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Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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![]() django-iris-todoA simple todo app built with Django and the ability to use IRIS | Docker Python | 4.0 (1) | 25 Feb, 2022 | |||
![]() appmsw-sql2xlsxModule for exporting IRIS queries to an excel file using the python openxl library. | Docker IPM | 5.0 (1) | 23 Feb, 2022 | |||
InterSystems Ideas Waiting to be ImplementedAI extensibility Prompt keyword for Class and Method implementation. Also Prompt macro generator.To accelerate capability of growing code generation. This proposal suggests new extensibility facilities and hooks that can be democratized to community and / or fulfilled by commercial partners. To add Training metadata to Refine a Large Language Model for code, a "Prompt Input" is associated with an expected "Code Output", as part of a class definition. This provide structured keywords to describe: * The expected output * And / Or Chain-of-thought to generate the correct output | /// The following Prompt describes the full implementation of the class Class alwo.Calculator [Abstract, Prompt = "Provides methods to Add, Subtract, Multiply and divide given numbers." ] { /// The following Prompt describes the full implementation of the method ClassMethod Add(arg1 As %Float, arg2 As %Float) As %Float [ Prompt ="Add numeric arguments and return result." ] { return arg1 + arg2 } ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { &Prompt("Subtract numeric arguments and return result") ) } | The Prompt macro generates code based on the context of the method it is within. Once resolved, it automatically comments out the processed macro. | ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { //&Prompt("Subtract arguments and return the result") return arg1 - arg2 //&Prompt("Model alwogen-objectscript-7.1.3") ) | The generator leveraged at compilation time could be configured in a similar way to how source control is configured for a namespace. Configuration could lock / exclude packages from being processed in this way. A "\prompt" compilation flag could be used to control the default environment behavior and editor compilation behavior. For example to force reprocessing of previously resolved prompts due to a newer more capable version of code Large Language Model, then a "\prompt=2" could be applied. Different models or third-party services could be applied depending the language of the given method. When redacting source code by "deployment", the existing "deploy" facility could be extended to also ensure removal of "Prompt" metadata from code. A 3Votes1Comments | ||||||
![]() iris-python-appsPython IRIS Dashboard, Data Sciences, Plotting and Visualization | Docker Python | 4.0 (1) | 23 Feb, 2022 | |||
![]() iris-python-dashboardsData Visualization App Using Embedded Python | E | Docker Python | 5.0 (1) | 22 Feb, 2022 | ||
![]() django-irisInterSystems IRIS backend for Django | Python | 0.0 (0) | 20 Feb, 2022 | |||
![]() IRIS-Database-and-Machine-Learning-Based-Approaches-for-Prediction-of-Spontaneous-Intracerebral-HemoIRIS-Database-and-Machine-Learning | F | Python | 0.0 (0) | 20 Feb, 2022 | ||
![]() IRIS Text2AudioText To Speech engine for InterSystems IRIS - Convert Text to Audio and Audio to Text | Docker | 5.0 (1) | 20 Feb, 2022 | |||
LogSimple macros-driven logging system | E | Docker IPM | 4.0 (1) | 18 Feb, 2022 | ||
![]() Node-RED node for InterSystems IRISNode-RED node for InterSystems IRIS | Docker | 5.0 (1) | 18 Feb, 2022 | |||
![]() Blinx AI - Turn Data into Intelligence in a blinxThe App Platform for AI Lifecycle | S | AI ML ML | 0.0 (0) | 15 Feb, 2022 | ||
![]() AI Image Object DetectorPython Embedded IRIS Application to Analyze images and videos using Machine Learning and ImageAI | Docker Python | 5.0 (1) | 08 Feb, 2022 | |||
InterSystems Iris Drivers DistributionOfficial InterSystems JDBC, ODBC drivers and other libraries | 5.0 (1) | 31 Jan, 2022 | ||||
![]() iris-kaggle-socrata-generatorDo you need some real data to use in your projects? Why not use real data from the best sources? | Docker Python IPM | 4.5 (1) | 16 Jan, 2022 | |||
![]() exchange-rate-cbrf-uiUI for demonstration exchange-rate-cbrf | Docker IPM | 5.0 (1) | 16 Jan, 2022 | |||
![]() exchange-rate-cbrfDatabase of exchange rates of the Central Bank RF | Docker IPM | 5.0 (1) | 16 Jan, 2022 | |||
![]() ApacheLog-DatasetDataset from a real Apache webserver | E | Docker IPM | 0.0 (0) | 16 Jan, 2022 | ||
dataset-financeDataset of Finance Transactions in a CSV file for SQL LOAD DATA | O | Docker IPM | 5.0 (1) | 15 Jan, 2022 | ||
IO-RedirectIO Redirect in ObjectScript | Docker IPM | 4.8 (2) | 15 Jan, 2022 | |||
PKI-ScriptIRIS Public Key Infrastructure helper | Docker IPM | 5.0 (1) | 15 Jan, 2022 | |||
![]() promjet-statsStatistics from promjet.ru site compared to Yandex.Metrika statistics | E | Docker IPM | 5.0 (1) | 15 Jan, 2022 | ||
![]() Medical DatasetsEasy to use 12 DataSets containing 43 tables | Docker IPM | 4.5 (1) | 15 Jan, 2022 | |||
analyze-dataset-financeAnalytics companion to dataset-finance | O | Docker | 5.0 (1) | 14 Jan, 2022 | ||
![]() Predict Maternal RiskPredict Maternal Risk from Health Dataset application | Docker ML ML | 5.0 (1) | 13 Jan, 2022 | |||
![]() Health Dataset10 curated health datasets (cancer, heart, diabetes, kidney) | Docker IPM | 5.0 (4) | 13 Jan, 2022 | |||
![]() aoc-2021-uvgAdvent of code 2021 in objectscript classes | Y | Docker IPM | 5.0 (1) | 06 Jan, 2022 | ||
![]() OPNEx-ECP DeploymentBuild quickly a full ECP architecture to test your apps | J | 5.0 (1) | 29 Dec, 2021 | |||
iris-python-examplesEmbedded Python examples with notebook support. | G | Docker Python | 5.0 (2) | 13 Dec, 2021 | ||
![]() IRIS JSON Schema ValidatorInterSystems IRIS JSON Schema support. | Docker | 4.5 (1) | 10 Dec, 2021 | |||
![]() appmsw-zpm-shieldsService for displaying version numbers of ZPM. | Docker IPM | 4.5 (1) | 10 Dec, 2021 | |||
![]() appmsw-dbdeployAn example of deploying solutions with prepared databases, even without source code. | Docker IPM | 5.0 (1) | 04 Dec, 2021 |