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Source channel @githubtrending · Post #15123 · Sep 6

#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft

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@githubtrending · Post #14837 · 06/18/2025, 12:00 PM

#go#caddy#frankenphp#go#php#sapi#worker FrankenPHP is a modern server for PHP applications. It makes your PHP apps faster and more efficient by using features like "worker mode," which helps keep some data in memory to process requests quickly. This is especially good for frameworks like Laravel and Symfony. FrankenPHP also supports automatic HTTPS, HTTP/2, and HTTP/3, making it secure and fast. It can be easily installed as a standalone binary or used with Docker, making it simple to set up and use. This helps users by speeding up their applications and reducing the need for many servers. https://github.com/php/frankenphp