| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
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) | 08 Oct, 2025 | ||
CubeEventMonitorTool for monitoring BI cube events and build errors | S | Docker IPM | 4.0 (1) | 15 Jul, 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 | ||||||
PivotToPowerBIView extracted data from IRIS BI cubes in Power BI | P | Docker IPM | 5.0 (1) | 22 Jun, 2025 | ||
![]() AnalyzeThisEasily transform a CSV file/Table/SQL query into a personalized preview of InterSystems IRIS BI | P | Docker IPM | 5.0 (3) | 20 Jun, 2025 | ||
![]() ThirdPartyChartPortletsUse third-party charting libraries inside of Dashboards | P | Docker IPM | 4.5 (1) | 20 Jun, 2025 | ||
ReadyForActionDemo for "Demos and Drinks" at InterSystems READY 2025 | P | Docker Python | 5.0 (1) | 20 Jun, 2025 | ||
CustomCubeActionManagerEasily manage InterSystems IRIS BI custom cube actions | P | Docker IPM | 4.5 (1) | 06 Jun, 2025 | ||
![]() PivotSubscriptionsSubscribe to Pivot Tables in InterSystems IRIS Business Intelligence to receive scheduled emails | P | Docker IPM | 5.0 (1) | 14 May, 2025 | ||
iris-analytics-templateBasic template for IRIS Analytics solutions | Docker IPM | 5.0 (2) | 13 Aug, 2024 | |||
samples-bi-demoDemo of InterSystems IRIS BI cubes, pivots and dashboards in DSW | Docker IPM | 4.5 (1) | 14 Jun, 2024 | |||
![]() iris-analytics-packageThis project has the intention to show a basic approach using the Analytics capabilities of InterSystems IRIS | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
Samples-BIProvides sample data for use with InterSystems IRIS Business Intelligence, as well as fully developed sample BI models and dashboards. | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
WidgetsDirectorA sample IRIS Backend app to implement a REST API for a helpdesk | C | Docker IPM | 3.8 (3) | 23 Jan, 2024 | ||
![]() Intersystems IRIS platform queue trend monitoring componentIntersystems IRIS platform queue trend monitoring component | Y | IPM | 3.5 (2) | 03 Feb, 2023 | ||
![]() iris-analytics-datastudioGoogle DataStudio connector to InterSystems IRIS Analytics (DeepSee) | 4.0 (1) | 09 Sep, 2021 | ||||
Reducing Readmission Risks with Realtime MLPatient Readmissions are said to be the Hello World of Machine Learning in Healthcare. We use this problem to show how IRIS can be used to safely build and operationalize ML models for real time predictions and how this can be integrated into a random application. | A | Docker ML ML | 5.0 (1) | 29 Jan, 2020 | ||
DeepSeeButtonsTool for analyzing your DeepSee Environment | P | 4.0 (1) | 12 Dec, 2019 | |||
DSW ReportsAddon for DeepSee Web which provides online reports and PDF emailing reports from InterSystems DeepSee dashboards | S | 0.0 (0) | 11 Dec, 2019 | |||