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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 #14911 · 07/03/2025, 03:30 PM

#javascript#hacktoberfest#oas#open_source#openapi#openapi_specification#openapi3#openapi31#rest#rest_api#swagger#swagger_api#swagger_js#swagger_oss#swagger_ui Swagger UI is a tool that helps developers and users interact with APIs. It creates a visual interface from OpenAPI specifications, making it easy to understand and use APIs without needing to know the underlying code. This tool benefits users by providing clear documentation and allowing them to test API methods directly from the interface. It also supports collaboration and compliance with the latest OpenAPI standards, making it easier to develop and consume APIs efficiently[1][3][5]. https://github.com/swagger-api/swagger-ui