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Showing 48466 open source projects for "void based linux"

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  • Find Hidden Risks in Windows Task Scheduler Icon
    Find Hidden Risks in Windows Task Scheduler

    Free diagnostic script reveals configuration issues, error patterns, and security risks. Instant HTML report.

    Windows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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    Retool your internal operations

    Generate secure, production-grade apps that connect to your business data. Not just prototypes, but tools your team can actually deploy.

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  • 1
    Kubernetes Network Policy Recipes

    Kubernetes Network Policy Recipes

    Example recipes for Kubernetes Network Policies that you can just copy

    Kubernetes Network Policy Recipes is a practical, example-driven repository offering ready-to-use Kubernetes NetworkPolicy manifests and patterns for real application networking scenarios. Rather than just listing theoretical API specs, it groups recipes that implement common intent-based policies — such as isolating namespaces, restricting cross-pod traffic, enabling ingress from specific services, and locking down egress to only necessary endpoints — so users can pick and apply what they...
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  • 2
    jQuery Tips Everyone Should Know

    jQuery Tips Everyone Should Know

    A collection of tips to help up your jQuery game

    The jQuery Tips Everyone Should Know repository is a community-maintained compendium of useful tips, tricks, and best-practices for using the venerable jQuery library effectively. Instead of treating jQuery as a black-box tool, the repo surfaces practical advice: from how to handle events more reliably, to proper ways of manipulating the DOM, optimizing performance (e.g. caching selectors), and dealing with common patterns like AJAX, dynamic elements, error handling, and more. For developers...
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  • 3
    Scientific Visualization

    Scientific Visualization

    An open access book on scientific visualization using python

    The Scientific Visualization book is a freely available open-access textbook that introduces how to produce effective scientific visualizations using Python, focusing especially on leveraging the popular plotting library Matplotlib (and related tools). It goes beyond simple plotting tutorials and emphasizes design principles: how to choose colors, layout subplots, annotate graphs, and present data in a way that is both accurate and visually compelling. As such, it serves as a guide for...
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  • 4
    ByteHook

    ByteHook

    ByteHook is an Android PLT hook library

    ByteHook is a ByteDance-hosted project whose name suggests a hooking or instrumentation library, likely used for hooking system calls or API calls for monitoring, sandboxing or instrumentation. The repository appears to aim at low-level hooking/injection capabilities, perhaps to support runtime introspection, behavioral monitoring, or hooking-based instrumentation (e.g. for security, tracing, sandboxing, or debugging). Because hooking is a common technique for intercepting library or system...
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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

    Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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  • 5
    Lingvo

    Lingvo

    Framework for building neural networks

    Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state...
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  • 6
    Agently 4

    Agently 4

    Build GenAI application quick and easy

    Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at...
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  • 7
    Skiplist-CPP

    Skiplist-CPP

    A tiny KV storage based on skiplist written in C++ language

    Skiplist-CPP is a lightweight key-value storage engine implemented in C++ using a skip list as its core data structure. It showcases how a log-structured, ordered index can deliver fast inserts, lookups, and deletes while remaining simple to implement and reason about. The project supplies a compact codebase with a clear separation between the skip list implementation and the storage operations that use it. Beyond in-memory operations, it demonstrates persistence through data dump to disk...
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  • 8
    Java Design Patterns Website

    Java Design Patterns Website

    Next generation website for Java Design Patterns

    This project is the VuePress-powered web front end for the well-known “java-design-patterns” project, which documents classic and modern design patterns in Java. Its purpose is to present that large body of content as a browsable, fast, static website with organized navigation, search, and pattern categorization. Instead of reading patterns only in GitHub markdown, users can consume them in a more pleasant documentation format with sections, sidebars, and themed pages. The site structure...
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  • 9
    Front-End Performance Checklist

    Front-End Performance Checklist

    The only Front-End Performance Checklist that runs faster

    Front-End-Performance-Checklist is a comprehensive, developer-friendly guide that consolidates the most impactful client-side performance practices into a single, scannable resource. It frames performance as a front-end responsibility and turns broad principles into concrete, verifiable checks you can apply before shipping. The checklist is organized by areas such as HTML, CSS, JavaScript, fonts, images, and network delivery, so teams can tackle bottlenecks systematically. Each section...
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  • Desktop and Mobile Device Management Software Icon
    Desktop and Mobile Device Management Software

    It's a modern take on desktop management that can be scaled as per organizational needs.

    Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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  • 10
    Hello Python

    Hello Python

    Comprehensive tutorial repository aimed at teaching the Python program

    Hello-Python is a comprehensive tutorial repository aimed at teaching the Python programming language from scratch for beginners. It includes over 100 classes and about 44 hours of video instruction, combined with code samples, projects, and a chat community for support. The material covers the fundamentals—variables, data types, loops, functions—as well as intermediate topics like date handling, list comprehensions, file IO, regular expressions, modules, and packages. The course is designed...
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  • 11
    Node.js Testing Best Practices

