Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
---|---|---|---|---|---|---|
CubeEventMonitorTool for monitoring BI cube events and build errors | S | Docker IPM | 4.0 (1) | 15 Jul, 2025 | ||
MDX2JSONRESTful web api for MDX to JSON transformation (plus JSONP and XML/A) for InterSystems Caché. Also provides information about DeepSee objects. | E | IPM | 4.5 (2) | 09 Jul, 2025 | ||
InterSystems Ideas Waiting to be ImplementedAI 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 3Votes1Comments | ||||||
PivotToPowerBIView extracted data from IRIS BI cubes in Power BI | P | Docker IPM | 0.0 (0) | 22 Jun, 2025 | ||
ReadyForActionDemo for "Demos and Drinks" at InterSystems READY 2025 | P | Docker Python | 5.0 (1) | 20 Jun, 2025 | ||
![]() AnalyzeThisEasily transform a CSV file/Table/SQL query into a personalized preview of InterSystems IRIS BI | P | Docker IPM | 5.0 (3) | 20 Jun, 2025 | ||
![]() ThirdPartyChartPortletsUse third-party charting libraries inside of Dashboards | P | Docker IPM | 4.5 (1) | 20 Jun, 2025 | ||
CustomCubeActionManagerEasily manage InterSystems IRIS BI custom cube actions | P | Docker IPM | 0.0 (0) | 06 Jun, 2025 | ||
![]() PivotSubscriptionsSubscribe to Pivot Tables in InterSystems IRIS Business Intelligence to receive scheduled emails | P | Docker IPM | 0.0 (0) | 14 May, 2025 | ||
iris-analytics-templateBasic template for IRIS Analytics solutions | Docker IPM | 5.0 (2) | 13 Aug, 2024 | |||
samples-bi-demoDemo of InterSystems IRIS BI cubes, pivots and dashboards in DSW | Docker IPM | 4.5 (1) | 14 Jun, 2024 | |||
![]() iris-analytics-packageThis project has the intention to show a basic approach using the Analytics capabilities of InterSystems IRIS | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
Samples-BIProvides sample data for use with InterSystems IRIS Business Intelligence, as well as fully developed sample BI models and dashboards. | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
WidgetsDirectorA sample IRIS Backend app to implement a REST API for a helpdesk | C | Docker IPM | 3.8 (3) | 23 Jan, 2024 | ||
![]() Intersystems IRIS platform queue trend monitoring componentIntersystems IRIS platform queue trend monitoring component | Y | IPM | 3.5 (2) | 03 Feb, 2023 | ||
![]() iris-analytics-datastudioGoogle DataStudio connector to InterSystems IRIS Analytics (DeepSee) | 4.0 (1) | 09 Sep, 2021 | ||||
Reducing Readmission Risks with Realtime MLPatient Readmissions are said to be the Hello World of Machine Learning in Healthcare. We use this problem to show how IRIS can be used to safely build and operationalize ML models for real time predictions and how this can be integrated into a random application. | A | Docker ML ML | 3.5 (1) | 29 Jan, 2020 | ||
DeepSeeButtonsTool for analyzing your DeepSee Environment | P | 4.0 (1) | 12 Dec, 2019 | |||
DSW ReportsAddon for DeepSee Web which provides online reports and PDF emailing reports from InterSystems DeepSee dashboards | S | 0.0 (0) | 11 Dec, 2019 |