollment and stratification

Y
Yangkun Fan
0.0 (0)27 Nov, 2025 41

InterSystems Ideas Waiting to be Implemented

AI extensibility Prompt keyword for Class and Method implementation. Also Prompt macro generator.

To accelerate capability of growing code generation. This proposal suggests new extensibility facilities and hooks that can be democratized to community and / or fulfilled by commercial partners. To add Training metadata to Refine a Large Language Model for code, a "Prompt Input" is associated with an expected "Code Output", as part of a class definition. This provide structured keywords to describe: * The expected output * And / Or Chain-of-thought to generate the correct output | /// The following Prompt describes the full implementation of the class Class alwo.Calculator [Abstract, Prompt = "Provides methods to Add, Subtract, Multiply and divide given numbers." ] { /// The following Prompt describes the full implementation of the method ClassMethod Add(arg1 As %Float, arg2 As %Float) As %Float [ Prompt ="Add numeric arguments and return result." ] { return arg1 + arg2 } ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { &Prompt("Subtract numeric arguments and return result") ) } | The Prompt macro generates code based on the context of the method it is within. Once resolved, it automatically comments out the processed macro. | ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { //&Prompt("Subtract arguments and return the result") return arg1 - arg2 //&Prompt("Model alwogen-objectscript-7.1.3") ) | The generator leveraged at compilation time could be configured in a similar way to how source control is configured for a namespace. Configuration could lock / exclude packages from being processed in this way. A "\prompt" compilation flag could be used to control the default environment behavior and editor compilation behavior. For example to force reprocessing of previously resolved prompts due to a newer more capable version of code Large Language Model, then a "\prompt=2" could be applied. Different models or third-party services could be applied depending the language of the given method. When redacting source code by "deployment", the existing "deploy" facility could be extended to also ensure removal of "Prompt" metadata from code.

A
by Alex Woodhead

3

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iris-cdc-sample

Sample how to do CDC using IRIS, Postgresql, Kafka, Collumnar DB and BAM

Yuri Marx
Docker
5.0 (1)18 Nov, 2025 102

IRIStool and Data Manager

This is a POC to demonstrate how InterSystems IRIS can be integrated with pandas and plotly Python libraries via the Python SDK (IRIS Native).

P
Pietro Di Leo
Docker
Python
AI
0.0 (0)09 Oct, 2025 234

DataAILite

DataAIlite.com – Secure in-memory analytics

I
Irina Yaroshevskaya
AI
0.0 (0)19 Aug, 2025 76

CCD Data Profiler

Profiles and analyzes CCD documents with customizable reports.

L
Landon Minor
IPM
0.0 (0)30 May, 2025 388 7

iris-DataViz

Exploratory Data Analysis with Visualization Application

Muhammad Waseem
Docker
Python
IPM
5.0 (1)28 Sep, 2024 315 4

thalamus-og

Thalamus revolutionizes LLM routing

A
Audrey Chen
Python
AI
ML
ML
0.0 (0)19 Sep, 2024 139

Database Growth - Data Collection and Analysis

The two continued repos are linked at the end of DataCollection.

A
Ariel Glikman
Docker
4.0 (2)04 Aug, 2024 310

DataAI

http://DataAI.link - Where Data Meets Intelligence!

I
Irina Yaroshevskaya
AI
0.0 (0)03 Aug, 2024 122

IntegratedMLandDashboardSample

A simple example of generating machine learning prediction data

Shanshan Yu
IPM
ML
ML
0.0 (0)06 Jul, 2023 404 4