Search Results for "linux performance booster" - Page 65
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Showing 6199 open source projects for "linux performance booster"
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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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Apache Druid
A high performance real-time analytics database
Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired. Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly... -
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Qwen3-VL
Qwen3-VL, the multimodal large language model series by Alibaba Cloud
Qwen3-VL is the latest multimodal large language model series from Alibaba Cloud’s Qwen team, designed to integrate advanced vision and language understanding. It represents a major upgrade in the Qwen lineup, with stronger text generation, deeper visual reasoning, and expanded multimodal comprehension. The model supports dense and Mixture-of-Experts (MoE) architectures, making it scalable from edge devices to cloud deployments, and is available in both instruction-tuned and... -
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osu!framework
A game framework written with osu! in mind.
A game framework written with osu! in mind. If you are interested in creating a project using the framework, please start from the getting started wiki resources (or jump straight over to the project templates). You can either start off from an empty project, or take a peek at a working sample game. Either way, full project structure, cross-platform support, and a testing setup are included! This framework is intended to take steps beyond what you would normally expect from a game framework.... -
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Kingfisher
Lightweight, pure-Swift library for downloading images from the web
Kingfisher is a powerful, pure-Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app. Asynchronous image downloading and caching. Loading image from either URLSession-based networking or local provided data. Useful image processors and filters provided. Multiple-layer hybrid cache for both memory and disk. Fine control on cache behavior. Customizable expiration date and size limit.... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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HiDream-I1
Open-source image generative foundation model
HiDream-I1 is an open-source image generation foundation model with 17 billion parameters. It is designed to produce high-quality images from text prompts while keeping inference practical through efficient model design. The project provides full, dev, and fast model variants with different inference step counts. It supports direct Python inference scripts, an interactive Gradio demo, and integration through the Hugging Face Diffusers library. The model uses a Llama 3.1 text encoder path and... -
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LiteRT-LM
LiteRT-LM is Google's production-ready inference framework
LiteRT-LM is Google’s open-source inference framework for deploying large language models on edge devices. It is built for production-oriented local LLM execution across Android, iOS, desktop, web, embedded, and IoT environments. The framework focuses on performance, hardware acceleration, and efficient model serving close to the user instead of relying only on remote cloud inference. It supports CPU execution across major platforms and adds GPU or NPU acceleration where available. LiteRT-LM... -
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mold
A Modern Linker
Mold is a modern high-performance linker designed as a drop-in replacement for traditional Unix linkers, with a primary goal of dramatically reducing build times for large software projects. In compiled languages like C, C++, and Rust, the linking phase can become a significant bottleneck, especially in large codebases, and mold addresses this by leveraging highly optimized algorithms and extensive parallelism. It is capable of utilizing all available CPU cores efficiently, resulting in... -
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S-UI
An advanced Web Panel • Built for SagerNet/Sing-Box
S-UI is an advanced web-based management panel built on top of SagerNet and Sing-box, designed to simplify the configuration and monitoring of proxy and networking services through an intuitive graphical interface. It provides a centralized dashboard where users can manage inbound and outbound connections, configure routing rules, and monitor traffic usage in real time. The platform supports multiple protocols and clients, making it flexible for different networking scenarios such as proxy... -
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Humanoid-Gym
Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real
Humanoid-Gym is a reinforcement learning framework designed to train locomotion and control policies for humanoid robots using high-performance simulation environments. The system is built on top of NVIDIA Isaac Gym, which allows large-scale parallel simulation of robotic environments directly on GPU hardware. Its primary goal is to enable efficient training of humanoid robots in simulation while enabling policies to transfer effectively to real-world hardware without additional training.... -
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Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
Search with Lepton is an open source demonstration project that shows how to build a conversational search engine using the Lepton AI framework. It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code... -
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Maestro AI Orchestration
Agent Orchestration Command Center
Maestro is a cross-platform desktop application designed for power users to orchestrate and manage fleets of AI agents and project workflows from a keyboard-centric interface. It provides a high-performance experience for running multiple agent sessions in parallel, integrating with tools such as Claude Code, OpenAI Codex, and other agent tooling to automate tasks, perform unattended execution, and organize long-running work flows. Users can collaborate with AI to draft specifications, break... -
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8mb.local
Ffree local self hosted video compressor webui
8mb.local is a lightweight, self-hosted local network status dashboard and utilities hub designed to help users monitor devices and services connected to their home or small business network. The platform presents a simple yet informative web dashboard that dynamically updates with device statuses, IP addresses, and latency information, giving users a centralized view of network health without complex dashboards. It also includes basic tools such as ping monitoring, service reachability... -
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FileRise
Lightweight, self-hosted file manager with granular ACLs
FileRise is a modern, self-hosted file transfer and synchronization platform designed to help users securely transfer and share files across devices without relying on third-party cloud providers. It offers an intuitive web interface that makes uploading, downloading, and organizing files easy, and it supports both public and private sharing through customizable links with optional expiration and password protection. The platform emphasizes privacy, ensuring all stored data remains under the... -
