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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![]() iris-easybotA Fast, Simple, Experimental Chatbot Framework Using IRIS Vector Search. | E | Docker Python AI | 0.0 (0) | 31 Mar, 2025 | ||
iris-speed-testShow how fast InterSystems IRIS is compared to other competitors | F | 0.0 (0) | 31 Mar, 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 | ||||||
![]() bg-iris-agentAI IRIS Agent | IPM AI | 5.0 (1) | 31 Mar, 2025 | |||
![]() iris-AgenticAINext generation of autonomous AI Agentic Application | AI | 0.0 (0) | 31 Mar, 2025 | |||
![]() langchain-iris-toolInterSystems IRIS LangChain Tool and AI Agent to ask IRIS | Docker Python AI | 5.0 (1) | 31 Mar, 2025 | |||
![]() Facilis[ˈfäkɪlʲɪs̠] Facilis – Effortless API Interoperability with AI | Docker Python AI | 5.0 (1) | 30 Mar, 2025 | |||
![]() oncoragIRIS-integrated RAG pipeline for oncology data curation | P | Docker Python AI | 0.0 (0) | 30 Mar, 2025 | ||
iris-clinical-assistantNatural language querying of patient clinical data. | D | Python AI | 0.0 (0) | 30 Mar, 2025 | ||
![]() tootIRIS Vector powered Whistle-and-Sing to Search for Music | A | Docker AI ML ML | 0.0 (0) | 30 Mar, 2025 | ||
![]() Vitals LabEnhancing Caregiver Support through accessible AI tools. | G | Python AI ML ML | 0.0 (0) | 30 Mar, 2025 | ||
iris-data-analysisImplementing data query and analysis | l | Docker Python IPM AI | 3.0 (1) | 29 Mar, 2025 | ||
pax-ai-irisHybrid Framework for Anomaly Detection: IRIS, Embd Python, AI | AI ML ML | 0.0 (0) | 28 Mar, 2025 | |||
AiAssistantUsing vector search to assist large language models in generatin | X | Docker IPM AI | 3.5 (1) | 27 Mar, 2025 | ||
![]() IRIS-Intelligent-Butler# IRIS-Intelligent Butler IRIS Intelligent Butler is an AI intel | Docker Python IPM AI ML ML | 4.0 (1) | 27 Mar, 2025 | |||
![]() AnalyzeThisEasily transform a CSV file/Table/SQL query into a personalized preview of InterSystems IRIS BI | P | Docker IPM | 5.0 (3) | 26 Mar, 2025 | ||
React Native Frontend for FHIR by LovableA React-Native frontend UI for FHIR server generated by Lovable | AI | 0.0 (0) | 26 Mar, 2025 | |||
![]() mcp-server-irisInterSystems IRIS MCP server | Python AI | 0.0 (0) | 26 Mar, 2025 | |||
![]() IRIS internal WebSocket ClientUsing %Net.WebSocket feature available in IRIS | Docker IPM | 4.0 (1) | 21 Mar, 2025 | |||
isc-codetidyServer-side code standards enforcement for ObjectScript | IPM | 4.0 (1) | 20 Mar, 2025 | |||
ks-iris-libIRIS / IRIS Health utilities library | Docker IPM | 5.0 (1) | 15 Mar, 2025 | |||
TaskListEasy and convienient Project Manager for small groups we use. | I | AI | 0.0 (0) | 14 Mar, 2025 | ||
![]() ollama-ai-irisUsing Ollama LLM (as an alternative to OpenAI) with IRIS | R | Python AI | 0.0 (0) | 12 Mar, 2025 | ||
![]() iris-fhir-templateFHIR Server template for InterSystems IRIS for Health | Docker IPM | 5.0 (2) | 12 Mar, 2025 | |||
pxw-debugLog debug output | P | Docker IPM | 5.0 (1) | 08 Mar, 2025 | ||
objectscript-errorsExample class which reproduces typical ObjectScript errors | Docker IPM | 5.0 (1) | 05 Mar, 2025 | |||
iris-watched-statusStatus that automatically detects and handles errors. | D | IPM | 0.0 (0) | 05 Mar, 2025 | ||
X-rAI-iris-healthInterSystems IRIS for Health Data Analytics with Explainable AI | R | Python AI ML ML | 0.0 (0) | 05 Mar, 2025 | ||
intersystems-objectscript-class-diagram-viewPowerful class diagram view for objectscript | 0.0 (0) | 02 Mar, 2025 | ||||
bas_labsConnecting companies with climate actions. | A | Python AI ML ML | 0.0 (0) | 01 Mar, 2025 | ||
![]() sqlalchemy-irisAn InterSystems IRIS dialect for SQLAlchemy | Docker Python | 5.0 (5) | 01 Mar, 2025 |