Software stack

TypeScript is used because the asynchronous functionality is very suited for IO-intensive scalable applications. TypeScript also has the benefit of offering a single language and environment for the front end and back end. Parallel processing with Node.js worker threads is implemented to avoid performance bottlenecks for CPU-intensive tasks such as importing and data analysis with neural networks. Also, Kubernetes can automatically scale performance by spinning up additional containers that run in parallel. Docker is used to package all front-end and back-end modules. Docker is also used for integration with third-party platforms. This allows the use of libraries written in various languages such as Python, Rust, or JavaScript while providing a consistent REST integration API. Kubernetes is used for the deployment of microservices because it provides ease of installation and scalability and runs on low-end and high-end platforms.

Area	Component	Usage
FrontEnd	Material-UI	Framework for front-end components such as buttons, date pickers and menus.
	React	Framework for development of app and progressive web applications.
	Three.js	High performance 3D graphics framework based on WebGL.
	That open	Reading IFC files and accessing BIM metadata.
	Blockly	Visual programming for automation, compliance monitoring, and solid modeling.
	Cesium	Display of digital twins and sensor data in a 3D world view.
	Websockets	Push state updates to browsers and mobile apps.
	TypeScript	Main development language for client and server.
	Ionic	Development of multi-platform apps with Bluetooth support.
	Jest	Automated unit testing and UI testing.
BackEnd	TensorFlow	Machine learning framework for data analysis and forecasting.
	Node.js	Main development environment for client and server.
	VM2	Sandbox for running user defined JavaScript customizations.
	Express	Web application framework for implementing REST APIs and web sockets.
	Swagger	OpenAPI 3.0 compliant REST API documentation.
	MongoDB	Persistent storage of IoT data, application data and documents.
	Rust	High-performance and low footprint microservices for making custom connections to other systems.
	C++	Programming microcontrollers with sensors such as ESP32.
	Puppeteer	Data collection using web crawling.
	Mocha	Automated unit testing and integration testing.
DevOps	Docker	Packing of microservices into containers for deployment on ARM64 and AMD64 platforms.
	Kubernetes	Deployment and scaling of docker containers.
	Helm	Installation and upgrading releases in Kubernetes.
	Ansible	Configuration of linux and virtual machines.
	Selenium	Integration testing and generation of screenshots for documentation.
	Gitlab	Source code management and continuous integration.