Search Results for "linux performance booster" - Page 24
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Showing 6198 open source projects for "linux performance booster"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Fiber
Express inspired web framework written in Go
An Express-inspired web framework written in Go. Fiber is a Go web framework built on top of Fasthttp, the fastest HTTP engine for Go. It's designed to ease things up for fast development with zero memory allocation and performance in mind. Setting up routes for your application has never been so easy! The Express-like route definitions are easy to understand and work with. Serve your static HTML, CSS, and JavaScript files with ease by defining static routes. You can also serve the contents... -
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NGINX Admin’s Handbook
How to improve NGINX performance, security, and other important things
nginx-admins-handbook is a practical, in-depth guide for configuring, securing, and operating NGINX across real-world deployments. It distills years of research, notes, and field experience into a single handbook that complements the official docs with concrete rules, explanations, and curated external references. The handbook spans fundamentals and advanced topics alike, from HTTP and SSL/TLS basics to reverse proxy patterns, performance tuning, debugging workflows, and hardening... -
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code-server
Run VS code on a remote server
code-server converts VS Code, the world’s most popular IDE, into a cloud IDE. This means you can essentially code on any device you choose with a consistent dev environment. With the entire dev environment running in large cloud servers, you can take advantage of faster speeds when running tests, builds, downloads and more. You also preserve battery life when you’re on the go since all intensive computation runs on your server. -
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Evaluate
A library for easily evaluating machine learning models and datasets
Evaluate is a library that makes evaluating and comparing models and reporting their performance easier and more standardized. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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SoapUI
SoapUI is a free and open source cross-platform functional testing
SoapUI is the world's leading testing tool for API testing. See the SoapUI website to learn more. By downloading our software, you agree to our license and privacy policy. Automate and fit API testing into your team’s continuous delivery pipeline with the next-generation tool built for validation of REST, SOAP, GraphQL, microservices, and other back-end services. This is for developers and testers looking to accelerate their ability to deliver REST, SOAP, and GraphQL APIs. SoapUI Open Source... -
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TokenSpeed
TokenSpeed is a speed-of-light LLM inference engine
TokenSpeed is an LLM inference engine designed for high-performance production agent workloads. It aims to combine TensorRT-LLM-level speed with vLLM-level usability, making it relevant for teams that need fast generation without sacrificing developer ergonomics. The project is focused on the specific needs of agentic systems, where latency, throughput, and efficient scheduling matter across many short or tool-heavy requests. It builds on ideas and components from the broader open-source... -
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Artalk
Your Self-hosted Comment System
Artalk is a modern, self-hosted comment system designed to provide a fast, privacy-focused alternative to third-party commenting platforms for blogs, websites, and web applications. It combines a lightweight frontend written in vanilla JavaScript with a high-performance backend powered by Go, enabling efficient cross-platform deployment and low resource usage. The system is framework-agnostic, allowing it to be integrated into virtually any frontend stack without dependency conflicts or... -
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Dominator
Zero-cost ultra-high-performance declarative DOM library using FRP
Dominator is a high-performance declarative DOM library for Rust that focuses on building web applications with minimal overhead by directly manipulating real DOM nodes instead of relying on a virtual DOM. It uses a functional reactive programming model based on signals, allowing UI components to automatically update in response to state changes in an efficient and predictable manner. The library is designed to be “zero-cost,” meaning that abstractions compile down to highly optimized code... -
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hash-wasm
Lightning fast hash functions using hand-tuned WebAssembly binaries
hash-wasm is a high-performance cryptographic and non-cryptographic hashing library that leverages hand-optimized WebAssembly binaries to deliver fast hashing capabilities in browsers, Node.js, and other JavaScript environments. The library supports a wide range of algorithms, including MD5, SHA variants, BLAKE, Argon2, bcrypt, and xxHash, making it suitable for applications ranging from security to data processing. By compiling optimized C implementations into WebAssembly, hash-wasm... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Butterchurn
Butterchurn is a WebGL implementation of the Milkdrop Visualizer
Butterchurn is a WebGL-based music visualization engine that recreates the classic MilkDrop visualizer experience entirely in the browser using modern web technologies. It is designed to render complex, real-time audio-reactive graphics that respond dynamically to music input, producing highly immersive and fluid visual effects. The engine uses GPU acceleration through WebGL to achieve high performance, allowing it to handle intricate shader-based visualizations without overwhelming system... -
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SEO Machine
A specialized Claude Code workspace for creating long-form
SEO Machine is an AI-powered content production system built as a structured workspace for generating long-form, SEO-optimized blog content through automated workflows. It integrates research, writing, analysis, and optimization into a single pipeline, allowing users to produce high-quality articles tailored to search engine performance. The system uses specialized commands and agents to perform tasks such as keyword research, competitor analysis, content drafting, and optimization. It... -
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SwiftUI Agent Skill
SwiftUI agent skill for Claude Code, Codex, and other AI tools
SwiftUI-Agent-Skill is an advanced agent skill designed to enhance AI coding assistants by embedding expert-level knowledge of SwiftUI development practices into their workflows. It provides structured guidance that helps AI tools generate more accurate, modern, and maintainable SwiftUI code by addressing common mistakes such as misuse of APIs, poor performance patterns, and accessibility oversights. The system includes a comprehensive review process that evaluates code across multiple... -
