| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
integratedml-demo-templateIntegratedML samples to be used as a template | Docker Python ML ML | 4.3 (2) | 27 Dec, 2025 | |||
interoperability-integratedml-adapterAn IRIS Interoperability adapter to use ML models managed by IRIS IntegratedML | Docker IPM ML ML | 5.0 (1) | 25 Mar, 2024 | |||
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 | ||||||
AI text detectionIs your text generated by AI? | O | Docker Python AI ML ML | 4.7 (3) | 01 Jul, 2023 | ||
workshop-integratedml-csvExample of IntegratedML predictions based on real data in CSV | Docker ML ML | 5.0 (1) | 27 Jun, 2023 | |||
Customer churn predictorChecking customer churn with IntegratedML | O | Docker Python ML ML | 5.0 (2) | 28 Apr, 2023 | ||
![]() Sheep’s GalaxyExample of using InterSystems IRIS Cloud SQL and IntegratedML | M | Docker Python ML ML | 2.0 (1) | 21 Apr, 2023 | ||
![]() Disease PredictorPredict Diseases using InterSystems IRIS IntegratedML | Docker IPM ML ML | 5.0 (1) | 01 Jun, 2022 | |||
![]() Predict Maternal RiskPredict Maternal Risk from Health Dataset application | Docker ML ML | 5.0 (1) | 13 Jan, 2022 | |||
integrated-ml-demoBackend in Python or ObjectScript | G | Docker Python ML ML | 5.0 (1) | 31 Aug, 2021 | ||
fhir-integratedml-exampleAn example on how to use InterSystems IRIS for Health FHIR database to perform ML models througth InterSystems IRIS IntegratedML | Docker ML ML | 4.8 (3) | 01 Aug, 2021 | |||
covid-ai-demo-deployment"Covid-19 AI demo in Docker" deployment including dockerised Flask, FastAPI, Tensorflow Serving and HA Proxy etc etc. | Z | Docker Python ML ML | 0.0 (0) | 07 Sep, 2020 | ||
SAPPHIRESAPPHIRE is an web application to create and train your InterSystems IntegratedML models. You can load CSV data too. It is business user friendly. | Docker ML ML | 4.0 (1) | 19 Jul, 2020 | |||
iris-ml-suiteA suite to use IRIS as Machine Learning Environment. Helping the development community to classify the posts with tags. | R | Docker Python ML ML | 4.5 (1) | 18 Jul, 2020 | ||
![]() ML Made Easy : IntegratedMLA guide through the IntegratedML used as a hands-on session on InterSystems DACH PartnerTag 2020. It is based on work of Derek Robinson and documentation of InterSystems. | A | Docker AI ML ML | 5.0 (1) | 16 Jul, 2020 | ||
iris-integratedml-monitor-exampleExample on extending %Monitor.Adaptor to monitor IRIS IntegrateML models performance metrics. | Docker ML ML | 0.0 (0) | 12 Jul, 2020 | |||