Search Results for "privacy linux" - Page 2
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Showing 1002 open source projects for "privacy linux"
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Kohaku
Privacy-first tooling for the Ethereum ecosystem
Kohaku is an open-source initiative by the Ethereum Foundation aimed at bringing privacy-by-default tooling into the Ethereum ecosystem. It comprises an SDK of privacy primitives, a reference wallet implementation (browser extension), and a collaboration platform for existing wallet teams to adopt composable privacy building blocks. The project recognizes that privacy leaks in Ethereum go beyond just on-chain visibility — they include RPC endpoints exposing IPs, address reuse across dApps,... -
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Opacus
Training PyTorch models with differential privacy
Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the client, has little impact on training performance, and allows the client to online track the privacy budget expended at any given moment. Vectorized per-sample gradient computation that is 10x faster than micro batching. Supports most types of PyTorch models and can be used with minimal modification to the original neural network. Open source,... -
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BentoPDF
A Privacy First PDF Toolkit
BentoPDF is a self-hosted, open-source PDF toolkit that provides a suite of local PDF manipulation features for users who want full control over their documents without relying on cloud PDF services. It offers functionality to merge, split, compress, rotate, and convert PDFs through an easy-to-deploy container or local installation, making it ideal for individuals and teams that handle large volumes of PDF files regularly. Because it runs entirely on your own system or server, BentoPDF helps... -
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Mercury Browser
Privacy-focused web browser fork of Firefox
...It also includes usability patches that bring back features like the classic top bar and supports unsigned extensions for added flexibility. Mercury is tailored for users prioritizing speed and privacy and is available for both Linux and Windows. -
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Ollama
Run models like Kimi-K2.5, GLM-5, DeepSeek, gpt-oss, Gemma, Qwen etc.
Ollama is an open-source platform that enables developers to run large language models locally on their own machines. It simplifies working with modern AI models by providing a unified interface to download, manage, and interact with them. Users can run models like Llama, Gemma, Qwen, and others directly from the command line or through APIs. Ollama also integrates with popular developer tools and AI agents, allowing seamless workflows across coding environments and applications. It supports... -
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SearXNG
Free internet metasearch engine which aggregates
SearXNG is a free and open-source metasearch engine designed to aggregate results from multiple search engines while prioritizing user privacy and anonymity. Instead of maintaining its own index, it queries numerous external search providers and merges the results into a single interface, increasing coverage and diversity of information. One of its core principles is privacy, as it does not track users, store personal data, or create search profiles, making it a strong alternative to... -
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firo
The privacy-focused cryptocurrency
Firo is a privacy-focused cryptocurrency implementing zero-knowledge proofs to enable anonymous transactions while maintaining decentralization and auditability. Formerly known as Zcoin, Firo pioneered several innovations in privacy tech including the Lelantus protocol, which enables unlinkable and untraceable transactions without the need for trusted setup. It combines cutting-edge cryptographic research with user-friendly features, making it accessible to both everyday users and privacy... -
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Cap CAPTCHA
The privacy-first, self-hosted CAPTCHA for the modern web
Cap is a privacy-first, self-hosted CAPTCHA system designed as a modern alternative to traditional third-party verification services. It replaces invasive tracking-based CAPTCHA solutions with a lightweight approach based on proof-of-work and client-side instrumentation. The system can be deployed independently, giving developers full control over user data and verification processes. It integrates easily into web applications and focuses on maintaining usability while preventing automated... -
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Waterfox
Privacy browser built for users who value customization & control
Waterfox is a free, open-source web browser and fork of Mozilla Firefox that’s built for users who prioritize privacy, performance, and customizability while still maintaining compatibility with modern web standards and extensions. It began as a 64-bit-focused fork and has grown into a full-featured browser available on Windows, macOS, Linux, and Android, making it a versatile alternative to mainstream browsers. Waterfox removes or disables much of Firefox’s telemetry and unnecessary data collection by default, giving users greater control over what is shared with third parties while still supporting classic and modern add-ons. ... -
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Helium Browser
Private, fast, and honest web browser
Helium is a Chromium-based web browser designed to deliver privacy, speed, and simplicity by removing Google’s proprietary services, telemetry, and bloat. It’s built atop ungoogled-chromium, extending its philosophy with additional privacy features, design refinements, and user experience improvements aimed at transparency and control. Helium blocks ads and trackers by default through an integrated, unbiased uBlock Origin extension prepackaged as a native browser component. ... -
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Appfl
Advanced Privacy-Preserving Federated Learning framework
APPFL (Advanced Privacy-Preserving Federated Learning) is a Python framework enabling researchers to easily build and benchmark privacy-aware federated learning solutions. It supports flexible algorithm development, differential privacy, secure communications, and runs efficiently on HPC and multi-GPU setups. -
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cobalt
Video and media downloader: Best way to save what you love
Cobalt is an open-source media downloader and tool designed to provide a high-performance and privacy-focused alternative for interacting with online media content, particularly focused on downloading and processing media from various platforms. It emphasizes speed, reliability, and a clean user experience, allowing users to retrieve media without unnecessary tracking, ads, or intrusive elements commonly found in web-based tools. The project is built with performance in mind, leveraging... -
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FreeTube
An Open Source YouTube app for privacy
FreeTube is an open-source and cross-platform desktop YouTube client built with privacy and user control as its core goals. Instead of relying on the official YouTube API, FreeTube uses its own extractor or community-friendly alternatives to fetch video data, which lets users watch YouTube content without advertisements and prevents Google from tracking them through cookies or JavaScript while browsing or viewing videos. Subscriptions, playlists, viewing history, and other user data are... -
