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 15 260 suscriptores, ocupando la posición 13 381 en la categoría Educación y el puesto 25 928 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 15 260 suscriptores.
Según los últimos datos del 10 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 349, y en las últimas 24 horas de 6, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 0.88%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.60% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 134 visualizaciones. En el primer día suele acumular 92 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 11 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.
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Suscriptores
+624 horas
+767 días
+34930 días
Archivo de publicaciones
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🔥 Trending Repository: gh-aw
📝 Description: GitHub Agentic Workflows
🔗 Repository URL: https://github.com/github/gh-aw
🌐 Website: https://gh.io/gh-aw
📖 Readme: https://github.com/github/gh-aw#readme
📊 Statistics:
🌟 Stars: 609 stars
👀 Watchers: 4
🍴 Forks: 65 forks
💻 Programming Languages: Go - JavaScript - Shell
🏷️ Related Topics:
#ci #actions #copilot #codex #cai #github_actions #gh_extension #claude_code================================== 🧠 By: https://t.me/DataScienceM
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Still relying on slow, outdated earning hacks? What if I told you there’s a faster, legit way to get instant payouts—no scams, no waiting? The catch? You have to act before everyone else catches on… Ready to flip the script? Discover how inside LOOTS EARNING.
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🔥 Trending Repository: addons
📝 Description: ➕ Docker add-ons for Home Assistant
🔗 Repository URL: https://github.com/home-assistant/addons
🌐 Website: https://home-assistant.io/hassio/
📖 Readme: https://github.com/home-assistant/addons#readme
📊 Statistics:
🌟 Stars: 1.9K stars
👀 Watchers: 73
🍴 Forks: 1.8K forks
💻 Programming Languages: Shell - Dockerfile - Groovy - HTML - Python - C - CMake
🏷️ Related Topics:
#docker #iot #automation #home #hacktoberfest================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: monty
📝 Description: A minimal, secure Python interpreter written in Rust for use by AI
🔗 Repository URL: https://github.com/pydantic/monty
📖 Readme: https://github.com/pydantic/monty#readme
📊 Statistics:
🌟 Stars: 2.2K stars
👀 Watchers: 17
🍴 Forks: 55 forks
💻 Programming Languages: Rust - Python - TypeScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
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Here is a powerful 𝗜𝗡𝗧𝗘𝗥𝗩𝗜𝗘𝗪 𝗧𝗜𝗣 to help you land a job!
Most people who are skilled enough would be able to clear technical rounds with ease.
But when it comes to 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹/𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗳𝗶𝘁 rounds, some folks may falter and lose the potential offer.
Many companies schedule a behavioral round with a top-level manager in the organization to understand the culture fit (except for freshers).
One needs to clear this round to reach the salary negotiation round.
Here are some tips to clear such rounds:
1️⃣ Once the HR schedules the interview, try to find the LinkedIn profile of the interviewer using the name in their email ID.
2️⃣ Learn more about his/her past experiences and try to strike up a conversation on that during the interview.
3️⃣ This shows that you have done good research and also helps strike a personal connection.
4️⃣ Also, this is the round not just to evaluate if you're a fit for the company, but also to assess if the company is a right fit for you.
5️⃣ Hence, feel free to ask many questions about your role and company to get a clear understanding before taking the offer. This shows that you really care about the role you're getting into.
💡 𝗕𝗼𝗻𝘂𝘀 𝘁𝗶𝗽 - Be polite yet assertive in such interviews. It impresses a lot of senior folks.
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Repost from Python Courses & Resources
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
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Don’t wait for the perfect moment. Start today
Install that tool, pick that dataset, take that course. Every big goal begins with Day One 💪
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One day or Day one. You decide.
Data Science edition.
𝗢𝗻𝗲 𝗗𝗮𝘆 : I will learn SQL.
𝗗𝗮𝘆 𝗢𝗻𝗲: Download mySQL Workbench.
𝗢𝗻𝗲 𝗗𝗮𝘆: I will build my projects for my portfolio.
