Solution for rapid development of specific enterprise software
-
Updated
Mar 17, 2021 - Java
Low code is a software development approach that uses graphical development environments to simplify the process of building applications. Low-code development platforms or low-code platforms are a category of software development platforms that are designed to enable rapid application development. Rather than requiring developers to write code, low-code platforms provide a graphical user interface (GUI) with which users can configure and customize applications. Low-code platforms may also provide a visual programming language that allows users to create applications without writing code.
Solution for rapid development of specific enterprise software
Fixer.io conversion rates module for Simplicite
A low code web service build on top of Spring
Data-driven API testing framework, where you can define your APIs and scenarios and execute it without much code. A open source tool from http://techconative.com/
Example of Video SDK using Android Webview.
Trello integraton examples for Simplicité
Abixen Platform is a microservices based software platform for building enterprise applications delivering functionalities through creating particular microservices and integrating by provided CMS.
Auto generate executable source project with excel template
Java低代码快速开发框架,含轻量级数据中台、轻量级物联网平台、基于ZLmediakit的流媒体平台等。基于该框架开发的智慧安防平台项目:https://github.com/RotaNova/isc
A fully functional and responsive web application for paper trading simulation with fundamental and technical analysis of a company or a stock
A java framework using typed JSON for looseless communication of composed objects by one generic endpoint. Functionality is provided by special call objects with a generic execute method. Predefined generic calls for files, JSON, Excel, CSV, databases or templates. Compared with todays RPC its a "Remote Object Call" (ROC) architecture.
ML-Quadrat (ML2) is a Model-Driven Software Engineering (MDSE) tool with full code generation and out-of-the-box Machine Learning (ML) support at the modeling layer for creating smart services for the Internet of Things (IoT) and Cyber-Physical Systems (CPS).
ChatOps for Microservices Architecture - ChatOps4Msa