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IRIS-Intelligent-Butler

# IRIS-Intelligent Butler IRIS Intelligent Butler is an AI intel

janzai renato
Docker
Python
IPM
AI
ML
ML
4.0 (1)27 Mar, 2025 128

ISCLauncher

Hotkey macro app for quick access to InterSystems resources

B
Benjamin Spead
0.0 (0)15 Dec, 2024 67

InterSystems Ideas Waiting to be Implemented

Implement IRIS connector for Airbyte data integration engine

Airbyte 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
by Dmitry Maslennikov

5

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iris-dev-codeinspector

Validates packages and classes, returning a report with issues.

Rodolfo Moreira
Docker
IPM
4.0 (1)25 Sep, 2024 269

IRIS AI Studio

AI Studio to load and retrieve vector embeddings from your files

Ikram Shah
Python
AI
0.0 (0)16 May, 2024 543

iris-cloudsql-exporter

Pull Observability Metrics from your Cloud Based IRIS Cloud SQL Deployment

Ron Sweeney
Docker
Python
0.0 (0)05 Mar, 2024 102

StarChat

Java-based chat project

A
Anna Diak
Docker
IPM
0.0 (0)04 Dec, 2023 301

flask-iris

A quick guide / template to use Flask and IRIS side by side.

H
Heloisa Paiva
Python
0.0 (0)06 Oct, 2023 336

iris-size-django

A portal for visualizing and keeping track of memory usage of an

H
Heloisa Paiva
Docker
Python
4.8 (2)06 Oct, 2023 427

dbt-duckdb-iris

Include IRIS Tables in Data Build Tool with Python

Ron Sweeney
Python
0.0 (0)22 Aug, 2023 211

AI text detection

Is your text generated by AI?

O
Oleh Dontsov
Docker
Python
AI
ML
ML
4.7 (3)01 Jul, 2023 424

Customer churn predictor

Checking customer churn with IntegratedML

O
Oleh Dontsov
Docker
Python
ML
ML
5.0 (2)28 Apr, 2023 229

iris-mlm-explainer

Create, Train, Validate, Predict and Explore ML models

Muhammad Waseem
Python
5.0 (1)22 Apr, 2023 404

audit-consolidator

Consolidate Audit data from any IRIS instances to IRIS Cloud SQL

O
Oliver Wilms
Docker
Python
5.0 (1)22 Apr, 2023 250

Sheep’s Galaxy

Example of using InterSystems IRIS Cloud SQL and IntegratedML

M
Maria Gladkova
Docker
Python
ML
ML
2.0 (1)21 Apr, 2023 462

IntegratedML-IRIS-Cloud-Height-prediction

Height and weight prediction based on InterSystems IntegratedML

Shanshan Yu
2.0 (1)19 Apr, 2023 353

Tokenizator

Tokenize sensitive data, store it on Cloud SQL and get it after

Yuri Marx
Docker
5.0 (1)18 Apr, 2023 342