Search Results for "resource-constrained project scheduling"
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Showing 1464 open source projects for "resource-constrained project scheduling"
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Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
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BTOP++
BTOP++ for Windows
BTOP++ is the Windows port of btop++, bringing the same modern, graphical terminal resource monitor experience to Windows systems. It shows detailed and live statistics for processor usage, memory consumption, disk activity, network traffic, and both processes and services, all in an interactive terminal UI. The project is implemented as a native Windows build of the C++ btop++ continuation of bashtop and bpytop, optimized for Windows consoles. -
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Koordinator
A QoS-based scheduling system brings optimal layout and status to work
Koordinator is a modern scheduling system that colocates microservices, AI, and big data workloads on Kubernetes. It achieves high utilization by combining elastic resource quota, efficient pod-packing, over-commitment, and resource sharing with container resource isolation. Koordinator is high-performance, scalable, yet most importantly, proven in mass production environments. -
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ANTIRTOS
Function pointers queues classes library for Arduino
ANTIRTOS is a compact real-time operating system (RTOS) written in ANSI C for microcontrollers and embedded systems. It is designed to be simple, portable, and efficient, making it ideal for resource-constrained environments such as IoT devices, robotics, and educational hardware projects. ANTIRTOS features a basic scheduler, support for cooperative and preemptive multitasking, and offers portability across different CPU architectures with minimal changes. Its simplicity and clarity make it... -
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TurboQuant PyTorch
From-scratch PyTorch implementation of Google's TurboQuant
...The framework integrates directly with PyTorch workflows, making it accessible for researchers and engineers already familiar with the ecosystem. It is particularly useful for deploying models in resource-constrained environments such as edge devices or real-time systems. -
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Karpenter
Kubernetes Node Autoscaling: built for flexibility, and performance
...It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Karpenter responds quickly and automatically to changes in application load, scheduling, and resource requirements, placing new workloads on a variety of available compute resource capacities. Karpenter comes with a set of opinionated defaults in a single, declarative Provisioner resource which can easily be customized. No additional configuration is required! Karpenter observes the aggregate resource requests of unscheduled pods and makes decisions to launch and terminate nodes to minimize scheduling latencies and infrastructure costs. ... -
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ICU4X
Solving i18n for client-side and resource-constrained environments
Welcome to the home page for the ICU4X project. ICU4X provides components enabling a wide range of software internationalization. It draws deeply from the experience of ICU4C, ICU4J, and ECMA-402 and relies on data from the CLDR project. -
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Plandex
AI driven development in your terminal
Plandex is an AI-powered project planning and scheduling tool that optimizes resource allocation and workflow efficiency using predictive algorithms. -
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GanttProject
Official GanttProject repository
GanttProject is a cross-platform desktop application for project scheduling and Gantt chart creation. It allows users to create tasks, assign resources, and track progress with ease. GanttProject is aimed at small teams and individuals who need offline project planning without the complexity or cost of enterprise tools. -
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Karpor
World's most promising Kubernetes Visualization Tool
Karpor is Intelligence for Kubernetes. It brings advanced Search, Insight and AI to Kubernetes. It is essentially a Kubernetes Visualization Tool. With Karpor, you can gain crucial visibility into your Kubernetes clusters across any clouds. -
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zclaw
Your personal AI assistant at all-in 888KiB
zclaw is a highly compact personal AI assistant framework designed to run on constrained embedded hardware such as the ESP32. The project focuses on delivering core assistant capabilities within an extremely small footprint, demonstrating how AI-driven automation can operate on microcontrollers. It includes support for GPIO control, scheduled tasks, memory handling, and other embedded automation features that enable real-world device interaction. -
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BOINC
Open-source software for volunteer computing and grid computing
BOINC (Berkeley Open Infrastructure for Network Computing) is an open-source platform that enables distributed computing using volunteered computer resources. It allows researchers to harness massive amounts of processing power from public participants for scientific projects such as climate research, disease modeling, and astrophysics. BOINC supports cross-platform deployment and is backed by a large, active community. -
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XXL-JOB
A distributed task scheduling framework
XXL-JOB is a distributed task scheduling platform for managing and executing jobs in Java-based applications. Designed for scalability and ease of use, it provides a powerful web interface for task definition, monitoring, and execution. XXL-JOB supports various scheduling strategies, distributed execution, failover, and script-based job execution. It is widely adopted in enterprise systems for background task orchestration and automation. -
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OSINT Framework
OSINT Framework
