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.
Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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Generative AI Pattern Match WorkBenchMultilingual Generative AI assistant for Pattern Match Operator | A | AI ML ML | 0.0 (0) | 19 Jun, 2025 | ||
![]() ThirdPartyChartPortletsUse third-party charting libraries inside of Dashboards | P | Docker IPM | 4.5 (1) | 18 Jun, 2025 | ||
InterSystems Ideas Waiting to be ImplementedProgrammatic reportsThe report creation is a tedious and non-productive task. You need an IDE, create a connection, create a SQL query, define report bands, drag-and-drop/design report columns, fields, labels, summarizations, margins, charts and prepare perfect pixel reports for print. To create a tradicional report the effort takes 4 to 12 hours. The idea is to define reports using object script instructions. With some minutes and with writing a few object script lines you can get a report equivalent to a tradicional report, with the benefit to create dynamic content for the reports (productivity). The idea includes yet the feature to allows to the developer set print restrictions for the PDF report generated (reduce carbon emission, not allowing print, only read). Benefits of this idea: 1 - Productivity - develop a report in minutes not in hours 2 - Reduce carbon emission - is possible restrict the PDF print 3 - Create dynamic reports using ObjectScript 4 - No need to install a report server, saving processor and memory resources (decreasing emissions) To create a report using source code, see this sample with Java, but could be in ObjectScript too: TextColumnBuilder<String> itemColumn = col.column("Item", "item", type.stringType()); TextColumnBuilder<Date> orderDateColumn = col.column("Order date", "orderdate", type.dateType()); TextColumnBuilder<Integer> quantityColumn = col.column("Quantity", "quantity", type.integerType()).setFixedWidth(50); TextColumnBuilder<BigDecimal> unitPriceColumn = col.column("Unit price", "unitprice", type.bigDecimalType()); ColumnTitleGroupBuilder titleGroup2 = grid.titleGroup("Group 2", quantityColumn, unitPriceColumn); ColumnTitleGroupBuilder titleGroup1 = grid.titleGroup("Group 1", orderDateColumn, titleGroup2).setTitleFixedWidth(450); report() .setTemplate(Templates.reportTemplate) .columnGrid(itemColumn, titleGroup1) .columns(itemColumn, orderDateColumn, quantityColumn, unitPriceColumn) .title(Templates.createTitleComponent("ColumnTitleGroup")) .pageFooter(Templates.footerComponent) .setDataSource(createDataSource()) .setSecurityRule(PrintRule.READ_ONLY) //if you want restrict print .printPDF(); Y 5Votes3Comments | ||||||
PivotToJupyterView extracted data from IRIS BI cubes in Jupyter Notebook | P | Docker Python IPM | 5.0 (1) | 17 Jun, 2025 | ||
iris-opentelemetryConfiguration of OpenTelemetry in IRIS instance | Docker | 5.0 (1) | 17 Jun, 2025 | |||
isc-ipm-jsBuild/deploy JavaScript in the InterSystems Package Manager | IPM | 0.0 (0) | 16 Jun, 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) | 13 Jun, 2025 | ||
ETL Interoperability AdapterExtend EnsLib.SQL.OutboundAdapter to add batch batch and fetch support on JDBC connection for Ensemble and IRIS. | G | Docker IPM | 3.5 (1) | 12 Jun, 2025 | ||
![]() AnalyzeThisEasily transform a CSV file/Table/SQL query into a personalized preview of InterSystems IRIS BI | P | Docker IPM | 5.0 (3) | 10 Jun, 2025 | ||
PivotToPowerBIView extracted data from IRIS BI cubes in Power BI | P | Docker IPM | 0.0 (0) | 09 Jun, 2025 | ||
CustomCubeActionManagerEasily manage InterSystems IRIS BI custom cube actions | P | Docker IPM | 0.0 (0) | 06 Jun, 2025 | ||
Embedded GitEmbedded Git support for InterSystems platforms | P | IPM | 5.0 (2) | 06 Jun, 2025 | ||
DeepSeeWebRenderer for DeepSee Dashboards in Browser with MDX2JSON as a Serverside and JS web-client | Docker IPM | 4.5 (2) | 05 Jun, 2025 | |||
dc-customer-support-agentexample about AI agents powered by LangGraph in InterSystems Ir | Docker Python AI | 5.0 (1) | 02 Jun, 2025 | |||
![]() iris-mll-fordummiesSamples how to use MLL in Intersystems IRIS - for dummies | Docker ML ML | 5.0 (1) | 01 Jun, 2025 | |||
![]() IRIS Interop DevToolsA dashboard for testing CCDA, FHIR, and SDA transforms in IRIS. | Docker IPM | 5.0 (3) | 01 Jun, 2025 | |||
![]() hc-export-editorAn InterSystems IRIS/Health Connect Production Export Editor | E | Docker Python IPM | 5.0 (1) | 31 May, 2025 | ||
![]() FHIRInsightFHIRInsight: Transform complex health data into clear, actionable insights. A tool to convert FHIR blood test data into a comprehensive, easy-to-understand analysis report. | Docker Python IPM AI | 5.0 (1) | 31 May, 2025 | |||
![]() iris-fhir-bridgeIRIS-FHIR Bridget is a robust interoperability engine designed to seamlessly convert healthcare data across multiple standards | Docker Python IPM | 5.0 (1) | 31 May, 2025 | |||
![]() Smart Clinical Copilot - Configuration Management SystemAI-powered Clinical Decision Support System (CDSS) | K | Docker Python AI ML ML | 5.0 (1) | 30 May, 2025 | ||
![]() CCD Data ProfilerProfiles and analyzes CCD documents with customizable reports. | L | IPM | 0.0 (0) | 30 May, 2025 | ||
![]() health-gformsCollect FHIR data using Google Forms data | Docker Python IPM | 5.0 (1) | 29 May, 2025 | |||
![]() IRIS apiPubautomatically publish RESTful API's built with Intersystems IRIS technology, in the simplest and fastest way possible, using the Open API Specification (OAS 3.0) standard | Docker IPM | 4.8 (4) | 28 May, 2025 | |||
IRIS Data Loading ClientFront-end client to the LOAD DATA SQL command | R | Docker IPM | 3.0 (1) | 28 May, 2025 | ||
iris-medbot-guideAutomatically generate patient education content and personalize | s | Docker Python IPM | 4.0 (1) | 25 May, 2025 | ||
ollama-ai-irisAnalyze PDF by extracting text and sending chat to ollama | O | Docker Python AI | 5.0 (1) | 24 May, 2025 | ||
![]() Langchain4jFhirAI-powered Quarkus backend that analyzes base on a FHIR | Docker AI | 4.0 (1) | 24 May, 2025 | |||
![]() fhir-craftBuild your own FHIR resources with synthetic data | L | Docker | 5.0 (1) | 23 May, 2025 | ||
FhirReportGenerationCombining FHIR medical information to obtain AI medical reports | X | Docker Python | 4.5 (1) | 23 May, 2025 | ||
![]() iris-fhir-labA web app to display FHIR resources details dynamically | Docker Python IPM | 0.0 (0) | 19 May, 2025 | |||
![]() lovable-backendMinimalistic spec first API as a backend for Lovable AI UI | Docker IPM | 5.0 (1) | 18 May, 2025 |