Search Results for "edge computing" - Page 2
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Showing 51 open source projects for "edge computing"
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TinyGo
Go compiler for small place
...You can compile and run TinyGo programs on over 60 different microcontroller boards such as the BBC micro:bit and the Arduino Uno. TinyGo can also produce WebAssembly (WASM) code which is very compact in size. You can compile programs for web browsers, as well as for server and edge computing environments that support the WebAssembly System Interface (WASI) family of interfaces. TinyGo is a Go compiler intended for use in small places such as microcontrollers, WebAssembly (Wasm), and command-line tools. It reuses libraries used by the Go language tools alongside LLVM to provide an alternative way to compile programs written in the Go programming language. ... -
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Unikraft
A next-generation cloud native kernel designed to unlock performance
Unikraft powers the next generation of cloud-native, containerless applications by enabling you to radically customize and build custom OS/kernels; unlocking best-in-class performance, security primitives, and efficiency savings. Unikraft optimizes resource utilization, leading to smaller footprints (meaning higher server saturation) and improved efficiency in resource-constrained environments. Unikraft is an open-source project driven by a vibrant community of over 100 developers, fostering... -
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Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best... -
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GrOWin
Gromacs on Windows
...Optimized Performance: Experience enhanced performance with Growin's dedicated CPU and GPU versions of the software. Whether you're utilizing the raw processing power of your CPU or leveraging the parallel computing capabilities of your GPU. 3. User-Friendly Interface: A simple command line interface on Windows for seamless navigation and efficient utilization of GROMACS functionalities. Discover the next level of MD simulations with Growin opening new possibilities -
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ZelixOS is an Arch-based Linux distribution designed for users who seek the raw power and cutting-edge software of Arch Linux, combined with a polished, user-friendly interface and modern system tools. Developed with a focus on gaming, development, and high-performance computing, ZelixOS 0.5 "Aurora" transitions the project into a full rolling-release model. ### Key Features: * **Zelix Installer (GUI):** A custom Python/PyQt6 graphical wizard that makes installing Arch Linux safe, fast, and visual...
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Free Network Monitor
Free network monitor with quantum readiness, real-time monitoring
Introducing our cutting-edge network monitor, designed to keep your network services and websites running smoothly and ready for the quantum computing age. Our real-time quantum readiness monitor ensures your website is prepared for future technological advancements. Coupled with our robust service monitor, you'll maintain top performance. Our expanded monitoring includes HTTP for website performance, ICMP for network pinging, DNS for domain lookup, and SMTP for email service monitoring. ... -
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Computer vision projects
computer vision projects | Fun AI projects related to computer vision
...The repository includes multiple demonstration systems implemented using languages such as Python and C++, covering topics ranging from object detection to embedded vision systems. Many of the projects illustrate how computer vision algorithms can interact with hardware platforms, including robotics systems and edge computing devices. The repository provides examples that combine machine learning models with real-world applications such as robotic arms, video analysis, and automated visual measurement systems. -
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pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing. -
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SuperEdge
An edge-native container management system for edge computing
SuperEdge is an open-source container management system for edge computing to manage compute resources and container applications in multiple edge regions. These resources and applications, in the current approach, are managed as one single Kubernetes cluster. A native Kubernetes cluster can be easily converted to a SuperEdge cluster. SuperEdge extends the powerful container orchestration and scheduling capabilities of Kubernetes to the edge. -
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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Erda
An enterprise-grade Cloud-Native application platform for Kubernetes
Erda is an open-source platform created by Terminus to ensure the development of microservice applications. It provides DevOps, microservice governance, and multi-cloud management capabilities. The multi-cloud architecture based on Kubernetes and application-centric DevOps and microservice governance can make the development, operation, monitoring, and problem diagnosis of complex business applications simpler and more efficient. erda is the core repository that implements all the RESTful... -
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Krustlet
Kubernetes Rust Kubelet
Krustlet is a Kubernetes kubelet implementation written in Rust that enables Kubernetes clusters to run workloads based on WebAssembly instead of traditional container images. It acts as an alternative node agent that integrates with Kubernetes while replacing the container runtime with a WebAssembly runtime, allowing applications to be deployed as Wasm modules. This approach provides improved startup times, stronger security isolation, and reduced resource consumption compared to... -
