Search Results for "linux performance booster" - Page 73

Showing 6199 open source projects for "linux performance booster"

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  • 1
    gnet

    gnet

    gnet is a high-performance, lightweight, networking framework

    Built in Go, gnet is ultra-fast and memory efficient based on the event-driven mechanism. It's designed to create a networking server framework for Go that performs on par with Redis and Haproxy for networking packets handling. gnet is lock-free during the entire runtime, which keeps gnet free from synchronization issues and speeds it up. gnet provides concise and easy-to-use APIs for users, it only exposes the essential APIs and takes over most of the tough work for users, minimizing the...
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  • 2
    FTXUI

    FTXUI

    C++ Functional Terminal User Interface

    Functional Terminal (X) User interface. A simple C++ library for terminal-based user interfaces! Support for animations. Support for drawing. No dependencies. Cross-platform, Linux/MacOS (main target), WebAssembly, Windows (Thanks to contributors!). Learn by examples and tutorials. Multiple packages, CMake FetchContent (preferred), vcpkg, pkgbuild, conan. Good practises: documentation, tests, fuzzers, performance tests, automated CI, automated packaging, etc. This is expected to be cross-platform. The DOM module defines a hierarchical set of Element. ...
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  • 3
    StereoKit

    StereoKit

    An easy-to-use mixed reality library for building VR applications

    StereoKit is an easy-to-use open source mixed reality library for building HoloLens and VR applications with C# and OpenXR! Inspired by libraries like XNA and Processing, StereoKit is meant to be fun to use and easy to develop with, yet still quite capable of creating professional and business-ready software. HoloLens 2, Oculus Quest, Windows Mixed Reality, Oculus Desktop, SteamVR, Monado (Linux), and eventually everywhere OpenXR is! Flat screen MR simulator with input emulation for easy...
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  • 4
    React Basics

    React Basics

    Learning repository centered on React 19

    React Basics is a comprehensive learning repository centered on React 19 and the wider modern React ecosystem. It covers JSX, components, props, state, lifecycle behavior, forms, Context, and major React hooks. Intermediate and advanced material explores performance optimization, error boundaries, lazy loading, Suspense, and code splitting. State management resources include Redux, Redux Toolkit, middleware, selectors, and RTK Query. Testing material covers Jest, React Testing Library,...
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  • 5
    HTTPSnoop

    HTTPSnoop

    Package httpsnoop provides an easy way to capture http related metrics

    HTTPSnoop is a Go package for capturing HTTP metrics from applications built with the standard net/http stack. It wraps existing http.Handler implementations so developers can measure requests without rewriting application logic. Recorded metrics include response status codes, response duration, and the number of bytes written. The package carefully preserves optional http.ResponseWriter interfaces that middleware and handlers may depend on. This avoids subtle compatibility problems that can...
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  • 6
    Postgres for Everything

    Postgres for Everything

    How to reduce complexity and move faster? Just Postgres for everything

    Postgres for Everything is a curated repository demonstrating how PostgreSQL can replace or consolidate many specialized infrastructure components. Rather than being a single application, it collects projects, extensions, articles, and examples built around PostgreSQL. Covered uses include message queues, analytics, GIS, search, time-series data, NoSQL, graphs, caching, APIs, and access control. It also catalogs approaches for replication, monitoring, testing, scaling, visualization, and...
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  • 7
    gpt-prompt-engineer

    gpt-prompt-engineer

    Experimental prompt optimization toolkit built around notebooks

    gpt-prompt-engineer is an experimental prompt optimization toolkit built around notebooks and LLM-assisted evaluation. It lets users describe a task, provide test cases, and generate many candidate prompts automatically. The system then tests those prompts against the examples and ranks their performance through an ELO-style scoring process. The repository includes versions for general prompt generation, classification tasks, Claude-based workflows, and model-to-model prompt conversion. It...
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  • 8
    Koishi

