Awesome GitHub RepositoriesLocal Data Processing Tools

Squoosh is a browser-based image optimizer that compresses and converts image files directly within the local environment. By performing all operations on the user device, it eliminates the need for server-side processing, ensuring that sensitive data remains private and reducing network latency. The tool utilizes a collection of high-performance image codecs compiled via WebAssembly to provide professional-grade file optimization and format conversion. To maintain interface responsiveness during resource-intensive tasks, the application offloads image manipulation to background threads and u

This project is a development framework for building edge-based AI agents that perform multimodal inference and system-level automation directly on mobile devices. By prioritizing local-first execution, the platform ensures data privacy and offline functionality, allowing developers to run large language models on hardware without requiring external server connectivity. The framework distinguishes itself through an integrated orchestration layer that connects language models to custom tools, scripts, and native device intents. It provides a structured registry for mapping natural language ins

DeDRM_tools is a software suite designed to automate the removal of digital rights management from personal e-book files. By stripping restrictive encryption layers during the import process, the utility enables users to manage their digital libraries and convert protected files into open formats for use across various reading devices. The system operates through a modular architecture that utilizes plugin-based event interception to hook into host applications. It performs cryptographic key extraction by scanning local configuration files and memory, applying algorithm-specific decryption to

BentoPDF is a browser-based document toolkit designed for local-first PDF manipulation, conversion, and metadata management. By executing all file processing tasks directly within the browser sandbox, the application ensures that sensitive data remains on the user's device and is never uploaded to or stored on external servers. The platform distinguishes itself through a modular architecture that supports dynamic remote script loading and the integration of external processing engines. Users can extend the core functionality by connecting third-party libraries, which are executed as compiled

This project is a command-line utility designed to monitor and analyze token consumption and financial expenditure for AI coding assistants. By parsing local session logs directly on the user's machine, it provides a privacy-focused way to track development activity without transmitting sensitive data to external servers. The tool distinguishes itself through its ability to aggregate disparate log formats from multiple coding assistants into a unified, schema-agnostic representation. It features a decoupled pricing engine that allows users to apply custom model-specific cost multipliers, over

SoftwareCopyright-Skill est un générateur d'applications de droit d'auteur logiciel et un outil de documentation conçu pour automatiser la création de documents d'enregistrement et de manuels d'utilisation. Il analyse le code source du projet local pour produire les documents formatés et les extraits de code source requis pour les dépôts officiels de droits d'auteur logiciels. Le projet synthétise les manuels d'utilisation en traduisant la logique métier et les fonctionnalités techniques du projet en un texte fonctionnel descriptif. Il utilise une génération basée sur des modèles pour injecter les données extraites du projet dans des documents Word standardisés, facilitant ainsi la création de dossiers de demande légaux et d'exports de conformité. Le système offre des capacités d'analyse de projet local, d'échantillonnage de pages de code source et de compilation de données de champ d'application telles que les numéros de version et les détails de l'environnement. Tout le traitement et la génération de documents se font sur le système de fichiers local pour garantir la confidentialité des données.

This project is an AI watermark removal tool designed to restore pixels hidden by logos and masks in images and videos. It utilizes reverse alpha blending to eliminate watermarks and recover original media content. The tool operates as a local media processor, executing all restoration algorithms on the client device or within the browser to prevent files from being uploaded to remote servers. It further functions as a browser media interceptor via extensions and userscripts to automatically replace watermarked previews and downloads with cleaned versions. Capabilities include bulk media pro