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Welcome to GitHub repos. Here you'll find valuable information on the latest trending projects. Subscribe to stay informed and gain insights from the thriving GitHub community.

Ko'proq ko'rsatish

📈 Telegram kanali GitHub repos analitikasi

GitHub repos (@github_repos) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 26 440 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 5 169-o'rinni va Hindiston mintaqasida 16 531-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 26 440 obunachiga ega bo‘ldi.

13 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 238 ga, so‘nggi 24 soatda esa 12 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 4.90% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.52% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 296 marta ko‘riladi; birinchi sutkada odatda 666 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent fork, typescript, claude, arbitrage, cli kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Welcome to GitHub repos. Here you'll find valuable information on the latest trending projects. Subscribe to stay informed and gain insights from the thriving GitHub community.

Yuqori yangilanish chastotasi (oxirgi ma’lumot 14 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

26 440
Obunachilar
+1224 soatlar
+237 kunlar
+23830 kunlar
Postlar arxiv
gingerBill/titania Titania Programming Language Language: Odin Stars: 316 Issues: 1 Forks: 12 https://github.com/gingerBill/titania

tekaratzas/RustGPT An transformer based LLM. Written completely in Rust Language: Rust Stars: 1352 Issues: 2 Forks: 88 https://github.com/tekaratzas/RustGPT

NJU-3DV/SpatialVID official repository for SpatialVID Language: Python Stars: 229 Issues: 2 Forks: 5 https://github.com/NJU-3DV/SpatialVID

WooooDyy/AgentGym-RL Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al. Language: Python #agent #llm #llm_based_agent #scaling Stars: 255 Issues: 4 Forks: 21 https://github.com/WooooDyy/AgentGym-RL

JHDev2006/Super-Mario-Bros.-Remastered-Public Language: GDScript Stars: 379 Issues: 109 Forks: 49 https://github.com/JHDev2006/Super-Mario-Bros.-Remastered-Public

SaltyAom/elden-github Elden Ring experience for GitHub Language: TypeScript Stars: 393 Issues: 4 Forks: 10 https://github.com/SaltyAom/elden-github

ScriptedAlchemy/devtools-debugger-mcp An MCP server exposing full Chrome DevTools Protocol debugging: breakpoints, step/run, call stacks, eval, and source maps. Language: JavaScript Stars: 243 Issues: 1 Forks: 11 https://github.com/ScriptedAlchemy/devtools-debugger-mcp

indragiek/uniprof Universal CPU profiler designed for humans and AI agents Language: TypeScript #performance #performance_optimization #profiler #profiling Stars: 245 Issues: 1 Forks: 4 https://github.com/indragiek/uniprof

Phantom-video/HuMo HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning Language: Python Stars: 253 Issues: 6 Forks: 19 https://github.com/Phantom-video/HuMo

Tencent-Hunyuan/SRPO Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference Language: Python Stars: 445 Issues: 1 Forks: 10 https://github.com/Tencent-Hunyuan/SRPO

ntdevlabs/nano11 Script to build possibly the most trimmed-down Windows 11 experience. Language: PowerShell Stars: 224 Issues: 4 Forks: 12 https://github.com/ntdevlabs/nano11

iannuttall/fartscroll-lid A hilarious macOS app that plays fart sounds as you open and close your MacBook lid Language: Objective-C Stars: 262 Issues: 0 Forks: 9 https://github.com/iannuttall/fartscroll-lid

plutov/oq Terminal OpenAPI Spec viewer Language: Go Stars: 311 Issues: 7 Forks: 2 https://github.com/plutov/oq

luis22d/ZeroTrace-Stealer-13-2026 ZeroTrace Is Designed To Steal Data/Information Alot Of Stuff From Client And Send To Server. Language: C# #crypter #crypter_fud #fud_crypter #fud_stealer #panel_stealer #stealer #stealer_files #stealer_fud #stealer_panel #stealing Stars: 390 Issues: 0 Forks: 283 https://github.com/luis22d/ZeroTrace-Stealer-13-2026

Kudaes/MFTool Direct access to NTFS volumes Language: Rust Stars: 198 Issues: 0 Forks: 20 https://github.com/Kudaes/MFTool

oxbshw/LLM-Agents-Ecosystem-Handbook One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools. Language: Python #ai #ai_agent #ai_agents #fine_tuning #finetuning_llms #freamework #llm #llmops #local_development #mcp_server #memory #rag #rag_chatbot #voice_agent Stars: 198 Issues: 0 Forks: 29 https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook

Alpha-VLLM/Lumina-DiMOO Lumina-DiMOO - An Open-Sourced Multi-Modal Large Diffusion Language Model Language: Python #diffusion_large_language_model #discrete_diffusion_models #unified_multimodal_understanding_and_generation Stars: 221 Issues: 1 Forks: 6 https://github.com/Alpha-VLLM/Lumina-DiMOO

midday-ai/ai-sdk-devtools Language: TypeScript Stars: 235 Issues: 1 Forks: 12 https://github.com/midday-ai/ai-sdk-devtools

cozythrill/Gift-buyer-tg A bot that scans for available telegram gifts and buys them based on given criteria. Language: Python #gift_buyer #gift_sniper #gifts_parser #telegram_gift_buyer #telegramgifts Stars: 198 Issues: 0 Forks: 60 https://github.com/cozythrill/Gift-buyer-tg

thinking-machines-lab/batch_invariant_ops Language: Python Stars: 250 Issues: 1 Forks: 7 https://github.com/thinking-machines-lab/batch_invariant_ops