Open Source Rust Software for Mac

NebiOS is Ubuntu-based secure, privacy-focused universal OS for daily life, creativity, gaming & more. Official mirror - use if main site has download issues. Main site: https://nebios.org ⚠️ DON'T DOWNLOAD FROM UNKNOWN SOURCES! 🛡️ Privacy: NebiOS has no telemetry, no background data services, no tracking daemons, and cannot send any personal data without user action. Full policy: nebisoftware.com/legal/privacy.html === 🚀 NebiOS X out now! ⚠️ Note on Virtual Machines: NebiOS X is optimized and designed for real hardware performance and native GPU acceleration. Virtualization platforms (VMware, VirtualBox, GNOME Boxes, etc.) may show degraded graphics or system performance. For accurate testing, please install NebiOS X on physical hardware. === System Requirements and informations about before installation can be found at https://nebios.org/download (select your version for it)

Comprehensive Rust is an open source training course developed by Google to provide a complete introduction to the Rust programming language. Originally created for Google engineers, it has since been released publicly for the broader developer community. The course is structured into modular lessons that cover the fundamentals of Rust, including ownership, lifetimes, traits, generics, and error handling, before progressing to advanced topics like concurrency, async programming, unsafe Rust, and FFI. It is designed to be taught in classroom settings but can also be followed independently, making it useful both for structured training and self-study. The materials are presented in a slide-based format with accompanying examples and hands-on exercises to reinforce key concepts. By offering an accessible yet thorough introduction, the course helps learners gain practical experience with Rust while building a strong understanding of its unique safety and performance guarantees.

The Rust语言圣经 (Rust Language Bible) is a comprehensive, Chinese-language Rust tutorial that aims to take learners from beginner concepts to advanced mastery. The course is carefully designed with a structured catalog, vivid and approachable language, and an engaging style that avoids the dry and mechanical tone of many technical books. It covers the basics of Rust, such as ownership, borrowing, lifetimes, traits, and generics, but also dives deep into advanced topics like performance optimization, linked list implementations, async programming with Tokio, standard library internals, Cargo usage, and WebAssembly development. The project emphasizes practical learning through exercises, helping users approach Rust study as if it were a university course. It also provides a "Cookbook" section of practical code snippets for common tasks such as file operations, regex handling, and database interactions, allowing learners to quickly reference solutions without searching externally.

This is an experimental Javascript lexer, parser and interpreter written in Rust. Currently, it has support for some of the language.

Codegroup is a Java application that will allow one to convert binary (or text) computer files in to 5 letter codegroups for transmission over email, landline telephones, radioteletype or Morse Code. Codegroup has internal error correction & limited cryptography capabilities. Codegroup : ZZZZZ YBPIL AIAIG FMOPP CPAAA DGNGP GPGPA ADNJN ELJKO ELIMO GEOHF KIFGP IFBCB PKCPI YJMHE PHBHP PPOBH NCOHD AKLLL AGHFP DEGEF LKELC EAIJI ABAGP AHPPO IHHPH OHPDF YNFPB ALEPO KMPKP Once this program has a graphical user interface, an Enigma like subsystem must be devised for data whitening. For content encryption, the use of Java's facilities is being considered as a long term option. This project's initial sourcecode is related to : http://www.fourmilab.ch/codegroup/ http://winmorse.com/ https://bitbucket.org/bgneal/cpp-enigma http://www.whence.com/minimodem/ For the User Interface http://www.oracle.com/technetwork/java/javafx/tools/

This project was created in order to support a new internet. One that is more open, free, and censorship-resistant in comparison to the old internet. An internet that eventually wouldn't need to rely on telecom towers, an outdated grid, or all these other "old school" forms of tech. We believe P2P compatibility is an important part of the future of the net. Grid Computing also plays a role in having a better means of transferring information in a speedy, more cost-efficient and reliable manner.

Relay is data-fetching turned declarative. Components declare their data dependencies, without worrying about how to fetch them. Relay guarantees that the data each component needs is fetched and available. This keeps components decoupled and promotes reuse. With Relay, components and their data dependencies can be quickly modified without modifying other parts of the system. That means you won't accidentally break other components as you refactor or make changes to your app. Relay's compiler aggregates and optimizes the data requirements for your entire app, so that they can be efficiently fetched in a single GraphQL request. Relay handles the heavy lifting to ensure the data declared by your components is fetched in the most efficient way. For example, by deduplicating identical fields, and precomputing information used at runtime, among other optimizations. Relay also supports executing GraphQL Mutations, optionally with optimistic updates, and updates to local data.

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Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new video frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.