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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 #15581 · 03/23/2026, 12:00 PM

#other#claude#clawdbot#cli#codex#defuddle#obsidian#openclaw#opencode#skills Obsidian Skills let AI agents like Claude Code or Codex create and edit Obsidian Markdown with wikilinks and callouts, Bases files with views and formulas, JSON Canvas diagrams, interact via Obsidian CLI, and clean web pages with Defuddle. Install easily via marketplace, npx, or manual copy to your vault folder—they work with any compatible agent. This saves you time by letting AI handle note editing, vault tasks, and content cleanup directly, boosting your productivity without manual work. https://github.com/kepano/obsidian-skills