    Koishi

    Cross-platform chatbot framework made with love

    Koishi is a cross-platform chatbot framework built for extensibility, performance, and practical bot management. It lets users create chatbots for platforms such as QQ, Telegram, Discord, Feishu, and other messaging services. The project includes a web console that makes setup, monitoring, plugin installation, and behavior control easier for non-expert users. Its ecosystem includes thousands of official and community plugins for adapters, databases, storage, web panels, state handling, and...
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  • 9
    JamTools

    JamTools

    JamTools is a cross-platform gadget set software

    JamTools is a multifunctional desktop utility suite designed to provide a collection of tools for productivity, media processing, and system enhancements within a single application. It integrates various features such as file management, multimedia handling, and system utilities into a unified interface. The project emphasizes ease of use while offering advanced functionality for handling common tasks efficiently. It includes support for media-related operations, often leveraging FFmpeg for...
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  • 10
    xqvm-py

    xqvm-py

    A python implementation of the Quip Network's quantum virtual machine

    xq-py is a Python implementation of the Quip Network’s quantum virtual machine, offering a more accessible and flexible alternative to the Rust-based version for experimentation and rapid development. It is designed to provide similar functionality to xq-rs while prioritizing ease of use, readability, and integration with Python-based data science and research tools. The project enables developers to simulate or prototype quantum-inspired computations without needing to work at a lower...
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  • 11
    TorchCode

    TorchCode

    Practice implementing softmax, attention, GPT-2 and more

    TorchCode is an interactive learning and practice platform designed to help developers master PyTorch by implementing core machine learning operations and architectures from scratch. It is structured similarly to competitive programming platforms like LeetCode but focuses specifically on tensor operations and deep learning concepts. The platform provides a collection of curated problems that cover fundamental topics such as activation functions, normalization layers, attention mechanisms,...
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  • 12
    CliWrap

    CliWrap

    Library for interacting with command-line interfaces

    CliWrap is a .NET library that provides a high-level, fluent interface for launching and managing external command-line processes in a safe and asynchronous manner. It abstracts the complexity of the native process APIs by offering a composable model for configuring commands, arguments, working directories, and stream redirection. The library emphasizes reliability and developer ergonomics, including built-in support for piping, cancellation handling, and deadlock avoidance. CliWrap is fully...
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  • 13
    ThePrimeagen's init.lua

    ThePrimeagen's init.lua

    Neovim configuration repository

    init.lua is the personal Neovim configuration repository managed by ThePrimeagen, showcasing his curated setup that optimizes Neovim for modern development workflows using Lua rather than the traditional Vimscript. It includes a thoughtfully assembled set of plugins, key mappings, autocommands, UI tweaks, and performance settings that reflect years of live-coding refinement and real world use. The configuration leverages popular ecosystem tools like lazy plugin managers, language server...
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  • 14
    OWL

    OWL

    Optimized Workforce Learning for General Multi-Agent Assistance

    OWL (Optimized Workforce Learning) is a sophisticated open-source framework built on the CAMEL-AI ecosystem for orchestrating teams of AI agents to collaboratively solve complex, real-world tasks with dynamic planning and automation capabilities. Unlike single-agent systems, it treats task completion as a collaborative workforce where agents take on specialized roles (planning, execution, analysis) and coordinate via a modular multi-agent architecture that supports flexible teamwork across...
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  • 15
    SMTP Tunnel Proxy

    SMTP Tunnel Proxy

    A high-speed covert tunnel that disguises TCP traffic as SMTP email

    ...The tool supports modern TLS encryption (STARTTLS) with HMAC-SHA256 authentication, per-user secrets, IP whitelisting, and multiplexed connections over a single tunnel. With a simple installer and systemd service setup, users can quickly deploy it on a Linux VPS as a tunneled access point, then connect from Windows, macOS, or Linux clients using auto-generated client packages. The project is useful for environments where standard VPNs or proxies are blocked, offering a combination of performance and stealth.
    Downloads: 1 This Week
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  • 16
    BenchmarkDotNet

