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| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
![]() AutoML Churn Predict ShowroomInterSystems IRIS AutoML Showroom | Docker IPM ML ML | 5.0 (1) | 12 May, 2024 | |||
![]() companies-searchFind a company based on Glassdoor with Vector Search and GPT. | L | Docker Python IPM AI | 5.0 (1) | 17 May, 2024 | ||
InterSystems Ideas Waiting to be ImplementedParser for arbitrary binary protocolsRapid growth of IoT industry in recent years produced a plethora of new protocols with varying levels of standardization and adoption. Quite a lot of these protocols are binary because: * It allows for greater throughput * On a device level these protocols are easier to implement * On a device level they are more resource (CPU/RAM) efficient Currently InterSystems IRIS offers several functions for work with binary data: * zzdump * $zhex * $char * $ascii But protocol implementation is left as a task for the end user. Removing the time-consuming need for protocol implementation would allow for easier and stronger positioning of InterSystems IRIS as an IoT platform. One of the possible approaches to protocol implementation is declarative parsing. With declarative parsing user describes the data structure that he wants parsed (i.e.{ name: title, type: string, length: 5}...) in some declarative language (XML, JSON, YAML) and we use this to generate a concrete parser. Afterwards user passes protocol data to the concrete parser implementation and receives parsed values (as objects or locals or $lb). Kaitai Struct (http://kaitai.io) is an OpenSource (MIT license) declarative parser implementation which allows user to generate parser code for several languages: C++, C#, Go, Java, JavaScript, Lua, Perl, PHP, Python, Ruby, Rust. It allows easy language extensibility by keeping most of the process language-agnostic and only the last step (concrete parser generation) is end-language specific. I propose we add ObjectScript as a Kaitai Struct generation language. It would allow us to generate native ObjectScript parsers easily which would help with presenting InterSystems IRIS an IoT platform especially at a PoC stage. Alternatives to Kaitai Struct: * binpac (https://github.com/bro/binpac) - C++ only * preon (https://github.com/preon/preon) - Java only The advantage of Kaitai Struct is that it's not aimed at one language form the beginning, so adding a new language is an expected procedure. Article on the topic (https://old.reddit.com/r/cpp/comments/5tcnmh/implementing_communication_protocols_in_c_for/) E 3Votes0Comments | ||||||
iris-image-vector-searchUsing IRIS vector search to achieve image retrieval | s | Docker Python IPM | 4.5 (1) | 15 May, 2024 | ||
Job Advertisement GeneratorRAG tool to assist HR in creating job advertisements quickly | S | AI | 0.0 (0) | 09 May, 2024 | ||
![]() hackupcHACKUPC 2024 edition | M | Python AI ML ML | 0.0 (0) | 07 May, 2024 | ||
ImageSearchVideoAn image search corresponds to a video application | R | Docker IPM | 4.5 (1) | 07 May, 2024 | ||
![]() Hackupc24_interText-to-video application based on user photos. | J | Python AI | 0.0 (0) | 05 May, 2024 | ||
![]() Demo-Pandas-AnalyticsDemo application to demonstrate how to use the analytics power of IRIS Embedded Python | E | Docker Python IPM | 5.0 (1) | 03 May, 2024 | ||
![]() hl7v2-to-kafkaA simple IRIS interoperability application - transform HL7 and send it to Kafka | S | Docker IPM | 5.0 (1) | 01 May, 2024 | ||
AriticleSimilarityComparing article similarity through vector search | x | Docker IPM | 3.5 (1) | 09 May, 2024 | ||
![]() workshop-workflowExample of workflow management an UI | Docker | 5.0 (1) | 26 Apr, 2024 | |||
![]() Database Growth - Data Collection and AnalysisThe two continued repos are linked at the end of DataCollection. | A | Docker | 4.0 (2) | 04 Aug, 2024 | ||
deployed-code-templateAn example of how to deploy ObjectScript without source via IPM | Docker IPM | 5.0 (2) | 22 Apr, 2024 | |||
![]() iris-openaiLibrary for use Open AI | Docker IPM AI | 5.0 (5) | 18 Apr, 2024 | |||
![]() llama-irisSupport for IRIS for Llama-index | Docker Python | 0.0 (0) | 16 Apr, 2024 | |||
![]() langchain-irisSupport for IRIS for Langchain | Python | 5.0 (1) | 16 Apr, 2024 | |||
fhirproSupports the profiling of FHIR resources in HealthShare ODS | B | 5.0 (2) | 04 Apr, 2024 | |||
iris-fhirsqlbuilder-dbt-integratedmlDemonstration of building predictive models trained on FHIR data | Docker Python AI ML ML | 0.0 (0) | 29 Mar, 2024 | |||
workshop-vector-faceFace recognition using vectors and vector search. | Docker AI | 4.8 (2) | 27 Mar, 2024 | |||
iris-xml-sampleIRIS sample for interoperate XML files | Docker | 5.0 (1) | 27 Mar, 2024 | |||
BardPythonSampleAn Embedded Python Calling Bard Example | x | Python IPM AI | 0.0 (0) | 25 Mar, 2024 | ||
![]() iris-analytics-packageThis project has the intention to show a basic approach using the Analytics capabilities of InterSystems IRIS | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
iris-analytics-notebookA notebook approach to use IRIS analytics capabilities. | Docker IPM | 4.0 (1) | 25 Mar, 2024 | |||
sql-rest-apiSimple REST API web app which accepts SQL and returns the result in JSON | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
iris-csv-anonymizerVersion: store/intersystems/iris-community:2020.3.0.221.0 | R | Docker IPM | 5.0 (1) | 25 Mar, 2024 | ||
iris-image-index-demoA demo on how to build a custom SQL index for images data type. | Docker Python IPM | 3.0 (1) | 25 Mar, 2024 | |||
![]() fast-JSON-formatting-IRISfast JSON formatting in IRIS | Docker IPM | 4.5 (1) | 25 Mar, 2024 | |||
![]() WebSocketClient CSP basedExtended CSP page consuming WebService as Client | Docker IPM | 3.0 (1) | 25 Mar, 2024 | |||
![]() iris-fhir-portalPatient Chart using FHIR Resources | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
iris-fullstack-templateThis template shows you how to build, test and deploy a simple full-stack application using InterSystems IRIS REST API | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||