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 |
|---|---|---|---|---|---|---|
![]() Beyond-Server-LimitsRun OS independent OS commands from IRIS / Caché | Docker Python | 5.0 (1) | 25 Jan, 2026 | |||
![]() dc-maisMulti-Agent Interoperability Systemis an agentic micro-framework | Docker Python IPM AI | 0.0 (0) | 25 Jan, 2026 | |||
InterSystems Ideas Waiting to be ImplementedImplement IRIS connector for Airbyte data integration engineAirbyte is an open-source data integration platform that allows users to sync data from different sources to various destinations. Its architecture is modular and it relies on the use of connectors for each source or destination. Every connector has the task of understanding, extracting, and writing data from or to a specific system. https://airbyte.com/connectors The reasons for implementing a connector to IRIS for Airbyte include: * Real-time Data Movement: If you want to move data in real-time (or near-real-time) from IRIS to other platforms (or vice-versa), a dedicated connector in Airbyte can facilitate that. * Ease of Use: With an Airbyte connector, users can easily set up and manage data integrations without having to write custom code. This is particularly useful for teams without extensive development resources. * Scalability: Airbyte's architecture supports scalable data integration. As your data grows in IRIS or other platforms, Airbyte can handle the increased load. * Customization: Every organization's data needs are unique. With an open-source platform like Airbyte, organizations have the flexibility to customize the IRIS connector as per their specific needs. * Community Support: As more organizations use and contribute to the Airbyte connector ecosystem, the connectors, including the one for IRIS, will benefit from community-driven enhancements, bug fixes, and best practices. In conclusion, implementing a connector to IRIS for Airbyte can significantly simplify and enhance the process of integrating InterSystems IRIS with other data platforms and tools, enabling organizations to gain more value from their data assets. Airbyte offers cloud or self-managed solutions, as well as open-source and enterprise. D 5Votes2Comments | ||||||
![]() The adopted BitmapHow to enable Bitmaps for nonstandard IDs | Docker | 5.0 (1) | 25 Jan, 2026 | |||
![]() fast-JSON-formatting-Cachefast JSON formating for Caché / Ensemble | Docker | 5.0 (1) | 25 Jan, 2026 | |||
![]() SPOOL-mappingSPOOL as SQL tabel | Docker | 4.5 (1) | 25 Jan, 2026 | |||
![]() SPOOL-demoDemo Code using SPOOL | Docker | 4.5 (1) | 25 Jan, 2026 | |||
![]() Sync-Data-with-DSTIMESynchronizing your data to some external DB | Docker | 5.0 (1) | 25 Jan, 2026 | |||
![]() clouddoc-demo-dockerSample Java app for IRIS Cloud Document | N | Docker | 0.0 (0) | 25 Jan, 2026 | ||
![]() IRIS-NativeAPI-Nodejs-compactan all-in-1 package of the WebSocket MicroService Demo | Docker | 5.0 (1) | 23 Jan, 2026 | |||
![]() Row Storage vs. Columnar in IRIS nativeperformance check with COS inside IRIS | Docker | 5.0 (2) | 23 Jan, 2026 | |||
![]() native-api-command-line-javaJava Client for NativeAPI CommandLine Extension | Docker IPM | 5.0 (1) | 23 Jan, 2026 | |||
swagger-request-validatorSimple Swagger validator of API requests | 0.0 (0) | 23 Jan, 2026 | ||||
![]() native-api-command-line-extensionObjectScript Commad Extension for IRIS NativeAPI | Docker | 5.0 (1) | 22 Jan, 2026 | |||
![]() native-api-global-view-and-copyGlobal View + Copy using Native API | Docker | 5.0 (1) | 22 Jan, 2026 | |||
OAuth2 Native Authentication for Web ApplicationsThis repo explains how to set up OAuth2 for Web Applications. | A | 0.0 (0) | 22 Jan, 2026 | |||
![]() native-api-command-line-clientObjectScript client for IRIS NativeAPI | Docker IPM | 5.0 (1) | 22 Jan, 2026 | |||
![]() ZPretty-updshow JSON in readable, multilines | Docker IPM | 5.0 (1) | 22 Jan, 2026 | |||
![]() Native-API-for-ObjectScriptA small demo on how to use it | Docker | 5.0 (1) | 22 Jan, 2026 | |||
![]() IRIS-fast-ECP-setupFast setup of ECP client / sever with almost no manual intervention. | Docker | 5.0 (1) | 21 Jan, 2026 | |||
![]() Tutorial-QUERYShow a use case of %QUERY | 5.0 (1) | 21 Jan, 2026 | ||||
IRIS OpenTelemetry DemoA local OpenTelemetry demo environment for InterSystems IRIS, using Docker Compose to collect and visualize metrics, traces, and logs with modern observability tools. | Q | 5.0 (1) | 20 Jan, 2026 | |||
dc-toonToken-Oriented Object Notation (TOON) encoder/decoder for InterSystems IRIS ObjectScript – a compact, human-readable alternative to JSON that cuts LLM prompt size by ~30–50% while preserving full structure for RAG and agents. | Docker IPM | 4.0 (1) | 19 Jan, 2026 | |||
FHIR-AI-Hackathon-KitA kit for using IRIS with Python to create FHIR applications with AI | G | Docker Python AI | 0.0 (0) | 16 Jan, 2026 | ||
JSON2PersistentLittle tool to create persistent or message classes for InterSystems IRIS and InterSystems IRIS For Health from JSON input. The created classes will extend %JSON.Adaptor | M | Docker IPM | 5.0 (5) | 14 Jan, 2026 | ||
IRIS_dockerizationSet up an entire IRIS for Data Science using Docker | Docker Python AI ML ML | 4.5 (1) | 09 Jan, 2026 | |||
![]() iris-health-fhir-agentic-demoEvent-driven Agentic AI demo for healthcare using InterSystems IRIS for Health and FHIR | A | Docker Python AI | 5.0 (1) | 09 Jan, 2026 | ||
![]() irisJWTJSON Web Token implementation in IRIS | Docker IPM | 5.0 (2) | 08 Jan, 2026 | |||
iris-vector-searchQuick and easy ways to use iris vector search with Python. | F | Docker AI ML ML | 4.3 (3) | 06 Jan, 2026 | ||
one-to-many-caseA case with one-to-many data and its import/export options in IRIS | Docker IPM | 5.0 (1) | 05 Jan, 2026 | |||
ConfigSettingsExtractConfiguration setting extractor to a CSV file | K | 4.5 (2) | 29 Dec, 2025 | |||