...The project was originally created from an information security perspective but has since expanded to support journalists, analysts, and digital investigators across many disciplines. Its value lies in curation and discoverability, allowing users to pivot rapidly between relevant intelligence tools during investigations. The framework includes indicators showing whether a resource requires registration, manual editing, or local installation, improving workflow planning. -
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AGI (Android GPU Inspector)
Android GPU Inspector
...It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. Its frame debugger lets you step through commands, inspect render targets and textures, review shaders, and experiment with pipeline changes to validate optimizations. Beyond per-frame analysis, AGI correlates GPU activity with CPU threads and system events to diagnose contention, scheduling issues, and thermal or power constraints. ... -
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i2pd
I2P: End-to-End encrypted and anonymous Internet
i2pd (I2P Daemon) is a lightweight, full-featured C++ implementation of the I2P (Invisible Internet Project) protocol, designed for enabling anonymous, encrypted, and censorship-resistant communication. It functions as a router node in the I2P network, supporting services like anonymous websites (eepsites), email, file sharing, and secure messaging. i2pd is designed to be resource-efficient and suitable for running on embedded systems or routers while maintaining compatibility with the wider I2P ecosystem. -
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qvac-fabric-llm.cpp
QVAC Fabric: cross-platform LLM inference and fine-tuning
...A key innovation is its support for BitNet ternary quantized models, enabling highly efficient inference and training even on resource-constrained systems. -
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Parallax
Parallax is a distributed model serving framework
Parallax is a decentralized inference framework designed to run large language models across distributed computing resources. Instead of relying on centralized GPU clusters in data centers, the system allows multiple heterogeneous machines to collaborate in serving AI inference workloads. Parallax divides model layers across different nodes and dynamically coordinates them to form a complete inference pipeline. A two-stage scheduling architecture determines how model layers are allocated to... -
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CodeMirror MCP
CodeMirror extension to hook up a Model Context Provider (MCP)
The codemirror-mcp project is a CodeMirror extension that integrates the Model Context Protocol (MCP) into the CodeMirror editor. This extension enhances the editor's capabilities by providing features such as autocompletion for resource mentions and prompt commands, as well as visual styling for these elements. It aims to streamline the user experience when working with MCP within the CodeMirror environment. -
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Cats Effect
The pure asynchronous runtime for Scala
Cats-Effect is a high-quality functional programming library for Scala that provides a principled way to represent and manage side effects, particularly asynchronous and concurrent computations. It is part of the broader Typelevel ecosystem and builds on the abstractions from Cats (such as Functor, Monad, etc.). The core abstraction is the IO type (or effect types more generally), which encodes effectful computations in a pure, referentially transparent way. Cats-Effect offers capabilities... -
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GLM-4.1V
GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning
GLM-4.1V — often referred to as a smaller / lighter version of the GLM-V family — offers a more resource-efficient option for users who want multimodal capabilities without requiring large compute resources. Though smaller in scale, GLM-4.1V maintains competitive performance, particularly impressive on many benchmarks for models of its size: in fact, on a number of multimodal reasoning and vision-language tasks it outperforms some much larger models from other families. -
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Moss
Rust Linux-compatible kernel
Moss Kernel is an open-source operating system kernel project designed to explore modern OS design and provide a foundation for experimental system research and development. Rather than replicating traditional monolithic kernels exactly, it emphasizes modularity, safety, and simplicity by incorporating well-structured subsystems for memory management, scheduling, and device abstraction that are easy for contributors to understand and extend. -
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Granite 3.0 Language Models
New set of lightweight state-of-the-art, open foundation models
...Activity on the project shows an evolving codebase with open pull requests and standard GitHub project structure for issues and security visibility. In practice, this is a hub for acquiring Granite 3.0 variants and understanding how to integrate them into applications. -
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Ever Teams
Open Work and Project Management Platform
Ever Teams is a modern open-source team management and operations platform built with NestJS, Angular, and PostgreSQL. It provides tools for managing employees, scheduling, location tracking, and team collaboration. Designed for remote teams and field service operations, it helps centralize team activity and streamline communication. -
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react-big-calendar
gcal/outlook like calendar component
An events calendar component built for React and made for modern browsers (read: IE10+) and uses flexbox over the classic tables-ception approach. Styles can be found at: react-big-calendar/lib/css/react-big-calendar.css, and should be included on the page with the calendar component. Also make sure that your calendar's container element has a height, or the calendar won't be visible. Date internationalization and localization is hard and react-big-calendar doesn't even attempt to solve that...