𝗗𝗮𝘆 𝗢𝗻𝗲: Look on Kaggle for a dataset to work on.
𝗢𝗻𝗲 𝗗𝗮𝘆: I will master statistics.
𝗗𝗮𝘆 𝗢𝗻𝗲: Start the free Khan Academy Statistics and Probability course.
𝗢𝗻𝗲 𝗗𝗮𝘆: I will learn to tell stories with data.
𝗗𝗮𝘆 𝗢𝗻𝗲: Install Tableau Public and create my first chart.
𝗢𝗻𝗲 𝗗𝗮𝘆: I will become a Data Scientist.
𝗗𝗮𝘆 𝗢𝗻𝗲: Update my resume and apply to some Data Science job postings.
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🔥 Trending Repository: gitbutler
📝 Description: The GitButler version control client, backed by Git, powered by Tauri/Rust/Svelte
🔗 Repository URL: https://github.com/gitbutlerapp/gitbutler
🌐 Website: https://gitbutler.com
📖 Readme: https://github.com/gitbutlerapp/gitbutler#readme
📊 Statistics:
🌟 Stars: 17.7K stars
👀 Watchers: 47
🍴 Forks: 768 forks
💻 Programming Languages: Rust - Svelte - TypeScript - Shell - CSS - JavaScript
🏷️ Related Topics:
#github #git #tauri================================== 🧠 By: https://t.me/DataScienceM
15 260
🔥 Trending Repository: awesome-claude-skills
📝 Description: A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
🔗 Repository URL: https://github.com/ComposioHQ/awesome-claude-skills
📖 Readme: https://github.com/ComposioHQ/awesome-claude-skills#readme
📊 Statistics:
🌟 Stars: 31.5K stars
👀 Watchers: 244
🍴 Forks: 3K forks
💻 Programming Languages: Python - JavaScript - Shell
🏷️ Related Topics:
#automation #skill #mcp #saas #cursor #codex #workflow_automation #ai_agents #claude #rube #gemini_cli #composio #antigravity #agent_skills #claude_code================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: escrcpy
📝 Description: 📱 Display and control your Android device graphically with scrcpy.
🔗 Repository URL: https://github.com/viarotel-org/escrcpy
🌐 Website: https://viarotel.eu.org/
📖 Readme: https://github.com/viarotel-org/escrcpy#readme
📊 Statistics:
🌟 Stars: 7.7K stars
👀 Watchers: 48
🍴 Forks: 563 forks
💻 Programming Languages: JavaScript - Vue - TypeScript - Roff - CSS - VBScript
🏷️ Related Topics:
#android #windows #macos #linux #screenshots #gui #recording #screensharing #mirroring #hacktoberfest #scrcpy #scrcpy_engine #gnirehtet #genymobile #scrcpy_gui #hacktoberfest2025 #hacktoberfest2026================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: MiniCPM-o
📝 Description: A Gemini 2.5 Flash Level MLLM for Vision, Speech, and Full-Duplex Multimodal Live Streaming on Your Phone
🔗 Repository URL: https://github.com/OpenBMB/MiniCPM-o
📖 Readme: https://github.com/OpenBMB/MiniCPM-o#readme
📊 Statistics:
🌟 Stars: 23.1K stars
👀 Watchers: 156
🍴 Forks: 1.8K forks
💻 Programming Languages: Python - Vue - JavaScript - Shell - Less - CSS
🏷️ Related Topics:
#multi_modal #minicpm #minicpm_v================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: heretic
📝 Description: Fully automatic censorship removal for language models
🔗 Repository URL: https://github.com/p-e-w/heretic
📖 Readme: https://github.com/p-e-w/heretic#readme
📊 Statistics:
🌟 Stars: 4.5K stars
👀 Watchers: 27
🍴 Forks: 441 forks
💻 Programming Languages: Python
🏷️ Related Topics:
#transformer #llm #abliteration================================== 🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: litebox
📝 Description: A security-focused library OS supporting kernel- and user-mode execution
🔗 Repository URL: https://github.com/microsoft/litebox
📖 Readme: https://github.com/microsoft/litebox#readme
📊 Statistics:
🌟 Stars: 914 stars
👀 Watchers: 11
🍴 Forks: 40 forks
💻 Programming Languages: Rust - C - JavaScript - CSS - Assembly - Python
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: shannon
📝 Description: Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark.
