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Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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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) | 08 Sep, 2025 | ||
![]() DataAILiteDataAIlite.com – Secure in-memory analytics | I | AI | 0.0 (0) | 19 Aug, 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 | ||||||
DeepSeeWebRenderer for DeepSee Dashboards in Browser with MDX2JSON as a Serverside and JS web-client | Docker IPM | 4.5 (2) | 08 Aug, 2025 | |||
![]() toolqaThis API testing tool helps development and QA teams ensure that APIs are functioning as expected, meet business requirements, and are robust against incorrect input or edge cases. | Docker | 4.3 (2) | 28 Jul, 2025 | |||
dataset-sample-splitA method to get random samples to estimate ML models | L | ML ML | 0.0 (0) | 27 Jul, 2025 | ||
CubeEventMonitorTool for monitoring BI cube events and build errors | S | Docker IPM | 4.0 (1) | 15 Jul, 2025 | ||
PivotToPowerBIView extracted data from IRIS BI cubes in Power BI | P | Docker IPM | 0.0 (0) | 22 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 | ||
PivotToJupyterView extracted data from IRIS BI cubes in Jupyter Notebook | P | Docker Python IPM | 5.0 (1) | 17 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-vector-searchQuick and easy ways to use iris vector search with Python. | F | Docker AI ML ML | 4.3 (3) | 21 Apr, 2025 | ||
pyiris-icebergDemonstrates copying IRIS tables into Apache Iceberg tables | P | Docker Python | 0.0 (0) | 20 Dec, 2024 | ||
![]() iris-DataVizExploratory Data Analysis with Visualization Application | Docker Python IPM | 5.0 (1) | 28 Sep, 2024 | |||
IRIS-Log-MonitorMonitor and display some information,Can be viewed more convenie | s | Docker IPM | 3.0 (1) | 22 Sep, 2024 | ||
![]() BridgeWorks WebReportsWeb based reporting and dashboard platform | 0.0 (0) | 26 Aug, 2024 | ||||
![]() BridgeWorks VDMBridgeWorks VDM is an ad hoc reporting and graphical SQL query application. | 0.0 (0) | 26 Aug, 2024 | ||||
![]() Database Growth - Data Collection and AnalysisThe two continued repos are linked at the end of DataCollection. | A | Docker | 4.0 (2) | 04 Aug, 2024 | ||
DataAIhttp://DataAI.link - Where Data Meets Intelligence! | I | AI | 0.0 (0) | 03 Aug, 2024 | ||
![]() iris-errors-analysis-graphAnalyze errors on the IRIS portal generate statistical graphs. | L | Docker Python IPM AI | 1.8 (2) | 28 Jul, 2024 | ||
AdvancedIRISBISamplesAdvanced samples for InterSystems IRIS BI | P | 0.0 (0) | 10 Jun, 2024 | |||
Perftools IO Test SuiteTools to exercise and measure the IO capacity of hardware | P | 4.0 (1) | 17 May, 2024 | |||
![]() DNA-similarity-and-classifyClassify gene family find similar DNAs with Vector Search and ML | D | Docker Python AI ML ML | 5.0 (1) | 12 May, 2024 | ||
iris-fhirsqlbuilder-dbt-integratedmlDemonstration of building predictive models trained on FHIR data | Docker Python AI ML ML | 0.0 (0) | 29 Mar, 2024 | |||
iris-analytics-notebookA notebook approach to use IRIS analytics capabilities. | Docker IPM | 4.0 (1) | 25 Mar, 2024 | |||
iFindPortalA Search Portal demo app for iFind, part of InterSystems' iKnow technology | B | IPM | 3.5 (2) | 25 Mar, 2024 | ||
![]() covid-19 analyticsanalytics for covid-19 | Docker IPM | 5.0 (2) | 25 Mar, 2024 | |||
dsw-mapIt is map examples of different regions to render in DeepSeeWeb | S | Docker IPM | 3.0 (1) | 25 Mar, 2024 | ||
![]() trino-irisTrino InterSystems IRIS Connector | Docker Python | 0.0 (0) | 01 Feb, 2024 | |||
![]() OUReportsOnline User Reports - automatically analyzes data - generates automated reports - provides interface for ad hoc reports - conducts statistical research. Connect to your database and see reports made for you by Online User Reports at OUReports.com | I | 5.0 (1) | 11 Dec, 2023 |