7 个仓库
Utilities that ensure data privacy by processing files entirely on the client device.
Distinguishing note: Focuses on privacy-preserving local execution, distinct from server-side processing.
Explore 7 awesome GitHub repositories matching security & cryptography · Local Data Processing Tools. Refine with filters or upvote what's useful.
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
Processes image files entirely within the local browser environment to ensure user privacy and data security.
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
Ensures data privacy by performing all model inference and processing entirely on the local device hardware.
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
Processes and decrypts protected digital files entirely on the client device to maintain user privacy.
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
Ensures data privacy by performing all file manipulation tasks entirely on the client device.
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
Ensures data privacy by processing sensitive session logs and usage telemetry entirely on the local machine.
SoftwareCopyright-Skill 是一个软件著作权申请生成器和文档工具,旨在自动化创建注册材料和操作手册。它分析本地项目源代码,以生成官方软件著作权备案所需的格式化文档和源代码摘录。 该项目通过将项目业务逻辑和技术特性转换为描述性功能文本来合成软件操作手册。它利用基于模板的生成方式将提取的项目数据注入标准化的 Word 文档中,从而促进法律申请材料和合规性导出的创建。 该系统提供本地项目分析、源代码页面采样以及版本号和环境详情等申请字段数据的编译能力。所有处理和文档生成均在本地文件系统上进行,以确保数据隐私。
Processes all source code and document generation on the local machine to ensure data privacy.
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
Ensures data privacy by executing all restoration algorithms locally on the client device or within the browser.