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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PivotToJupyterView extracted data from IRIS BI cubes in Jupyter Notebook | P | Docker Python IPM | 5.0 (1) | 14 May, 2025 | ||
![]() PivotSubscriptionsSubscribe to Pivot Tables in InterSystems IRIS Business Intelligence to receive scheduled emails | P | Docker IPM | 0.0 (0) | 14 May, 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 | ||||||
![]() AnalyzeThisEasily transform a CSV file/Table/SQL query into a personalized preview of InterSystems IRIS BI | P | Docker IPM | 5.0 (3) | 09 May, 2025 | ||
iris-vector-searchQuick and easy ways to use iris vector search with Python. | F | Docker AI ML ML | 4.0 (2) | 21 Apr, 2025 | ||
DeepSeeWebRenderer for DeepSee Dashboards in Browser with MDX2JSON as a Serverside and JS web-client | Docker IPM | 4.5 (2) | 01 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 | ||
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) | 12 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 | |||
CubeEventMonitorTool for monitoring BI cube events and build errors | S | Docker IPM | 4.0 (1) | 29 Jan, 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 | |||
iris-dmnIRIS + DMN, make business logic visually | Docker IPM | 5.0 (1) | 25 Nov, 2023 | |||
![]() iris-size-djangoA portal for visualizing and keeping track of memory usage of an | H | Python | 4.8 (2) | 06 Oct, 2023 | ||
iris-fhir-generative-aiAn experiment to use generative AI and FHIR | Docker Python IPM AI | 0.0 (0) | 16 Jul, 2023 | |||
![]() IntegratedMLandDashboardSampleA simple example of generating machine learning prediction data | IPM ML ML | 0.0 (0) | 06 Jul, 2023 | |||
![]() generate-datesGenerate a CSV file containing dates with additional information | Python | 3.5 (1) | 04 May, 2023 |