Search Results for "privacy"
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Showing 7 open source projects for "privacy"
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Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Cabin
Cabin is the best JavaScript and Node.js logging service and logging
Cabin is the best JavaScript and Node.js logging service and logging npm package. Cabin is a drop-in replacement and the best alternative to Sentry, Timber, Airbrake, Papertrail, Loggly, Bugsnag, etc. Cabin will automatically detect and mask the following list of extremely sensitive types of data in your logs. Reduce your disk storage costs through Cabin's automatic conversion of Streams, Buffers, and ArrayBuffers to simplified, descriptive-only objects that otherwise would be unreadable... -
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pH7 Social Dating CMS (pH7Builder)❤️
🚀 Professional Social Dating Web App Builder (formerly pH7CMS)
pH7Builder is a Professional, Free & Open Source PHP Social Dating Builder Software (primarily designed for developers ...). This Social Dating Web App is fully coded in object-oriented PHP (OOP) with the MVC pattern (Model-View-Controller). It is low resource-intensive, extremely powerful and highly secure. pH7Builder is included with over 42 native modules and is based on its homemade pH7 Framework which includes more than 52 packages To summarize, pH7Builder Social Dating Script... -
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Neiki's Cookie Banner
Lightweight, dependency-free cookie consent banner (GDPR/ePrivacy compliant) in vanilla JS. Fully customizable and accessible.
Neiki's Cookie Banner is a lightweight, drop-in cookie consent solution for any website that needs to comply with GDPR, ePrivacy, and similar privacy regulations — without dragging in a heavy third-party SDK or tying your site to a paid SaaS. It is built from the ground up in vanilla JavaScript with zero dependencies, so it works on any stack — from a static HTML page to a WordPress theme, Laravel app, Next.js site, or anything in between. Drop in one file and you have a fully functional, accessible, themeable consent banner in under a minute. -
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Polyglot Formatter
Multi-language code formatter with automatic language detection
...Designed for developers, it provides instant code cleanup and readability improvements without requiring a server, build process, or account. Everything runs locally in the browser for maximum privacy and convenience. The formatter supports mixed-language files, nested code blocks, configurable indentation, line wrapping, syntax highlighting, and post-format validation. With a modern editor interface, responsive design, and one-click clipboard integration, it is ideal for quickly cleaning up source code, debugging formatting issues, and improving code consistency across multiple languages. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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DemocracyEarth Wallet
Censorship resistant democracies
Decentralized human identity without sybils or bots. Built with Kleros and the Ethereum community. No servers or databases are used. Control your identity with any Ethereum wallet. Contribute to the success of UBI and Proof of Humanity by leveraging ETH. Keep ETH or DAI in our smart contract vaults and help burn UBI tokens using yield. Half the yield is used to buy UBI. UBI is then burned, reducing its supply. No biometrics or real names are required. Just a quick video that proves your... -
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CrypTen
A framework for Privacy Preserving Machine Learning
CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. ... -
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Open eSign allows software developers and technical parties in a company to create secure, online (web-based) forms and documents that follow a business process flow and enable legally recognized electronic signatures using digital signature technology.
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