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Rust Training Books
Beginner, advanced, expert level Rust training material
Rust Training Books is a comprehensive educational repository created to teach developers the Rust programming language through structured lessons, exercises, and practical examples. It is designed to guide learners from basic concepts such as ownership and borrowing to more advanced topics like concurrency, performance optimization, and system-level programming. The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively... -
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ZML
Any model. Any hardware. Zero compromise
ZML is a high-performance machine learning inference stack designed to run AI models efficiently across heterogeneous hardware environments using a modern systems programming approach. Built with technologies such as Zig, MLIR, and Bazel, it focuses on production-grade deployment where performance, portability, and scalability are critical. The system allows models to be compiled and executed across multiple types of accelerators, including GPUs and TPUs, even when distributed across... -
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CUDA Core Compute Libraries (CCCL)
CUDA Core Compute Libraries
CCCL, or CUDA Core Compute Libraries, is a unified repository that consolidates several foundational CUDA C++ libraries into a single, cohesive development platform. It brings together Thrust, CUB, and libcudacxx, which collectively provide high-level abstractions, low-level performance primitives, and a CUDA-compatible standard library for GPU programming. The goal of CCCL is to simplify CUDA development by offering reusable building blocks that enable developers to write efficient and... -
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Browserless
The headless Chrome/Chromium driver on top of Puppeteer
Browserless is an open-source headless browser automation library and service built on top of Puppeteer that simplifies the process of running and scaling Chromium-based browser tasks in production environments. It provides a high-level API for interacting with headless Chrome, allowing developers to perform operations such as generating PDFs, capturing screenshots, extracting text or HTML, and automating web navigation. The project is designed to act as a production-ready abstraction layer... -
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MiroThinker
MiroThinker is an open source deep research agent
MiroThinker is an open-source deep research AI agent designed to perform complex reasoning, information gathering, and predictive analysis tasks. The system focuses on enabling long-horizon research workflows by allowing the agent to interact repeatedly with external tools, search systems, and data sources while refining its reasoning through iterative steps. Rather than simply generating responses from a single prompt, the agent performs structured multi-step reasoning processes that... -
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R-KV
Redundancy-aware KV Cache Compression for Reasoning Models
R-KV is an open-source research project that focuses on improving the efficiency of large language model inference through key-value cache compression techniques. Modern transformer models rely heavily on KV caches during autoregressive decoding, which store intermediate attention states to accelerate generation. However, these caches can consume large amounts of memory, especially in reasoning-oriented models with long context windows. R-KV introduces a method for compressing the KV cache... -
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ngraph.path
Path finding in a graph
ngraph.path is a JavaScript library that implements efficient pathfinding algorithms for graphs, primarily designed to compute shortest paths in weighted or unweighted networks. It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to... -
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lilliput
Resize images and animated GIFs in Go
Lilliput is a lightweight image codec and processing library tailored for environments where performance, portability, and resource efficiency are critical, such as gaming clients, real-time applications, or systems with constrained memory budgets. Designed to support fast decoding and manipulation of common image formats like PNG, JPEG, WebP, and BMP, Lilliput is engineered to minimize dependencies and be easily integrated into a variety of C/C++-based projects without pulling in heavy... -
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JMH Gradle Plugin
Integrates the JMH benchmarking framework with Gradle
The JMH Gradle Plugin provides integration of the Java Microbenchmark Harness (JMH) into Gradle builds, enabling developers to write and run performance benchmarks directly in their projects. JMH is the de facto standard for writing accurate and reliable Java microbenchmarks, and this plugin automates tasks like generating benchmark sources, compiling them with the required JMH support classes, and packaging runnable benchmark jars. It simplifies the workflow by handling classpath setup and... -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data... -
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webgl-plot
A high-Performance real-time 2D plotting library based on native WebGL
webgl-plot is a high-performance plotting library for real-time data visualization in the browser using WebGL. Unlike traditional canvas or SVG-based charting libraries, webgl-plot is optimized for streaming and dynamic updates, making it ideal for oscilloscope-style data, biomedical signals, or any application where data updates hundreds of times per second. Its minimal memory footprint and GPU acceleration ensure excellent performance even with tens of thousands of data points, and its... -
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OGRE-Next 3D
aka ogre v2 - scene-oriented, flexible 3D C++ engine
OGRE-Next is the next-generation iteration of the OGRE (Object-Oriented Graphics Rendering Engine), a powerful open-source 3D rendering engine designed for real-time applications, games, simulations, and visualizations. It focuses on high-performance rendering pipelines, especially Vulkan and modern OpenGL, offering tools for photorealistic and stylized rendering. OGRE-Next is modular and flexible, providing a developer-friendly environment with scene management, lighting, shadowing, and... -
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Taipy
Turns Data and AI algorithms into production-ready web applications
From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability. Taipy enhances performance with caching control of graphical events, optimizing rendering by selectively updating graphical components only upon interaction. Effortlessly manage massive datasets with Taipy's built-in decimator for charts, intelligently reducing the number of data points to save time and memory without losing the essence of your data's shape....
