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 |
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![]() IRIS-Intelligent-Butler# IRIS-Intelligent Butler IRIS Intelligent Butler is an AI intel | Docker Python IPM AI ML ML | 4.0 (1) | 27 Mar, 2025 | |||
![]() ISCLauncherHotkey macro app for quick access to InterSystems resources | B | 0.0 (0) | 15 Dec, 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 | ||||||
![]() iris-dev-codeinspectorValidates packages and classes, returning a report with issues. | Docker IPM | 4.0 (1) | 25 Sep, 2024 | |||
![]() IRIS AI StudioAI Studio to load and retrieve vector embeddings from your files | Python AI | 0.0 (0) | 16 May, 2024 | |||
![]() iris-cloudsql-exporterPull Observability Metrics from your Cloud Based IRIS Cloud SQL Deployment | Docker Python | 0.0 (0) | 05 Mar, 2024 | |||
![]() StarChatJava-based chat project | A | Docker IPM | 0.0 (0) | 04 Dec, 2023 | ||
flask-irisA quick guide / template to use Flask and IRIS side by side. | H | Python | 0.0 (0) | 06 Oct, 2023 | ||
![]() iris-size-djangoA portal for visualizing and keeping track of memory usage of an | H | Docker Python | 4.8 (2) | 06 Oct, 2023 | ||
![]() dbt-duckdb-irisInclude IRIS Tables in Data Build Tool with Python | Python | 0.0 (0) | 22 Aug, 2023 | |||
AI text detectionIs your text generated by AI? | O | Docker Python AI ML ML | 4.7 (3) | 01 Jul, 2023 | ||
Customer churn predictorChecking customer churn with IntegratedML | O | Docker Python ML ML | 5.0 (2) | 28 Apr, 2023 | ||
![]() iris-mlm-explainerCreate, Train, Validate, Predict and Explore ML models | Python | 5.0 (1) | 22 Apr, 2023 | |||
audit-consolidatorConsolidate Audit data from any IRIS instances to IRIS Cloud SQL | O | Docker Python | 5.0 (1) | 22 Apr, 2023 | ||
![]() Sheep’s GalaxyExample of using InterSystems IRIS Cloud SQL and IntegratedML | M | Docker Python ML ML | 2.0 (1) | 21 Apr, 2023 | ||
IntegratedML-IRIS-Cloud-Height-predictionHeight and weight prediction based on InterSystems IntegratedML | 2.0 (1) | 19 Apr, 2023 | ||||
![]() TokenizatorTokenize sensitive data, store it on Cloud SQL and get it after | Docker | 5.0 (1) | 18 Apr, 2023 |