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jetson-ffmpeg
ffmpeg support on jetson nano
...The project includes a library and patch system that modifies FFmpeg builds to enable NVMPI-based acceleration. This allows efficient processing of video streams on embedded systems without overloading CPU resources. jetson-ffmpeg is particularly useful for edge computing applications such as robotics, surveillance, and real-time streaming. It requires building both the library and a patched version of FFmpeg to fully enable hardware features. Overall, it extends FFmpeg functionality to better suit embedded GPU-powered environments. -
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LaPath
Learning Automata algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. Learning Automata (LA) are adaptive mechanisms requiring feedback from the executing environment to converge to certain states. In the context of network routing, LA residing at intermediate nodes along a path, exploit feedback from the destination node for reducing, e.g., path's length. According to topology’s resources like the node and edge numbers, the proper number of iterations must be used. ... -
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Nebula-Python-SDK
A python SDK for managing Nebula container orchestrator
...Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. ... -
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Clay Golem
Golem is creating a global market for computing power
...The Golem Network, through its cutting-edge architecture, lets developers create ambitious projects without constraints, enabling users to process them at top speeds. -
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Haiway
Haiway Edge Computing OS
Haiway is a simple operating system written from scratch in C with the goal of helping learners understand OS development fundamentals. Targeting x86_64 systems and running in a bare-metal environment like QEMU, Haiway implements its own bootloader, kernel, and essential subsystems such as memory management, interrupt handling, and user process execution. Designed to be lightweight and readable, the project emphasizes clarity and modularity, making it a useful base for experimentation or... -
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Lucet
Lucet, the Sandboxing WebAssembly Compiler.
...Developed by the Bytecode Alliance, it focuses on ahead-of-time compilation, converting WebAssembly modules into native machine code before execution to achieve fast startup times and predictable performance. Lucet is particularly notable for its use in edge computing environments, where low latency and efficient resource usage are critical, such as in content delivery networks. It leverages the Cranelift code generator to produce optimized native binaries and provides a runtime that enforces strict sandboxing, ensuring that untrusted code cannot compromise the host system. The project is designed to embed easily into applications, allowing developers to extend systems with plugin-like architectures powered by WebAssembly. -
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The Fission CL
Command-line interface for Fission
...Users want data ownership and privacy without compromising on a seamless experience. You want to build a resilient application that is fast, cost-effective, and efficient. We build local-first and edge computing tools that make all of this possible. Fission builds open source protocols and managed solutions that empower developers to construct humane software applications. -
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Nebula docs
Documentation repo of nebula orchestration system
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are appliances\virtual appliances located at clients data centers, edge computing, and POS systems. Ever wandered how your going to push an update to that smart fridge your company is working on as it's thousands of devices around the globe? wish you could have the assurance that your service will always use the latest code\envvars\etc in all of it's edge locations? want the ability to stop\start a globally distributed service with a single command? ... -
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Nebula reporter
The optional reporter container which reads nebula reports from Kafka
Nebula is an open source-distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking effect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe. Ever wandered how your going to push an update... -
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Nebula worker
The worker node manager container which manages nebula nodes
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are IoT devices, appliances\virtual appliances located at clients data centers, and edge computing. Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes. -
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mini3d
3D Software Renderer in 700 Lines
The 3D software rendering tutorial, without any performance optimization, mainly shows people how to write a software renderer with a fixed pipeline. Although the main body code is only 700 lines, the sparrow is small and complete. The source code has only one mini3d.c, and a single file implements everything and is easy to read. No third-party library dependencies, no complicated project directories. Standard D3D coordinate model, left-handed system plus WORLD / VIEW / PROJECTION three... -
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darc
Durham Adaptive-optics Real-time Controller
darc, the Durham Adaptive optics Real-time Controller. For documentation or darctalk client only, select "View all files". For the latest bleeding-edge version, please use: git clone git://git.code.sf.net/p/darc2/code darc (no password required) (this changed May 2013 due to a sourceforge update). If you use darc, please cite with: Basden, A and Myers, R, MNRAS Vol 242, page 1483, 2012 -
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PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high...
