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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 #15258 · 11/01/2025, 01:30 PM

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#python#blocknotejs#collaborative#django#documentation#g2g#government#knowledge#knowledge_base#mit#mit_license#opensource#reactjs#realtime_collaboration#self_hosted#wiki#yjs Docs is a collaborative online text editor that helps you and your team write, edit, and organize documents together in real time, even offline. It offers easy formatting, AI tools like summarizing and rephrasing, and secure sharing with controlled access. You can export documents in various formats and create structured knowledge with subpages. Docs is open source, easy to self-host, and used by public organizations, ensuring your data stays secure and private. This tool saves time, improves teamwork, and turns your notes into organized knowledge you can access anytime. It’s great for teams wanting efficient, secure, and collaborative document editing. https://github.com/suitenumerique/docs

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#python #blocknotejs #collaborative #django #documentation #g2g #government #knowledge #knowledge_base #mit #mit_license #opensource #reactjs #realtime_collaboration #self_hosted #wiki #yjs