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RobotsTxt
The repository contains Google's robots.txt parser
This is a high-performance, production-tested library for parsing and evaluating robots.txt rules against crawler user agents. It implements the core semantics of the Robots Exclusion Protocol: user-agent sections, Allow/Disallow directives, wildcard handling, and precedence rules. The code is optimized for speed and low memory so large crawls can evaluate millions of URLs quickly. It also focuses on correctness—edge cases like overlapping patterns and longest-match resolution are handled... -
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InterceptSuite
A TLS MITM proxy for Non-HTTP traffic, with support for TLS upgrades
InterceptSuite is a cross‑platform, SOCKS5‑based MITM proxy specially designed to intercept, inspect, analyze, and manipulate encrypted network traffic at the TCP/TLS layer. It goes beyond HTTP‑focused tools like Burp Suite and ZAP by providing universal TLS interception—including STARTTLS and non‑HTTP protocols—offering deep visibility and control for security testing and debugging. InterceptSuite bridges this gap by providing a universal TLS interception engine that works with any... -
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Dive
Dive is an open-source MCP Host Desktop Application
Dive is an open‑source MCP host desktop application that serves as a bridge between MCP servers and any large language models supporting function calling, designed to deliver a seamless AI agent experience across environments. Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models. Enabling seamless MCP AI agent integration on both stdio and SSE mode. One-click access to managed MCP servers via OAPHub.ai - eliminates complex local deployments. Modern Tauri version alongside... -
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GridDB
GridDB is a next-generation open source database
A cyber-physical systems is a system that collects a variety of data in physical space (the real world), analyzes and converts it into knowledge in cyberspace, and feeds the knowledge back to the real world to revitalize industry and solve social problems. GridDB is an open database that enables real-time processing of vast amounts of time-series data in physical space, which is necessary to realize a cyber-physical system. Multi-model architecture capable of supporting various data stores... -
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Minify
Go minifiers for web formats
Minify is a minifier package written in Go. It provides HTML5, CSS3, JS, JSON, SVG and XML minifiers and an interface to implement any other minifier. Minification is the process of removing bytes from a file (such as whitespace) without changing its output and therefore shrinking its size and speeding up transmission over the internet and possibly parsing. The implemented minifiers are designed for high performance. The core functionality associates mime-types with minification functions,... -
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mdBook
Create books from markdown files
mdBook is a command line tool and Rust crate to create books with Markdown. The output resembles tools like Gitbook, and is ideal for creating product or API documentation, tutorials, course materials or anything that requires a clean, easily navigable and customizable presentation. mdBook is written in Rust; its performance and simplicity made it ideal for use as a tool to publish directly to hosted websites such as GitHub Pages via automation. This guide, in fact, serves as both the mdBook... -
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ImportExcel
PowerShell module to import/export Excel spreadsheets, without Excel
ImportExcel is a popular PowerShell module that enables reading, writing, and manipulating Excel spreadsheets without requiring Microsoft Excel to be installed on the host. It exposes straightforward cmdlets like Import-Excel and Export-Excel that convert between Excel sheets and PowerShell objects, making it simple to pipeline tabular data into reporting and automation flows. Advanced features include adding and formatting tables, setting number/date formats, creating charts, and applying... -
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Linux-Disk-Defrag
Defragmenter and SSD TRIM application for Ext4 partitions
Description: HDD defragmentation and SSD optimization tool. This program is an HDD defragmentation software developed for Debian-based systems. It increases performance on systems using HDDs by defragmenting fragmented files online without the need to shut down the system. It also supports SSD TRIM optimization. My github: https://github.com/shampuan/Linux-Disk-Defrag The official page of the GNU tool that is the engine of my program: http://e2fsprogs.sourceforge.net/ -
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h3-metal
MiniMax H3 inference engine for Mac computers
h3-metal is a native MiniMax-H3 inference engine for Apple Silicon focused on generating video and audio locally with Metal. It supports prompt-to-video and prompt-to-audio workflows as well as first-frame, last-frame, image, video, and audio references. An interactive terminal session keeps prompt conditioning, the diffusion transformer, and the video decoder in memory for faster repeated generations. Users can trade speed, quality, and memory through denoising steps, layer counts, reuse... -
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.NET Developer Roadmap 2026
The comprehensive .NET Developer Roadmap for 2026 by seniority level
.NET Developer Roadmap is a comprehensive 2026 study guide for becoming a professional .NET engineer. It maps more than 260 tools, libraries, frameworks, concepts, books, blogs, and videos across the ecosystem. The material begins with .NET runtimes, .NET Standard, C#, and general development skills. It continues through .NET Core, client-side .NET, databases, object-relational mapping, testing, logging, communication, caching, and background work. Later sections cover observability,... -
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LavinMQ
Ultra quick message queue and streaming server
LavinMQ is a high-performance message queue and streaming server built for efficient message delivery. It implements AMQP 0-9-1 and MQTT 3.1.1, making it useful for applications that need reliable messaging, IoT communication, event processing, and backend service coordination. The server is written in Crystal, which helps it keep memory usage low while supporting high throughput. It is designed to handle very long queues, many client connections, and production workloads with minimal... -
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whichllm
Find the local LLM that actually runs and performs best
whichllm is a command-line tool for finding local large language models that can realistically run on a user’s hardware. It detects the machine’s available resources, including GPU, CPU, memory, and storage, then recommends models based on practical fit rather than parameter count alone. The project is useful for users who are unsure which local LLM will perform well on their system. It focuses on real, recency-aware benchmarks so recommendations better reflect current model performance....
