Github Top Repositories

🔥 Trending Repository: open-swe 📝 Description: An Open-Source Asynchronous Coding Agent 🔗 Repository URL: https://github.com/langchain-ai/open-swe 📖 Readme: https://github.com/langchain-ai/open-swe#readme 📊 Statistics: 🌟 Stars: 👀 Watchers: 39 🍴 Forks: 776 💻 Programming Languages: Python - Dockerfile - Makefile 🏷️ Related Topics:

#agent #ai #openai #agents #llm #llms #anthropic #claudecode

================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: shadPS4 📝 Description: PlayStation 4 emulator for Windows, Linux and macOS written in C++ 🔗 Repository URL: https://github.com/shadps4-emu/shadPS4 🌐 Website: https://shadps4.net/ 📖 Readme: https://github.com/shadps4-emu/shadPS4#readme 📊 Statistics: 🌟 Stars: 👀 Watchers: 180 🍴 Forks: 2k 💻 Programming Languages: C++ - C - CMake - Assembly - GLSL - Python 🏷️ Related Topics:

#windows #macos #linux #emulator #cpp #vulkan #emulation #imgui #ps4 #cpp20 #playstation4 #sdl3

================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: newton 📝 Description: An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers. 🔗 Repository URL: https://github.com/newton-physics/newton 🌐 Website: https://newton-physics.github.io/newton/ 📖 Readme: https://github.com/newton-physics/newton#readme 📊 Statistics: 🌟 Stars: 2.7k 👀 Watchers: 35 🍴 Forks: 303 💻 Programming Languages: Python 🏷️ Related Topics:

#robotics #physics_simulation #nvidia_warp #newton_physics

================================== 🧠 By: https://t.me/DataScienceM

200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we completed in 6 days, let’s do this one even quicker! Join my free group Before closing 👇 https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

Leaked Checklist to Spot a True Baddie in Your Feed Step 1: Catch those 🔥 hot takes that nobody else is brave enough to drop. Step 2: Spot exclusive game secrets like “Hugo Ekitike’s out” before your squad knows. Step 3: Notice insane stats like “Gabriel Jesus never loses when he scores” and flex it. Step 4: React fast-because being chill ain’t for slackers. Join us now 👉 Baddies and level up your feed! #ad InsideAds

🔥 Trending Repository: workerd 📝 Description: The JavaScript / Wasm runtime that powers Cloudflare Workers 🔗 Repository URL: https://github.com/cloudflare/workerd 🌐 Website: https://blog.cloudflare.com/workerd-open-source-workers-runtime/ 📖 Readme: https://github.com/cloudflare/workerd#readme 📊 Statistics: 🌟 Stars: 7.6k 👀 Watchers: 62 🍴 Forks: 565 💻 Programming Languages: C++ - JavaScript - TypeScript - Starlark - Rust - Python 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: claude-hud 📝 Description: A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress 🔗 Repository URL: https://github.com/jarrodwatts/claude-hud 📖 Readme: https://github.com/jarrodwatts/claude-hud#readme 📊 Statistics: 🌟 Stars: 👀 Watchers: 10 🍴 Forks: 231 💻 Programming Languages: JavaScript - TypeScript 🏷️ Related Topics:

#plugin #cli #typescript #statusline #claude #anthropic #claude_code

================================== 🧠 By: https://t.me/DataScienceM

Build a Club. Win Cash. TRAIL by PartBuy Compete, dominate, get paid. Form your crew, win wars, and split $1,500 with your club. The most competitive game on Telegram. Ad. 18+

🔥 Trending Repository: claudian 📝 Description: An Obsidian plugin that embeds Claude Code as an AI collaborator in your vault 🔗 Repository URL: https://github.com/YishenTu/claudian 📖 Readme: https://github.com/YishenTu/claudian#readme 📊 Statistics: 🌟 Stars: 3.9k 👀 Watchers: 13 🍴 Forks: 233 💻 Programming Languages: TypeScript - CSS - JavaScript 🏷️ Related Topics:

#productivity #ide #obsidian #obsidian_plugin #claude_code

================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: deepagents 📝 Description: Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks. 🔗 Repository URL: https://github.com/langchain-ai/deepagents 🌐 Website: https://docs.langchain.com/deepagents 📖 Readme: https://github.com/langchain-ai/deepagents#readme 📊 Statistics: 🌟 Stars: 12.1k 👀 Watchers: 80 🍴 Forks: 1.9k 💻 Programming Languages: Python 🏷️ Related Topics:

#ai #langchain #langgraph #deepagents

================================== 🧠 By: https://t.me/DataScienceM

🚀 Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today! 🔰 Machine Learning with Python Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. https://t.me/CodeProgrammer 🔖 Machine Learning Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications. https://t.me/DataScienceM 🧠 Code With Python This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills. https://t.me/DataScience4 🎯 PyData Careers | Quiz Python Data Science jobs, interview tips, and career insights for aspiring professionals. https://t.me/DataScienceQ 💾 Kaggle Data Hub Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects. https://t.me/datasets1 🧑‍🎓 Udemy Coupons | Courses The first channel in Telegram that offers free Udemy coupons https://t.me/DataScienceC 😀 ML Research Hub Advancing research in Machine Learning – practical insights, tools, and techniques for researchers. https://t.me/DataScienceT 💬 Data Science Chat An active community group for discussing data challenges and networking with peers. https://t.me/DataScience9 🐍 Python Arab| بايثون عربي The largest Arabic-speaking group for Python developers to share knowledge and help. https://t.me/PythonArab 🖊 Data Science Jupyter Notebooks Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN 📺 Free Online Courses | Videos Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners. https://t.me/DataScienceV 📈 Data Analytics Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. https://t.me/DataAnalyticsX 🎧 Learn Python Hub Master Python with step-by-step courses – from basics to advanced projects and practical applications. https://t.me/Python53 ⭐️ Research Papers Professional Academic Writing & Simulation Services https://t.me/DataScienceY ━━━━━━━━━━━━━━━━━━ Admin: @HusseinSheikho

Build a Club. Win Cash. TRAIL by PartBuy Compete, dominate, get paid. Form your crew, win wars, and split $1,500 with your club. The most competitive game on Telegram. Ad. 18+

A real-time synthetic trading platform where users trade a rising price that can crash at any moment. #ad InsideAds

Top 10 Database Scaling Techniques You Should Know: 1. 𝐈𝐧𝐝𝐞𝐱𝐢𝐧𝐠: Create indexes on frequently queried columns to speed up data retrieval. 2. 𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠: Upgrade your database server by adding more CPU, RAM, or storage to handle increased load. 3.  𝐂𝐚𝐜𝐡𝐢𝐧𝐠: Store frequently accessed data in-memory (e.g., Redis,  Memcached) to reduce database load and improve response time. 4.  𝐒𝐡𝐚𝐫𝐝𝐢𝐧𝐠: Distribute data across multiple servers by splitting  the database into smaller, independent shards, allowing for horizontal  scaling and improved performance. 5. 𝐑𝐞𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧:  Create multiple copies (replicas) of the database across different  servers, enabling read queries to be distributed across replicas and  improving availability. 6. 𝐐𝐮𝐞𝐫𝐲 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧:  Fine-tune SQL queries, eliminate expensive operations, and leverage  indexes effectively to improve execution speed and reduce database load. 7.  𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧 𝐏𝐨𝐨𝐥𝐢𝐧𝐠: Reduce the overhead of  opening/closing database connections by reusing existing ones, improving  performance under heavy traffic. 8. 𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥  𝐏𝐚𝐫𝐭𝐢𝐭𝐢𝐨𝐧𝐢𝐧𝐠: Split large tables into smaller, more  manageable parts (partitions), each containing a subset of the  columns/features from the original table. 9.  𝐃𝐞𝐧𝐨𝐫𝐦𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Store data in a redundant but structured  format to minimize complex joins and speed up read-heavy workloads. 10.  𝐌𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐢𝐳𝐞𝐝 𝐕𝐢𝐞𝐰𝐬: Pre-compute and store results of  complex queries as separate tables to avoid expensive recalculation,  reducing database load and improving response times.

🔥 Trending Repository: vite-plus 📝 Description: Vite+ is the unified toolchain and entry point for web development. It manages your runtime, package manager, and frontend toolchain in one place. 🔗 Repository URL: https://github.com/voidzero-dev/vite-plus 🌐 Website: https://viteplus.dev 📖 Readme: https://github.com/voidzero-dev/vite-plus#readme 📊 Statistics: 🌟 Stars: 1.4k 👀 Watchers: 10 🍴 Forks: 43 💻 Programming Languages: Rust - TypeScript - JavaScript - Shell - PowerShell - Just 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: claude-code-best-practice 📝 Description: practice made claude perfect 🔗 Repository URL: https://github.com/shanraisshan/claude-code-best-practice 📖 Readme: https://github.com/shanraisshan/claude-code-best-practice#readme 📊 Statistics: 🌟 Stars: 👀 Watchers: 174 🍴 Forks: 1.5k 💻 Programming Languages: HTML - Python 🏷️ Related Topics:

#best_practices #claude_ai #vibe_coding #claude_code #agentic_engineering

================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: project-nomad 📝 Description: Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere. 🔗 Repository URL: https://github.com/Crosstalk-Solutions/project-nomad 📖 Readme: https://github.com/Crosstalk-Solutions/project-nomad#readme 📊 Statistics: 🌟 Stars: 659 👀 Watchers: 14 🍴 Forks: 84 💻 Programming Languages: TypeScript - Shell 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

What if everything you’ve heard about the Middle East is only half the story? Hidden forces, secret deals, and silent wars are reshaping the future-right now. But what’s really driving these shadows? Find out before it’s too late. Dive deeper into The Great Noticing. #ad InsideAds

Build a Club. Win Cash. TRAIL by PartBuy Compete, dominate, get paid. Form your crew, win wars, and split $1,500 with your club. The most competitive game on Telegram. Ad. 18+