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raumCode GmbH Technology Stack

View raumCode GmbH's Technology Stack

raumCode GmbH uses 10 technologies like ASP.NET, Gmail, and Google Analytics. View raumCode GmbH's complete Tech Stack.

raumCode GmbH Programming Languages And Frameworks Technology

ASP.NET

ASP.net is an open source framework for building web applications and services with .NET and C#.

HTML

Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript.

NodeJS

Node.js is an open-source, cross-platform, JavaScript runtime environment that executes JavaScript code outside of a web browser.

Python

Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.

raumCode GmbH Communications Technology

Gmail

Gmail is a free, advertising-supported email service offered as part of Google's G Suite, with 15GB of storage, color-coded inbox filters and unsend button.

G Suite

G Suite is a suite of apps from Google which offers a number of tools to communicate and collaborate with colleagues, store files, and manage data.

raumCode GmbH Business Intelligence And Analytics Technology

Google Analytics

Google Analytics allows users to measure sales & conversions, plus gain fresh insights into how visitors use sites, & how they arrived on site.

Keras

Keras is an API designed for human beings, not machines. it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It is a central part of the tighly-connected TensorFlow 2.0 ecosystem.

OpenCV

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.