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7 Repos

Awesome GitHub RepositoriesLocal Data Processing Tools

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.

Awesome Local Data Processing Tools GitHub Repositories

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  • googlechromelabs/squooshAvatar von GoogleChromeLabs

    GoogleChromeLabs/squoosh

    24,771Auf GitHub ansehen↗

    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.

    TypeScript
    Auf GitHub ansehen↗24,771
  • google-ai-edge/galleryAvatar von google-ai-edge

    google-ai-edge/gallery

    15,162Auf GitHub ansehen↗

    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.

    Kotlin
    Auf GitHub ansehen↗15,162
  • apprenticeharper/dedrm_toolsAvatar von apprenticeharper

    apprenticeharper/DeDRM_tools

    15,104Auf GitHub ansehen↗

    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.

    Python
    Auf GitHub ansehen↗15,104
  • alam00000/bentopdfAvatar von alam00000

    alam00000/bentopdf

    11,550Auf GitHub ansehen↗

    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.

    JavaScriptadobe-acrobatdockerhacktoberfest
    Auf GitHub ansehen↗11,550
  • ryoppippi/ccusageAvatar von ryoppippi

    ryoppippi/ccusage

    10,826Auf GitHub ansehen↗

    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.

    TypeScript
    Auf GitHub ansehen↗10,826
  • fokkyp/softwarecopyright-skillAvatar von Fokkyp

    Fokkyp/SoftwareCopyright-Skill

    4,035Auf GitHub ansehen↗

    SoftwareCopyright-Skill ist ein Generator für Software-Copyright-Anträge und ein Dokumentationstool zur Automatisierung der Erstellung von Registrierungsunterlagen und Betriebshandbüchern. Es analysiert lokalen Quellcode, um formatierte Dokumente und Quellcode-Auszüge zu erstellen, die für offizielle Software-Copyright-Anmeldungen erforderlich sind. Das Projekt synthetisiert Software-Betriebshandbücher, indem es Geschäftslogik und technische Merkmale in beschreibende Funktionstexte übersetzt. Es nutzt template-basierte Generierung, um extrahierte Projektdaten in standardisierte Word-Dokumente einzufügen und so die Erstellung rechtlicher Antragsunterlagen und Compliance-Exporte zu erleichtern. Das System bietet Funktionen für die lokale Projektanalyse, das Sampling von Quellcode-Seiten und die Zusammenstellung von Antragsdaten wie Versionsnummern und Umgebungsdetails. Die gesamte Verarbeitung und Dokumentenerstellung erfolgt auf dem lokalen Dateisystem, um den Datenschutz zu gewährleisten.

    Processes all source code and document generation on the local machine to ensure data privacy.

    Python
    Auf GitHub ansehen↗4,035
  • journey-ad/gemini-watermark-removerAvatar von journey-ad

    journey-ad/gemini-watermark-remover

    2,841Auf GitHub ansehen↗

    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.

    JavaScript
    Auf GitHub ansehen↗2,841
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