Search Results for "frameworks"

python-socketio is a robust Python library that implements the Socket.IO protocol, enabling real-time, bidirectional communication between web clients and servers. It works with multiple asynchronous frameworks such as asyncio, eventlet, and gevent, so developers can choose the concurrency model that best fits their application needs while still using a consistent API. The library provides both server and client implementations, allowing Python applications to serve and communicate with browser clients or other Socket.IO clients in real time. ...

The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials!...

...It's simple, it's easy to maintain, it's low risk, easy to scale, and requires low cognitive overhead. I wanted a lightweight web server that was powerful enough for me to abandon web frameworks for dead simple front-end publishing. Harp can be used as a library or as a command line utility. You may also use harp as a node library for compiling or running as a server.

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing...

reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.

...The project provides a highly customizable and hackable client-side engine: you define “widgets” such as time series graphs, gauges or labels, hook them to data providers, and the toolkit handles ingestion, rendering and live updates. While the code is somewhat dated (it uses Backbone + CoffeeScript/JavaScript rather than newer frameworks), it remains useful for legacy setups or teams wanting to build simple real-time dashboards without heavy infrastructure. The repository includes example dashboards and a builder API to define data sources and widget configurations. It also emphasises aesthetic and performance considerations, aiming to support thousands of data points and live refreshes in the browser.