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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 ImplementedParser for arbitrary binary protocolsRapid growth of IoT industry in recent years produced a plethora of new protocols with varying levels of standardization and adoption. Quite a lot of these protocols are binary because: * It allows for greater throughput * On a device level these protocols are easier to implement * On a device level they are more resource (CPU/RAM) efficient Currently InterSystems IRIS offers several functions for work with binary data: * zzdump * $zhex * $char * $ascii But protocol implementation is left as a task for the end user. Removing the time-consuming need for protocol implementation would allow for easier and stronger positioning of InterSystems IRIS as an IoT platform. One of the possible approaches to protocol implementation is declarative parsing. With declarative parsing user describes the data structure that he wants parsed (i.e.{ name: title, type: string, length: 5}...) in some declarative language (XML, JSON, YAML) and we use this to generate a concrete parser. Afterwards user passes protocol data to the concrete parser implementation and receives parsed values (as objects or locals or $lb). Kaitai Struct (http://kaitai.io) is an OpenSource (MIT license) declarative parser implementation which allows user to generate parser code for several languages: C++, C#, Go, Java, JavaScript, Lua, Perl, PHP, Python, Ruby, Rust. It allows easy language extensibility by keeping most of the process language-agnostic and only the last step (concrete parser generation) is end-language specific. I propose we add ObjectScript as a Kaitai Struct generation language. It would allow us to generate native ObjectScript parsers easily which would help with presenting InterSystems IRIS an IoT platform especially at a PoC stage. Alternatives to Kaitai Struct: * binpac (https://github.com/bro/binpac) - C++ only * preon (https://github.com/preon/preon) - Java only The advantage of Kaitai Struct is that it's not aimed at one language form the beginning, so adding a new language is an expected procedure. Article on the topic (https://old.reddit.com/r/cpp/comments/5tcnmh/implementing_communication_protocols_in_c_for/) E 3Votes0Comments | ||||||
![]() 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 |