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| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
![]() irisJWTJSON Web Token implementation in IRIS | IPM | 5.0 (2) | 08 Jan, 2026 | |||
![]() fhir-listsSample of using FHIR Lists (_list, Functional/Current Lists, and $find) | N | 0.0 (0) | 28 Dec, 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 | ||||||
![]() iris-localization-labIRIS-Localization-Lab is a web interface for managing InterSystems IRIS Localization Globals | IPM | 4.0 (1) | 26 Dec, 2025 | |||
![]() TestifyRun and View detailed test results and download reports | IPM | 4.0 (2) | 24 Dec, 2025 | |||
![]() IRISFHIRServerLogsIRIS FHIRServer repository and FHIR foundation Logs | IPM | 4.5 (1) | 24 Dec, 2025 | |||
![]() VIPIKHackathon | Y | AI ML ML | 0.0 (0) | 03 Dec, 2025 | ||
WP-ESWarfarin patient enrollment and stratification | Y | 0.0 (0) | 27 Nov, 2025 | |||
![]() FSLogInternal FHIR Server Log | Docker IPM | 4.5 (1) | 24 Nov, 2025 | |||
FHIR SQL Builder with Vector SearchFHIR SQL Builder with Vector Search Demo | F | AI | 5.0 (2) | 22 Nov, 2025 | ||
![]() iris-fastjsonschemairis‑fastjsonschema is a lightweight, high-performance JSON Schema validation toolkit. It combines the simplicity and speed of fastjsonschema with additional support for “iris”-style schema definitions | IPM | 4.5 (1) | 17 Nov, 2025 | |||
![]() DevHuba centralized toolkit and launcher framework designed for Devs | IPM | 5.0 (1) | 31 Oct, 2025 | |||
![]() quarkus-iris-monitor-systemAnalyze runtime ^PERFMON capabilities through JAVA native SDK. | D | 0.0 (0) | 11 Oct, 2025 | |||
![]() UNICAS ImplementationObjectScript implementation of FHIR R5 resources for ÚNICAS | IPM | 5.0 (1) | 26 Sep, 2025 | |||
![]() DataAILiteDataAIlite.com – Secure in-memory analytics | I | AI | 0.0 (0) | 19 Aug, 2025 | ||
![]() Smart Clinical Copilot - Configuration Management SystemAI-powered Clinical Decision Support System (CDSS) | K | AI ML ML | 5.0 (1) | 30 May, 2025 | ||
iris-medbot-guideAutomatically generate patient education content and personalize | s | IPM | 4.0 (1) | 25 May, 2025 | ||
![]() Langchain4jFhirAI-powered Quarkus backend that analyzes base on a FHIR | AI | 4.0 (1) | 24 May, 2025 | |||
FhirReportGenerationCombining FHIR medical information to obtain AI medical reports | X | 4.5 (1) | 23 May, 2025 | |||
![]() fhir-craftBuild your own FHIR resources with synthetic data | L | 5.0 (1) | 23 May, 2025 | |||
fhir-frontend-react-lovableLovable react frontend for FHIR | IPM AI | 0.0 (0) | 26 Mar, 2025 | |||
X-rAI-iris-healthInterSystems IRIS for Health Data Analytics with Explainable AI | R | AI ML ML | 0.0 (0) | 05 Mar, 2025 | ||
FHIR Primitive ExtensionHow to create a FHIR primitive extension | K | 0.0 (0) | 12 Dec, 2024 | |||
FHIRValidationTest cases validating FHIR payload against custom FHIR IG on InterSystems IRIS FHIR Server | L | 4.5 (1) | 10 Oct, 2024 | |||
VectorSearchOnPatientSimilarityA Patient similarity comparison demo running on IRIS for Health | L | 4.5 (1) | 23 Sep, 2024 | |||
smart-day-hands-onA hands-on workshop sample with detailed exercise instructions | N | 4.5 (1) | 22 Jun, 2025 | |||
![]() irisfirebaseFirebase module for InterSystems IRIS | D | Docker Python IPM | 5.0 (1) | 27 Jul, 2024 | ||
iris-fhirsqlbuilder-dbt-integratedmlDemonstration of building predictive models trained on FHIR data | Docker Python AI ML ML | 0.0 (0) | 29 Mar, 2024 | |||
formation-fhir-pythonTraining on FHIR and Python based on IRIS for Health. | G | Docker Python | 5.0 (1) | 29 Feb, 2024 | ||
fhirmessageverificationA Simple FHIR Message Verification Application+Message Create | Docker IPM | 5.0 (1) | 21 Feb, 2024 | |||
workshop-smartFunctional example of Angular APP + Auth0 + IRIS FHIR Repository | Docker | 0.0 (0) | 09 Feb, 2024 | |||