Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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![]() iris-GenLabApplication support Machine Learning, LLM, NLP, PALM and OpenAI | Docker Python IPM AI | 5.0 (1) | 21 Sep, 2023 | |||
![]() FHIR - AI and OpenAPI ChainCall any FHIR API with natural language input. OpenAI. LangChain | Docker Python IPM AI | 0.0 (0) | 07 Jul, 2023 | |||
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 | ||||||
iknow-utilsBundles a few reusable IRIS NLP utilities for common scenarios | B | IPM AI | 4.8 (2) | 17 Jan, 2023 | ||
iKnowThe iKnow Natural Language Processing technology was originally developed in Belgium and then acquired by InterSystems in 2010. In February 2020, InterSystems published the technology to open source, expanding the possible use cases for it beyond embedded use from the InterSystems IRIS Data Platform | B | Python AI | 0.0 (0) | 05 Jul, 2021 | ||
![]() website-analyzerInterSystems IRIS NLP Analyzer to websites. Extract all website content with the app crawler and analyze into Text Analytics Domain Explorer and in the BI User Portal. | Docker AI | 5.0 (1) | 24 Dec, 2020 | |||
Twitter Sentiment Analysis with IRISUse IRIS Natural Language Processing and its interoperability capabilities to fetch realtime tweets and analyze their sentiment as well as their metadata. | A | Docker AI | 0.0 (0) | 24 Oct, 2019 |