Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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iris-data-analysisImplementing data query and analysis | l | Docker Python IPM AI | 4.0 (1) | 01 Apr, 2025 | ||
![]() iris-easybotA Fast, Simple, Experimental Chatbot Framework Using IRIS Vector Search. | E | Docker Python AI | 5.0 (1) | 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 | ||||||
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 | 4.5 (1) | 27 Mar, 2025 | ||
![]() Jupyter Server Proxy for VS CodeVS Code extension to provide a local Jupyter server acting as a proxy for IRIS servers defined in Server Manager | Docker | 5.0 (1) | 02 Jan, 2025 | |||
![]() d[IA]gnosisWeb application to find out diagnoses and suggest ICD-10 codes | Docker Python AI | 0.0 (0) | 23 Dec, 2024 | |||
![]() iris-HL7v2GenDynamically Generate HL7 Test Messages | Docker Python IPM | 5.0 (1) | 23 Dec, 2024 | |||
![]() tz - ObjectScript Time Zone Conversion LibraryObjectScript Time Zone Conversion Library | E | Docker IPM | 5.0 (1) | 19 Dec, 2024 | ||
GPGGPG Interoperability Adapter for InterSystems IRIS. | E | Python | 0.0 (0) | 10 Dec, 2024 | ||
LLM QuickStartExample codebase to match Dev Community Article | C | Docker Python AI | 0.0 (0) | 10 Dec, 2024 | ||
![]() iris-energy-isodataAccess energy data of Major ISOs in the United States | Docker Python IPM | 5.0 (1) | 04 Dec, 2024 | |||
![]() iris-python-lookup-table-utilsIRIS Python Lookup Table Utils (pylotaut is a simple CRUD API) | J | Docker Python | 5.0 (1) | 01 Dec, 2024 | ||
![]() irisChatGPTApplication uses LangChain framework which is built around LLMs | Docker Python IPM AI | 4.0 (1) | 12 Nov, 2024 | |||
![]() iris-fhir-clientInterSystems FHIR Client Connect to any Open FHIR Server | Docker Python IPM | 5.0 (2) | 06 Nov, 2024 | |||
![]() iris-DataVizExploratory Data Analysis with Visualization Application | Docker Python IPM | 5.0 (1) | 28 Sep, 2024 | |||
IOP REST Client FrameworkFramework for creating REST API clients in python with IOP | A | Docker Python IPM | 4.5 (1) | 25 Sep, 2024 | ||
iris-fastapi-templateIris python first experience with fastapi | G | Docker Python | 3.5 (1) | 25 Jun, 2024 | ||
iris-flask-templateIris python first experience flask template | G | Docker Python | 3.5 (1) | 25 Jun, 2024 | ||
![]() companies-searchFind a company based on Glassdoor with Vector Search and GPT. | L | Docker Python IPM AI | 5.0 (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 | ||
AriticleSimilarityComparing article similarity through vector search | x | Docker IPM | 3.5 (1) | 09 May, 2024 | ||
![]() Demo-Pandas-AnalyticsDemo application to demonstrate how to use the analytics power of IRIS Embedded Python | E | Docker Python IPM | 5.0 (1) | 03 May, 2024 | ||
workshop-vector-faceFace recognition using vectors and vector search. | Docker AI | 4.8 (2) | 27 Mar, 2024 | |||
Vector-inside-IRISrun vector search inside IRIS | Docker Python IPM | 5.0 (1) | 21 Mar, 2024 | |||
formation-fhir-pythonTraining on FHIR and Python based on IRIS for Health. | G | Docker Python | 0.0 (0) | 29 Feb, 2024 | ||
![]() QuinielaMLSoccer match predictions with IntegratedML | Docker ML ML | 5.0 (1) | 09 Feb, 2024 | |||
![]() iris-fhir-labA web app to display FHIR resources details dynamically | Docker Python IPM | 0.0 (0) | 05 Feb, 2024 | |||
workshop-firebaseFirebase adaptor | Docker IPM | 0.0 (0) | 31 Jan, 2024 | |||
iris-rag-demoIRIS with RAG (Retrieval Augmented Generation) example | G | Docker Python AI | 0.0 (0) | 15 Dec, 2023 | ||
![]() AoC2021-rccAn Embedded Python based view of Advent of Code | Docker IPM | 5.0 (1) | 05 Nov, 2023 |