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netdata is a system for distributed real-time performance and health monitoring. It provides unparalleled insights, in real-time, of everything happening on the system it runs (including applications such as web and database servers), using modern interactive web dashboards.netdata is fast and efficient, designed to permanently run on all systems (physical & virtual servers, containers, IoT devices), without disrupting their core function.
The Zephyr Project is a scalable real-time operating system (RTOS) supporting multiple hardware architectures, optimized for resource constrained devices, and built with security in mind. The Zephyr OS is based on a small-footprint kernel designed for use on resource-constrained systems: from simple embedded environmental sensors and LED wearables to sophisticated smart watches and IoT wireless gateways.
SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.
Verse 2.0 is network protocol for real-time sharing of 3D data. It is successor of old Verse protocol developed at KTH. Verse 2.0 is still in alpha version. The source code of Verse library is licensed under BSD license. This library could be used for implementation of Verse client. The source code of Verse server is licensed under GNU GPL 2.0 license. For details look at files BSD-LICENSE and GPL-LICENSE.
A 3D Real Time Fluid Solver based on Jos Stam's 2D fluid solver (stable Navier-Stokes solver). Reference: Jos Stam, "Real-Time Fluid Dynamics for Games". Proceedings of the Game Developer Conference, March 2003.
Goal: Reliable low-latency audio playback and recording with Python, using PortAudio via the sounddevice module. The audio callback is implemented in C (and compiled with the help of CFFI) and doesn't invoke the Python interpreter, therefore avoiding waiting for things like garbage collection and the GIL.