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 es un generador de aplicaciones de derechos de autor de software y herramienta de documentación diseñada para automatizar la creación de materiales de registro y manuales de operación. Analiza el código fuente del proyecto local para producir documentos formateados y extractos de código fuente requeridos para registros oficiales de derechos de autor de software. El proyecto sintetiza manuales de operación de software traduciendo la lógica de negocio y las características técnicas del proyecto en texto funcional descriptivo. Utiliza la generación basada en plantillas para inyectar datos extraídos del proyecto en documentos de Word estandarizados, facilitando la creación de materiales legales de solicitud y exportaciones de cumplimiento. El sistema proporciona capacidades para el análisis de proyectos locales, muestreo de páginas de código fuente y la compilación de datos de campo de la aplicación, como números de versión y detalles del entorno. Todo el procesamiento y la generación de documentos ocurren en el sistema de archivos local para garantizar la privacidad de los datos.

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