    BenchmarkDotNet

    Powerful .NET library for benchmarking

    BenchmarkDotNet is a powerful .NET library designed for creating accurate and reproducible benchmarks. It handles complexities like warm-up, outlier removal, and statistical analysis, presenting results in a clean, customizable summary format. BenchmarkDotNet has tons of features that are essential in comprehensive performance investigations. Four aspects define the design of these features: simplicity, automation, reliability, and friendliness. A lot of hand-written benchmarks produce wrong...
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  • 17
    Cachex

    Cachex

    A powerful caching library for Elixir with support for transactions

    Cachex is a high-performance in-memory caching library for Elixir, offering a robust feature set including expirations, size limits, hooks, fallbacks, async operations, and clustering capabilities. The version 4.x release brought optimized janitor routines, modular streaming and querying, runtime cache warming, size pruning (LRW/LRU), distributed routing mechanisms, and a major documentation overhaul. It integrates seamlessly with Elixir applications via mix dependencies, supports advanced...
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  • 18
    Iron Fish

    Iron Fish

    A novel cryptocurrency focused on privacy and accessibility

    Iron Fish is a privacy-first blockchain protocol that brings zero-knowledge proofs and encrypted transactions to a fully decentralized network. Its goal is to offer default, universal privacy for every user while remaining easy to use and scalable. Iron Fish uses zk-SNARKs to shield all transaction details and supports a novel PoS-like consensus called “Proof of Work with Delegation.” With its developer-friendly APIs and strong privacy guarantees, Iron Fish is designed to be the foundation...
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  • 19
    collapse

    collapse

    Advanced and Fast Data Transformation in R

    collapse is a high-performance R package designed for fast and efficient data transformation, aggregation, reshaping, and statistical computation. Built to offer a more performant alternative to dplyr and data.table, it is particularly well-suited for large datasets and econometric applications. It operates on base R data structures like data frames and vectors and uses highly optimized C++ code under the hood to deliver significant speed improvements. collapse also includes tools for...
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  • 20
    Yjs

    Yjs

    Shared data types for building collaborative software

    Yjs is a high-performance, open-source CRDT (Conflict-free Replicated Data Type) implementation for building collaborative, real-time applications. It enables multiple users to edit shared data structures—such as text documents, arrays, maps, and XML trees—synchronously and offline. Yjs is network-agnostic and works with WebRTC, WebSocket, or any other transport layer, making it ideal for collaborative editors, whiteboards, and design tools. Its compact updates and powerful reconciliation...
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  • 21
    DSPy

    DSPy

    DSPy: The framework for programming—not prompting—language models

    Developed by the Stanford NLP Group, DSPy (Declarative Self-improving Python) is a framework that enables developers to program language models through compositional Python code rather than relying solely on prompt engineering. It facilitates the construction of modular AI systems and provides algorithms for optimizing prompts and weights, enhancing the quality and reliability of language model outputs.
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  • 22
    GraalPy

    GraalPy

    A Python 3 implementation built on GraalVM

    GraalPy is a high-performance implementation of the Python language for the JVM built on GraalVM. GraalPy is a Python 3.11 compliant runtime. It has first-class support for embedding in Java and can turn Python applications into fast, standalone binaries. GraalPy is ready for production running pure Python code and has experimental support for many popular native extension modules.
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  • 23
    Slack Machine

    Slack Machine

    A simple, yet powerful and extendable Slack bot

    Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly but also allows for easy code organization. A plugin can look as simple as this:
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  • 24
    Daft

    Daft

    Distributed DataFrame for Python designed for the cloud

    Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python Dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run...
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  • 25
    Compute Library

    Compute Library

    The Compute Library is a set of computer vision and machine learning

    The Compute Library is a set of computer vision and machine learning functions optimized for both Arm CPUs and GPUs using SIMD technologies. The library provides superior performance to other open-source alternatives and immediate support for new Arm® technologies e.g. SVE2.
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