Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Mostrar más📈 Análisis del canal de Telegram Github Top Repositories
El canal Github Top Repositories (@githubre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 15 243 suscriptores, ocupando la posición 13 393 en la categoría Educación y el puesto 26 040 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 15 243 suscriptores.
Según los últimos datos del 08 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 366, y en las últimas 24 horas de 0, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 0.89%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.62% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 136 visualizaciones. En el primer día suele acumular 94 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- Intereses temáticos: El contenido se centra en temas clave como repository, fork, programming, statistic, description.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 09 noviembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
15 243
Suscriptores
Sin datos24 horas
+737 días
+36630 días
Archivo de publicaciones
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🔥 Trending Repository: jq
📝 Description: Command-line JSON processor
🔗 Repository URL: https://github.com/jqlang/jq
🌐 Website: https://jqlang.org
📖 Readme: https://github.com/jqlang/jq#readme
📊 Statistics:
🌟 Stars: 34.1k
👀 Watchers: 344
🍴 Forks: 1.8k
💻 Programming Languages: C - M4 - Shell - Yacc - jq - C++
🏷️ Related Topics:
#jq================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: multica
📝 Description: The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.
🔗 Repository URL: https://github.com/multica-ai/multica
🌐 Website: https://multica.ai
📖 Readme: https://github.com/multica-ai/multica#readme
📊 Statistics:
🌟 Stars:
👀 Watchers: 13
🍴 Forks: 620
💻 Programming Languages: TypeScript - Go - MDX - CSS - Shell - Makefile
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: harbor
📝 Description: An open source trusted cloud native registry project that stores, signs, and scans content.
🔗 Repository URL: https://github.com/goharbor/harbor
🌐 Website: https://goharbor.io
📖 Readme: https://github.com/goharbor/harbor#readme
📊 Statistics:
🌟 Stars: 28k
👀 Watchers: 518
🍴 Forks: 5.2k
💻 Programming Languages: Go - TypeScript - HTML - Python - RobotFramework - Jinja
🏷️ Related Topics:
#docker #kubernetes #registry #containers #helm #container #cncf #container_management #cloud_native #hacktoberfest #container_registry #cncf_project================================== 🧠 By: https://t.me/DataScienceM
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🚀 Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning
Both code and weights are available under the MIT license on HuggingFace.
👉 Key details:
• Trained from scratch (not a finetune) on proprietary data and infrastructure
• Mixture-of-Experts (MoE) architecture
Models:
🧠 GigaChat-3.1 Ultra
• 702B MoE model for high-performance environments
• Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks
• Supports FP8 training and MTP
⚡️ GigaChat-3.1 Lightning
• 10B model (1.8B active parameters)
• Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks
• Efficient local inference
• Up to 256k context
Engineering highlights:
• Custom metric to detect and reduce generation loops
• DPO training moved to native FP8
• Improvements in post-training pipeline
• Identified and fixed a critical issue affecting evaluation quality
🌍 Trained on 14 languages (optimized for English and Russian)
Use cases:
• chatbots
• AI assistants
• copilots
• internal ML systems
Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.
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🔥 Trending Repository: DeepTutor
📝 Description: "DeepTutor: Agent-Native Personalized Learning Assistant"
🔗 Repository URL: https://github.com/HKUDS/DeepTutor
📖 Readme: https://github.com/HKUDS/DeepTutor#readme
📊 Statistics:
🌟 Stars: give us a star
👀 Watchers: 89
🍴 Forks: 1.6k
💻 Programming Languages: Python - TypeScript - JavaScript - Dockerfile - CSS - Shell - HTML
🏷️ Related Topics:
#interactive_learning #multi_agent_systems #ai_agents #cli_tool #rag #large_language_models #ai_tutor #deepresearch #clawdbot================================== 🧠 By: https://t.me/DataScienceM
15 250
🔥 Trending Repository: RedditVideoMakerBot
📝 Description: Create Reddit Videos with just✨ one command ✨
🔗 Repository URL: https://github.com/elebumm/RedditVideoMakerBot
📖 Readme: https://github.com/elebumm/RedditVideoMakerBot#readme
📊 Statistics:
🌟 Stars: 9.7k
👀 Watchers: 100
🍴 Forks: 2.5k
💻 Programming Languages: Python - HTML - Shell
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: andrej-karpathy-skills
📝 Description: No description available
🔗 Repository URL: https://github.com/forrestchang/andrej-karpathy-skills
📖 Readme: https://github.com/forrestchang/andrej-karpathy-skills#readme
📊 Statistics:
🌟 Stars: 7.7k
👀 Watchers: 71
🍴 Forks: 545
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
15 250
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🔥 Trending Repository: goose
📝 Description: an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
🔗 Repository URL: https://github.com/aaif-goose/goose
🌐 Website: https://goose-docs.ai/
📖 Readme: https://github.com/aaif-goose/goose#readme
📊 Statistics:
🌟 Stars: 38.2k
👀 Watchers: 199
🍴 Forks: 3.7k
💻 Programming Languages: Rust - TypeScript - Shell - JavaScript - Python - HTML
🏷️ Related Topics:
#ai #mcp #acp #ai_agents================================== 🧠 By: https://t.me/DataScienceM
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🚀 The Fastest-Growing GitHub Repositories of the Week
The week was characterized by significant developments in voice AI and autonomous agents.
