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| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
FHIR Agent StudioBuild AI Agents for InterSystems IRIS | S | Docker Python AI | 0.0 (0) | 13 Jun, 2026 | ||
![]() fast-httpFast HTTP wrapper for %Net.HttpRequest | Docker Python IPM | 5.0 (1) | 10 Jun, 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 | ||||||
pxw-lib-sqlA replacement of SQLQuery that helps simplfy complex queries | P | Docker IPM | 4.0 (1) | 06 Jun, 2026 | ||
![]() fhir-assistantFHIR AI Assistant using InterSystems IRIS and On premises LLM | AI | 0.0 (0) | 13 Jun, 2026 | |||
![]() ai-fhir-copilotAI-powered FHIR assistant with RAG and IRIS. | s | Docker Python AI | 0.0 (0) | 05 Jun, 2026 | ||
![]() smart-discharge-navigatorSmart Discharge Navigator tackles hospital readmissions | IPM AI | 5.0 (1) | 13 Jun, 2026 | |||
DeepSeeWebRenderer for DeepSee Dashboards in Browser with MDX2JSON as a Serverside and JS web-client | Docker IPM | 4.5 (2) | 26 May, 2026 | |||
![]() iris-redocInterSystems IPM plug-in to render IRIS API's with Redoc | Docker IPM | 5.0 (1) | 05 Jun, 2026 | |||
iris-mcp-blueprintThis repository is an example of a blueprint showing how to build an MCP server for InterSystems IRIS that contains several tool regarding SQL, Globals, Class methods, Atelier API, and Interoperability and reusable prompts and resources as well. Treat it as a starting point to create your own MCP tailored for your IRIS application | P | Docker Python AI ML ML | 0.0 (0) | 16 May, 2026 | ||
ai-hub-dev-templateDeveloper template to get started using AI Hub | G | Docker Python AI | 0.0 (0) | 07 May, 2026 | ||
READY 2026 LoanDemoLoanDemo from InterSystems READY 2026 "Agentic Engineering Live on Stage" session. | J | AI | 0.0 (0) | 29 Apr, 2026 | ||
![]() iris-certified-agentsInterSystems technology agents at your fingertips | AI | 0.0 (0) | 26 Apr, 2026 | |||
![]() Customizing the InterSystems IRIS for Health FHIR Repository - samplesHow to customize the InterSystems IRIS FHIR Repository - Samples | Docker Python IPM | 5.0 (1) | 10 Apr, 2026 | |||
iris-class-explorerA vibecoded frontend for iris stats app | Docker IPM AI | 5.0 (1) | 04 Apr, 2026 | |||
iris-budgetInterSystems IRIS Full Stack Budget App | O | Docker Python IPM | 5.0 (1) | 25 Feb, 2026 | ||
![]() facial-matchingRegister and validate people using facial recognition | Docker Python AI ML ML | 5.0 (1) | 28 Feb, 2026 | |||
![]() db-migration-using-SQLgatewayfrom PostgreSQL to InterSystems IRIS using SQLGateway | Docker | 5.0 (1) | 25 Jan, 2026 | |||
![]() SSH-for-IRIS-containerExample how you can add SSH server to a standard IRIS docker image | Docker | 4.0 (1) | 25 Jan, 2026 | |||
![]() zpmshwHelper to Search, Install, Uninstall ZPM packages | 3.5 (2) | 25 Jan, 2026 | ||||
![]() Stream-Sample-for-BeginnersIntro for first-time users of Streams in IRIS | 5.0 (1) | 25 Jan, 2026 | ||||
![]() WSockClientMicroSVDocker based WebSocket Client as Micro Service | Docker | 5.0 (1) | 25 Jan, 2026 | |||
![]() IRIS-fast-ECP-setupFast setup of ECP client / sever with almost no manual intervention. | Docker | 5.0 (1) | 21 Jan, 2026 | |||
![]() lovable-backendMinimalistic spec first API as a backend for Lovable AI UI | Docker IPM | 5.0 (1) | 18 May, 2025 | |||
![]() iris-fhir-templateFHIR Server template for InterSystems IRIS for Health | Docker IPM | 5.0 (3) | 28 Dec, 2025 | |||
![]() fhir-listsSample of using FHIR Lists (_list, Functional/Current Lists, and $find) | N | 0.0 (0) | 28 Dec, 2025 | |||
integratedml-demo-templateIntegratedML samples to be used as a template | Docker Python ML ML | 4.3 (2) | 27 Dec, 2025 | |||
iris-embedded-python-templateThe simplest template to run embedded python | Docker Python IPM | 5.0 (2) | 27 Dec, 2025 | |||
workshop-openehropenEHR repository implementation. | Docker | 3.8 (2) | 28 Jan, 2026 | |||
![]() DevHuba centralized toolkit and launcher framework designed for Devs | Docker IPM | 5.0 (1) | 31 Oct, 2025 | |||
python-iris-audio-queryText queries over audio knowledge base | Y | Docker Python AI | 0.0 (0) | 05 Oct, 2025 | ||