    Node.js Testing Best Practices

    Beyond the basics of Node.js testing

    This repository narrows the testing lens to Node.js backends, focusing on the challenges of servers, microservices, and cloud-native deployments. It covers API testing, contract testing, and persistence-layer strategies that avoid coupling tests to fragile implementation details. The material explains how to structure tests around process boundaries—HTTP, queues, cron jobs—while keeping fast feedback cycles through selective integration tests and reliable test doubles. It dives into topics...
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  • 12
    s2n-quic

    s2n-quic

    An implementation of the IETF QUIC protocol

    s2n-quic is AWS’s open-source implementation of the IETF QUIC transport protocol, written in Rust and designed for performance, security, and modern usage. QUIC is a UDP-based, multiplexed, encrypted transport layer that underpins HTTP/3 and addresses issues such as head-of-line blocking and faster handshake times compared to TCP+TLS. This library integrates with AWS’s s2n-tls or rustls for the TLS 1.3 handshake and leverages Rust’s memory and thread safety guarantees to deliver a robust...
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  • 13
    vim-autoformat

    vim-autoformat

    Provide code formatting in Vim by integrating existing code formatters

    vim-autoformat is a universal “format this buffer” interface for Vim and Neovim that routes your file through the right external formatter with a single command. Instead of remembering dozens of tool names and CLI flags, you call one mapping and the plugin picks an appropriate backend based on filetype and configuration. It supports a wide range of formatters—such as Black, isort, yapf, Prettier, clang-format, gofmt, rustfmt, shfmt, and many more—while letting you override arguments per...
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  • 14
    Visual Blocks

    Visual Blocks

    Visual Blocks for ML is a Google visual programming framework

    Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive...
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  • 15
    Mangle

    Mangle

    Go library for Datalog-style logical reasoning and domain modeling

    Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern...
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  • 16
    Oboe

    Oboe

    Oboe is a C++ library that makes it easy to build high-performance

    oboe is a C++ library for building high-performance audio apps on Android, providing a unified, low-latency API over AAudio and OpenSL ES. It abstracts device and API-version differences so developers can focus on audio processing instead of platform quirks. The library emphasizes minimal latency and glitch-free playback/recording via tuned buffer strategies and callback-driven I/O. It supports features like floating-point audio, channel configuration, sample-rate negotiation, and stream...
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  • 17
    BTree implementation for Go

    BTree implementation for Go

    BTree provides a simple, ordered, in-memory data structure for Go

    This package is a high-performance, in-memory B-tree for Go that implements an ordered set/map with efficient insert, delete, and range iteration. It’s parameterized by tree degree so callers can tune cache behavior and memory overhead for their workload. Instead of relying on Go’s built-in maps—which are hash-based and unordered—btree preserves sorted order and provides rich traversal APIs like ascending, descending, and range scans. The implementation favors minimal allocations and...
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  • 18
    latexify

    latexify

    A library to generate LaTeX expression from Python code

    latexify_py converts small, math-heavy pieces of Python code into human-readable LaTeX that mirrors the intent of the computation, not just its surface syntax. It parses Python functions and expressions into an abstract syntax tree (AST), applies symbolic rewrites for common mathematical constructs, and then emits LaTeX that compiles cleanly in standard environments. Typical use cases include turning analytical utilities—like probability mass functions, activation formulas, or recurrence...
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  • 19
    pprof

    pprof

    pprof is a tool for visualization and analysis of profiling data

    pprof is a profiling visualization and analysis tool that ingests profiles in the profile.proto format and generates human-readable and graph-based reports. It supports multiple profile types (CPU, heap, allocations, contention, etc.) and can present data as text tables, call graphs (via Graphviz/dot), flame graphs, and interactive web UIs. The tool helps developers find hot paths, quantify resource usage, and compare profiles across runs to validate performance changes. It is widely used in...
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  • 20
    XcodeBuildMCP

    XcodeBuildMCP

    A Model Context Protocol (MCP) server

    XcodeBuildMCP is a Model Context Protocol server that exposes Xcode operations as typed tools and resources so AI assistants can build, test, and debug iOS apps programmatically. It’s organized with a modern plugin architecture and workflow-scoped tool directories, covering common developer actions across projects, schemes, targets, simulators, real devices, and Swift packages. The server aims to be “agent-ready,” surfacing capabilities (build, clean, test, archive, install, run, log...
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  • 21
    CodeLlama

    CodeLlama

    Inference code for CodeLlama models

    Code Llama is a family of Llama-based code models optimized for programming tasks such as code generation, completion, and repair, with variants specialized for base coding, Python, and instruction following. The repo documents the sizes and capabilities (e.g., 7B, 13B, 34B) and highlights features like infilling and large input context to support real IDE workflows. It targets both general software synthesis and language-specific productivity, offering strong performance among open models...
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  • 22
    VGGT

    VGGT

    [CVPR 2025 Best Paper Award] VGGT

    VGGT is a transformer-based framework aimed at unifying classic visual geometry tasks—such as depth estimation, camera pose recovery, point tracking, and correspondence—under a single model. Rather than training separate networks per task, it shares an encoder and leverages geometric heads/decoders to infer structure and motion from images or short clips. The design emphasizes consistent geometric reasoning: outputs from one head (e.g., correspondences or tracks) reinforce others (e.g., pose...
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  • 23
    GenAI Processors

    GenAI Processors

    GenAI Processors is a lightweight Python library

    GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which...
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  • 24
    Mistral Finetune

    Mistral Finetune

    Memory-efficient and performant finetuning of Mistral's models

    mistral-finetune is an official lightweight codebase designed for memory-efficient and performant finetuning of Mistral’s open models (e.g. 7B, instruct variants). It builds on techniques like LoRA (Low-Rank Adaptation) to allow customizing models without full parameter updates, which reduces GPU memory footprint and training cost. The repo includes utilities for data preprocessing (e.g. reformat_data.py), validation scripts, and example YAML configs for training variants like 7B base or...
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  • 25
    Smallpond

    Smallpond

    A lightweight data processing framework built on DuckDB and 3FS

    smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express...
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