1. https://github.com/microsoft/VibeVoice — An open-source voice AI solution enabling voice cloning and transcription of up to 60 minutes in a single pass.
2. https://github.com/bytedance/deer-flow — ByteDance's SuperAgent, capable of independently exploring, coding, and executing tasks.
3. https://github.com/NousResearch/hermes-agent — An autonomous agent featuring memory capabilities that evolve over time.
4. https://github.com/mvanhorn/last30days-skill — An agent designed to search for information across Reddit, X, YouTube, and Hacker News.
5. https://github.com/hacksider/Deep-Live-Cam — A real-time face-swapping tool based on a single reference image.
6. https://github.com/TauricResearch/TradingAgents — A multi-agent trading system leveraging large language models (LLMs).
7. https://github.com/hesreallyhim/awesome-claude-code — A curated collection of top skills and plugins for Claude Code.
8. https://github.com/google-research/timesfm — A foundation model for time series analysis offering zero-shot forecasting capabilities.
9. https://github.com/datalab-to/chandra — Optical Character Recognition (OCR) optimized for complex tables and handwritten text.
10. https://github.com/SakanaAI/AI-Scientist-v2 — A system for automating scientific discoveries through autonomous agents. 🤖
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🔥 Trending Repository: personaplex
📝 Description: PersonaPlex code.
🔗 Repository URL: https://github.com/NVIDIA/personaplex
📖 Readme: https://github.com/NVIDIA/personaplex#readme
📊 Statistics:
🌟 Stars: 7k
👀 Watchers: 83
🍴 Forks: 1k
💻 Programming Languages: Python - TypeScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
15 250
🔥 Trending Repository: ollama
📝 Description: Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
🔗 Repository URL: https://github.com/ollama/ollama
🌐 Website: https://ollama.com
📖 Readme: https://github.com/ollama/ollama#readme
📊 Statistics:
🌟 Stars: 167k
👀 Watchers: 924
🍴 Forks: 15.4k
💻 Programming Languages: Go - C - TypeScript - C++ - Objective-C - Shell
🏷️ Related Topics:
#go #golang #llama #glm #minimax #gemma #mistral #llm #llms #ollama #qwen #deepseek #llama3 #gemma3 #gpt_oss================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: qmd
📝 Description: mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
🔗 Repository URL: https://github.com/tobi/qmd
📖 Readme: https://github.com/tobi/qmd#readme
📊 Statistics:
🌟 Stars: 18.3k
👀 Watchers: 74
🍴 Forks: 1.1k
💻 Programming Languages: TypeScript - Python - Shell
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: LiteRT-LM
📝 Description: No description available
🔗 Repository URL: https://github.com/google-ai-edge/LiteRT-LM
📖 Readme: https://github.com/google-ai-edge/LiteRT-LM#readme
📊 Statistics:
🌟 Stars: 1.3k
👀 Watchers: 41
🍴 Forks: 171
💻 Programming Languages: C++ - CMake - Starlark - Rust - Python - Kotlin
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: gallery
📝 Description: A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
🔗 Repository URL: https://github.com/google-ai-edge/gallery
📖 Readme: https://github.com/google-ai-edge/gallery#readme
📊 Statistics:
🌟 Stars: 16.3k
👀 Watchers: 173
🍴 Forks: 1.5k
💻 Programming Languages: Kotlin - HTML
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
15 250
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15 250
Repost from Machine Learning with Python
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🔥 Trending Repository: tdesktop
📝 Description: Telegram Desktop messaging app
🔗 Repository URL: https://github.com/telegramdesktop/tdesktop
🌐 Website: https://desktop.telegram.org/
📖 Readme: https://github.com/telegramdesktop/tdesktop#readme
📊 Statistics:
🌟 Stars: 30.6k
👀 Watchers: 892
🍴 Forks: 6.5k
💻 Programming Languages: C++ - Objective-C++ - CMake - Python - CSS - Shell
🏷️ Related Topics:
#multi_platform #telegram #messenger #telegram_desktop #telegram_solution================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: mlx-vlm
📝 Description: MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
🔗 Repository URL: https://github.com/Blaizzy/mlx-vlm
📖 Readme: https://github.com/Blaizzy/mlx-vlm#readme
📊 Statistics:
🌟 Stars: 3.3k
👀 Watchers: 28
🍴 Forks: 369
💻 Programming Languages: Python
🏷️ Related Topics:
#mlx #vision_framework #apple_silicon #vision_transformer #llm #vision_language_model #llava #local_ai #idefics #florence2 #paligemma #pixtral #molmo================================== 🧠 By: https://t.me/DataScienceM
