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Integration
Cache-Ansible
Cache-Ansible
Ansible Role for the installation of Intersystems Cache on Linux based systems
Developer Environment
findtable
findtable
Query entity class corresponding structure.
17
Developer Environment
Grafana Plugin for InterSystems
Grafana Plugin for InterSystems
Grafana Data Source Plugin for InterSystems
4
Analytics
Intersystems-Cache-Prometheus
Intersystems-Cache-Prometheus
Code to allow for the integration of an Intersystems Cache environment with Prometheus/Grafana
Technology Example
Samples-BI
Samples-BI
Provides sample data for use with InterSystems IRIS Business Intelligence, as well as fully developed sample BI models and dashboards.
3
Developer Environment
InterSystems LanguageServer
InterSystems LanguageServer
InterSystems Language Server which works directly with SuperPort
1
Developer Environment
IntelliJ InterSystems
IntelliJ InterSystems
IntelliJ IDEA Plugin for InterSystems
4
Technology Example
code-compare
code-compare
Attempt to compare two export files of the same project
Frameworks
iris-rad-studio
iris-rad-studio
IRIS RAD Studio it's a low-code solution that came to make the developer's life easier; Allowing everyone to create their CRUD based on a simple class definition or even a CSV file.
3
Developer Environment
IRIS_REST_Documentation
IRIS_REST_Documentation
Development tool for documenting REST API endpoints [INTERSYSTEM IRIS]
Frameworks
iris-rad-studio-samples
iris-rad-studio-samples
Samples for IRIS RAD Studio
Solutions
iriscode
iriscode
Command line utility to write code outside of IRIS
Frameworks
RESTFormsRAD
RESTFormsRAD
Forms adapter for InterSystems IRIS RAD Studio
Integration
irismysql
irismysql
Linux command line utility to migrate tables from Mysql/Mariadb to Intersystems IRIS
Integration
cachecmd
cachecmd
Linux command line utility to interface with Intersystems Cache
1
Integration
iriscmd
iriscmd
Simple utility to interface with Intersystems IRIS environment from shell command line
Technology Example
iris-dataset-titanic
iris-dataset-titanic
Titanic passengers dataset in InterSystems IRIS. Could be imported as ZPM too
Developer Environment
errors-global-analytics
errors-global-analytics
Analytics for the bugs in ^ERRORS
2
Technology Example
apptools-util
apptools-util
Utilities adapting for IRIS and working with modules ZPM
Integration
iam-zero-to-hero
iam-zero-to-hero
Self training for IAM (InterSystems API Manager).
Developer Environment
mg_php
mg_php
A PHP Extension for InterSystems Caché/IRIS.
3
Developer Environment
mg_go
mg_go
A GO Extension for InterSystems Caché/IRIS.
2
Developer Environment
mg-dbx
mg-dbx
A Node.js Extension for InterSystems Caché/IRIS. The focus and rationale for this solution is high-performance NoSQL-based access to the database, though access to InterSystems SQL, Objects and Functions is also supported.
1
Developer Environment
mg_ruby
mg_ruby
A Ruby extension for InterSystems M/Caché/IRIS
2
Developer Environment
mg_python
mg_python
A Python Extension for InterSystems Caché/IRIS.
Developer Environment
cmPurgeBackup
cmPurgeBackup
cmPurgeBackup is an utility that can be used to erase old Online Backup files.
2
Technology Example
Airplane React, Material UI, and REST API
Airplane React, Material UI, and REST API
Development of a System using React, Material UI and REST API IRIS.
2
Developer Environment
vscode-intersystems-iris
vscode-intersystems-iris
POC of VSCode extension which provides some control over InterSystems IRIS with direct native access, without utilizing AtelierAPI. Provides access to Interoperability and Globals.
4
Technology Example
Integration scheme for heterogeneous messages in heterogeneous systems
Integration scheme for heterogeneous messages in heterogeneous systems
Integration scheme for heterogeneous messages in heterogeneous systems
1
Solutions
RESTFUL_API_For_Hotel_OverBooking_System
RESTFUL_API_For_Hotel_OverBooking_System
Develop RESTFUL Data API in InterSystems IRIS Data Platform Development for Hotel Overbooking Management System. PS:The overbooking management system combines the unique conditions of the hotel, such as room prices, order channels, customer needs (etc...). System uses machine learning algorithms (such as: KNN/ES-RNN...) to accurately predict the daily no-show and occupancy rate of the hotel, and further combines with the revenue equation to find the best largest room sales volume, which can significantly increase the hotel marginal revenue.
62