9 Application(s) results for #react
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fhir-frontend-react-lovable

Lovable react frontend for FHIR

Evgeny Shvarov
IPM
AI
0.0 (0)26 Mar, 2025 285

EduVerse

Accessible Learning Assistant

R
Rolano Rebelo
Python
AI
0.0 (0)11 Nov, 2024 85

InterSystems Ideas Waiting to be Implemented

Parser for arbitrary binary protocols

Rapid 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
by Eduard Lebedyuk

3

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Database Growth - Data Collection and Analysis

The two continued repos are linked at the end of DataCollection.

A
Ariel Glikman
Docker
4.0 (2)04 Aug, 2024 263

realworld-intersystems-iris

InterSystems IRIS Starter kit for new RealWorld framework implementations

Dmitry Maslennikov
Docker
IPM
5.0 (1)25 Mar, 2024 637 34

iris-python-machinelearn

Machine learning application Python IRIS

André Dienes Friedrich
Docker
Python
ML
ML
4.5 (1)22 Sep, 2023 404

ehh2022-diabro

Application by team robomeow for European Healthcare Hackathon.

M
Maksym Shcherban
0.0 (0)28 Nov, 2022 212

React-UI-Global

Application with toolkit for globals

E
Evgeniy Potapov
Docker
Python
4.0 (1)08 Apr, 2022 347

Airplane React, Material UI, and REST API

Development of a System using React, Material UI and REST API IRIS.

F
Flavio Lucio Naves Junior
Docker
3.0 (1)16 Mar, 2021 476

BeI-MultiModel

We've used a IRIS backend that is called via a REST-API from a react frontend application.

i
ivo Ver Eecke
Docker
IPM
4.0 (3)25 Jan, 2021 306