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Harper
Offline, privacy-first grammar checker
Harper is an offline, privacy-first English grammar checker written primarily in Rust. It analyzes writing locally, avoiding the latency and data exposure associated with cloud-only services. The engine is designed to lint documents in milliseconds while using a small memory footprint. It can run through WebAssembly in browsers and applications or through native command-line and language-server components. Official integrations support editors and tools including Visual Studio Code, Neovim,... -
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Kudu
Free Windows, Mac and Linux cleaner, scanner, and more
Kudu is a free, open source system maintenance and security application for Windows, macOS, and Linux. It removes temporary files, logs, browser caches, abandoned application data, and other unnecessary content to recover disk space. Its security tools include malware scanning, heuristic analysis, secure file deletion, and controls for Windows privacy settings. Users can analyze disk usage, manage startup programs, uninstall software, remove bloatware, clean stale drivers, and update multiple applications in bulk. ... -
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Tribler
Privacy enhanced BitTorrent client with P2P content discovery
Tribler is a decentralized, privacy-enhanced BitTorrent client developed by researchers at Delft University of Technology. It introduces built-in anonymity using a Tor-like onion routing network and integrates its own blockchain for economic incentives and trust management. Tribler supports standard torrenting features along with distributed search, self-contained channels, and peer reputation. Its goal is to provide a fully autonomous file-sharing network without relying on external... -
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Evercookie
Produces persistent, respawning "super" cookies in a browser
Evercookie is a JavaScript research project that demonstrates extremely persistent browser tracking methods. It stores identifying data across multiple browser storage mechanisms so the identifier can be recreated if only some storage locations are cleared. The project was originally useful for showing how difficult it could be for users to fully remove tracking data from older browser environments. It is now most valuable as a privacy and security education tool rather than a recommended... -
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OpenWPM
A web privacy measurement framework
OpenWPM is a web privacy measurement framework that makes it easy to collect data for privacy studies on a scale of thousands to millions of websites. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection. Check out the instrumentation section below for more details. OpenWPM is tested on Ubuntu 18.04 via TravisCI and is commonly used via the docker container that this repo builds, which is also based on Ubuntu. ... -
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OpenProject
OpenProject is the leading open source project management software
Open source project management software. Efficient classic, agile or hybrid project management in a secure environment. Take control of your data and stay secure. Take back your data ownership, we give you the power to protect your privacy in a secure environment and with highest standards in data security and privacy. OpenProject can be installed on-premises in your own infrastructure, having full control and 100% data ownership. You know where your data is stored and what happens to it,... -
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Iron Fish
A novel cryptocurrency focused on privacy and accessibility
Iron Fish is a privacy-first blockchain protocol that brings zero-knowledge proofs and encrypted transactions to a fully decentralized network. Its goal is to offer default, universal privacy for every user while remaining easy to use and scalable. Iron Fish uses zk-SNARKs to shield all transaction details and supports a novel PoS-like consensus called “Proof of Work with Delegation.” With its developer-friendly APIs and strong privacy guarantees, Iron Fish is designed to be the foundation... -
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Notesnook
A fully open source & end-to-end encrypted note taking alternative
Notesnook makes it impossible for anyone to spy on your notes. Unlike Evernote and other note taking apps, your data is private, not open for everyone to see. Ditch other note taking apps that don't care about your data privacy. With app lock and private notes vault, your personal diary & journal are always safe. Worried that your friend will read your private notes? Notesnook fixes that by having an app lock built-in. Use a pin or biometrics to protect your notes. Protect your online... -
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AyuGram Desktop
Desktop Telegram client with good customization and Ghost mode.
AyuGram Desktop is a powerful, open-source Telegram desktop client designed for users who want deeper control, privacy, and customization. Built as a fork of Telegram Desktop, it extends the core experience with advanced features while staying fast and familiar. AyuGram focuses heavily on privacy tools like ghost mode and anti-recall to give users more control over their messaging behavior. The app offers extensive UI and font customization, allowing users to tailor the interface to their personal style. ... -
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Synthetic Data Generator
SDG is a specialized framework
Synthetic Data Generator is an open-source framework designed to generate high-quality synthetic tabular datasets that replicate the statistical characteristics of real data while avoiding privacy risks. The platform enables developers and data scientists to create artificial datasets that preserve important relationships between variables without containing sensitive personal information. This makes the generated data suitable for tasks such as machine learning model training, testing... -
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Logseq
A privacy-first, open-source platform for knowledge management
Logseq is a privacy-first, open-source knowledge base that works on top of local plain-text Markdown and Org-mode files. Use it to write, organize and share your thoughts, keep your to-do list, and build your own digital garden. Logseq is a platform for knowledge management and collaboration. It focuses on privacy, longevity, and user control. The server will never store or analyze your private notes. Your data are plain text files and we currently support both Markdown and Emacs Org-mode... -
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Betterfox
Firefox user.js for optimal privacy and security
Betterfox is an opinionated configuration profile for Mozilla Firefox designed to improve everyday web browsing by making the browser faster, more private, and more secure without relying on external add-ons or third-party code. Rather than being a separate browser, it consists of a curated set of preference tweaks (user.js settings) that users apply to their Firefox profile to optimize performance and harden privacy settings. The project focuses on a minimal-impact, maximum-effect approach,...