🔗 Repository URL: https://github.com/KeygraphHQ/shannon
🌐 Website: https://keygraph.io/
📖 Readme: https://github.com/KeygraphHQ/shannon#readme
📊 Statistics:
🌟 Stars: 7.9K stars
👀 Watchers: 63
🍴 Forks: 1.1K forks
💻 Programming Languages: TypeScript - JavaScript - Shell - Dockerfile
🏷️ Related Topics:
#security_audit #penetration_testing #pentesting #security_automation #security_tools================================== 🧠 By: https://t.me/DataScienceM
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If you’re prepping for a data science role, this guide has EVERYTHING you need. Check it out! 💡
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Data Science Interview Prep Guide
1️⃣ Core Data Science Concepts
• What is Data Science vs Data Analytics vs ML
• Descriptive, diagnostic, predictive, prescriptive analytics
• Structured vs unstructured data
• Data-driven decision making
• Business problem framing
2️⃣ Statistics Probability (Non-Negotiable)
• Mean, median, variance, standard deviation
• Probability distributions (normal, binomial, Poisson)
• Hypothesis testing p-values
• Confidence intervals
• Correlation vs causation
• Sampling bias
3️⃣ Data Cleaning EDA
• Handling missing values outliers
• Data normalization scaling
• Feature engineering
• Exploratory data analysis (EDA)
• Data leakage detection
• Data quality validation
4️⃣ Python SQL for Data Science
• Python (NumPy, Pandas)
• Data manipulation transformations
• Vectorization performance optimization
• SQL joins, CTEs, window functions
• Writing business-ready queries
5️⃣ Machine Learning Essentials
• Supervised vs unsupervised learning
• Regression vs classification
• Model selection baseline models
• Overfitting, underfitting
• Bias–variance tradeoff
• Hyperparameter tuning
6️⃣ Model Evaluation Metrics
• Accuracy, precision, recall, F1
• ROC AUC
• Confusion matrix
• RMSE, MAE, log loss
• Metrics for imbalanced data
• Linking ML metrics to business KPIs
7️⃣ Real-World Deployment Knowledge
• Feature stores
• Model deployment (batch vs real-time)
• Model monitoring drift
• Experiment tracking
• Data model versioning
• Model explainability (business-friendly)
8️⃣ Must-Have Projects
• Customer churn prediction
• Fraud detection
• Sales or demand forecasting
• Recommendation system
• End-to-end ML pipeline
• Business-focused case study
9️⃣ Common Interview Questions
• Walk me through an end-to-end DS project
• How do you choose evaluation metrics?
• How do you handle imbalanced data?
• How do you explain a model to leadership?
• How do you improve a failing model?
🔟 Pro Tips
✔️ Always connect answers to business impact
✔️ Explain why, not just how
✔️ Be clear about trade-offs
✔️ Discuss failures learnings
✔️ Show structured thinking
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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
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15 260
🔥 Trending Repository: data-engineer-handbook
📝 Description: This is a repo with links to everything you'd ever want to learn about data engineering
🔗 Repository URL: https://github.com/DataExpert-io/data-engineer-handbook
📖 Readme: https://github.com/DataExpert-io/data-engineer-handbook#readme
📊 Statistics:
🌟 Stars: 39.7K stars
👀 Watchers: 466
🍴 Forks: 7.6K forks
💻 Programming Languages: Jupyter Notebook - Python - Makefile - Dockerfile - Shell
🏷️ Related Topics:
#data #awesome #sql #bigdata #dataengineering #apachespark================================== 🧠 By: https://t.me/DataScienceM
15 260
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
