Open Source Rust Software Development Software

Tauri is an open-source framework for building lightweight and high-performance desktop and mobile applications using web technologies. It allows developers to create user interfaces with HTML, CSS, and JavaScript while using Rust for the backend logic. By leveraging the operating system’s native WebView instead of bundling a full browser, Tauri produces significantly smaller and more efficient application binaries. The framework supports multiple front-end frameworks such as React, Vue, Svelte, and others that compile to web technologies. Tauri provides a secure bridge between the frontend and the Rust backend, enabling native functionality while maintaining strong security practices. With cross-platform support, developers can build applications that run on Windows, macOS, Linux, Android, and iOS.

Easily and securely share files and directories from the command line through a safe, private and encrypted link using a single simple command. Files are shared using the Send service and may be up to 1GB. Others are able to download these files with this tool, or through their web browser. All files are always encrypted on the client, and secrets are never shared with the remote host. An optional password may be specified, and a default file lifetime of 1 (up to 20) download or 24 hours is enforced to ensure your stuff does not remain online forever. This provides a secure platform to share your files. History tracking your files for easy management, ability to use your own Send hosts. Inspect or delete shared files, accurate error reporting. Streaming encryption and uploading/downloading, very low memory footprint. Intended for use in scripts without interaction.

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.

Efficiently find items by matching weight. If your data is static, you can build the lookup structure (a complete binary tree) at compile time, by making it `const`. You can use any inferred numeric type for the weights. You can have any range for the lookup, by default `0.0 .. 1.0` for floats, and their respective whole spectrum for unsigned integers.