Search Results for "cpu memory usage"
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Showing 10 open source projects for "cpu memory usage"
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1
Text Search Engine
A text search engine that supports mixed Chinese and English search
Text-Search-Engine is a JavaScript-based lightweight search engine that enables full-text search functionality. It allows developers to implement fast search indexing and retrieval in web applications. -
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React Native Screens
Native navigation primitives for your React Native app
...It is not mainly intended as a standalone app-facing library, but as a foundation used by full navigation systems. By relying on native screen containers, it can improve memory usage, navigation performance, and platform consistency. The library is commonly used with React Navigation and native stack navigators. It supports modern navigation patterns such as stacks, modals, headers, and sheet-style presentations. Its main value is helping React Native navigation feel closer to native iOS and Android behavior while improving efficiency behind the scenes. -
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lru-cache
A fast cache that automatically deletes the least recently used items
node-lru-cache is a high performance in memory caching library for Node.js that automatically evicts the least recently used items when the cache reaches its size limit. It is designed to provide predictable memory usage while maintaining fast lookup and update operations. The library is widely used in server side JavaScript applications where efficient caching can significantly improve performance. -
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Worktale
Turns git history into a personal record of what you actually built
Worktale is a local-first developer productivity tool designed as a command-line interface that transforms raw Git history into a structured, human-readable record of a developer’s actual work output. Instead of relying on memory, scattered commits, or external tracking tools, it automatically captures and organizes commit activity into a cohesive narrative that reflects what was built, when, and how. The tool operates entirely on the user’s machine, scanning repositories and installing... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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5
WSLUI
WSL2 Manager desktop application built with Tauri, Vite, React, and TypeScript
WSL UI is a lightweight desktop app for managing Windows Subsystem for Linux distributions through a modern graphical interface, replacing complex command-line administration. Dashboard & Monitoring — View all distributions with real-time CPU, memory, and disk usage. Filter by status, WSL version, or installation source. -
6
Shumai
Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun
Shumai is an experimental differentiable tensor library for TypeScript and JavaScript, developed by Facebook Research. It provides a high-performance framework for numerical computing and machine learning within modern JavaScript runtimes. Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine... -
7
Ostara
Ostara is an admin app for Spring Boot applications
...With Ostara we wanted to create a tool that just works out of the box, without the need for anything besides a functioning Actuator API on the other end. Ostara allows you to gain insights into the performance and health of your applications by providing real-time data of metrics such as CPU and memory usage, app and system properties, beans and their dependencies, and much more. In addition the app allows you to perform actions on your applications like changing log levels and evict caches. Ostara is open source and free to use. We would greatly appreciate any feedback, recommendations and/or requests. -
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emruby
emscripten'ed MRI
emruby is a project that integrates the mruby lightweight Ruby interpreter into emulation and embedded environments, enabling scripting capabilities within systems that require high performance and low memory usage. It is designed to allow developers to embed Ruby-based scripting into applications such as emulators or other performance-sensitive software, providing flexibility without sacrificing efficiency. By leveraging mruby, emruby enables dynamic behavior, configuration, and extensibility within otherwise static systems. The project focuses on bridging native C or C++ environments with a scripting layer that can be used to control logic, automate workflows, or prototype features. ... -
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Incremental DOM
An in-place DOM diffing library
...Instead of creating and diffing large object graphs, templates compile to a sequence of function calls that “patch” the live DOM in place. This model eliminates allocations associated with virtual trees and allows updates to be streamed directly to the DOM, which can improve memory usage and reduce GC pressure. It integrates naturally with template compilers (such as those that generate calls from HTML-like markup) but can also be used by hand for fine-tuned rendering. The library is small and focused: it manages element creation, attribute updates, and text nodes while leaving state management and data flow to the host framework. ... -
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10
react-tiny-virtual-list
A tiny but mighty 3kb list virtualization library
...It focuses on simplicity and minimal footprint, offering a dependency-free solution that is only a few kilobytes in size. The library works by rendering only the visible portion of a list, reducing memory usage and improving rendering speed. It supports both fixed and variable item sizes, allowing developers to build flexible and dynamic interfaces. The component also includes features such as scrolling to specific indices and handling horizontal or vertical layouts. Its design makes it ideal for applications that need to display thousands or even millions of items efficiently. ...
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