Github Top Repositories

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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

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📈 Telegram 频道 Github Top Repositories 的分析概览

频道 Github Top Repositories (@githubre) 英语语言赛道中的是活跃参与者。目前社区聚集了 13 301 名订阅者，在教育类别中位列第 15 322，并在印度地区排名第 32 330 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 13 301 名订阅者。

根据 12 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 393，过去 24 小时变化为 17，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 1.11%。内容发布后 24 小时内通常能获得 0.75% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 148 次浏览，首日通常累积 100 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 1。
主题关注点： 内容集中在 repository, fork, programming, statistic, description 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.”

凭借高频更新（最新数据采集于 13 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为教育类别中的关键影响点。

13 301

订阅者

+1724 小时

+827 天

+39330 天

148

帖子浏览量

~ 10024 小时

~ 11348 小时

1.11%

参与率

~ 40

每日帖子数

Ads index

beta

帖子存档

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🔥 Trending Repository: LightRAG 📝 Description: [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation" 🔗 Repository URL: https://github.com/HKUDS/LightRAG 🌐 Website: https://arxiv.org/abs/2410.05779 📖 Readme: https://github.com/HKUDS/LightRAG#readme 📊 Statistics: 🌟 Stars: 22.6K stars 👀 Watchers: 162 🍴 Forks: 3.4K forks 💻 Programming Languages: Python - TypeScript - Shell - JavaScript - CSS - Dockerfile 🏷️ Related Topics:

#knowledge_graph #gpt #rag #gpt_4 #large_language_models #llm #genai #retrieval_augmented_generation #graphrag

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

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🔥 Trending Repository: traefik 📝 Description: The Cloud Native Application Proxy 🔗 Repository URL: https://github.com/traefik/traefik 🌐 Website: https://traefik.io 📖 Readme: https://github.com/traefik/traefik#readme 📊 Statistics: 🌟 Stars: 57.7K stars 👀 Watchers: 666 🍴 Forks: 5.5K forks 💻 Programming Languages: Go - TypeScript - JavaScript - Shell - Makefile - HTML 🏷️ Related Topics:

#go #letsencrypt #docker #kubernetes #golang #microservice #consul #load_balancer #zookeeper #marathon #etcd #mesos #reverse_proxy #traefik

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

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• Error Handling: Always wrap dispatch logic in try-except blocks to gracefully handle network issues, authentication failures, or incorrect receiver addresses. • Security: Never hardcode credentials directly in scripts. Use environment variables (os.environ.get()) or a secure configuration management system. Ensure starttls() is called for encrypted communication. • Rate Limits: SMTP servers impose limits on the number of messages one can send per hour or day. Implement pauses (time.sleep()) between dispatches to respect these limits and avoid being flagged as a spammer. • Opt-Outs: For promotional dispatches, ensure compliance with regulations (like GDPR, CAN-SPAM) by including clear unsubscribe options. Concluding Thoughts Automating electronic message dispatch empowers users to scale their communication efforts with remarkable efficiency. By leveraging Python's native capabilities, anyone can construct a powerful, flexible system for broadcasting anything from routine updates to extensive promotional campaigns. The journey into programmatic dispatch unveils a world of streamlined operations and enhanced communicative reach. #python #automation #email #smtplib #emailautomation #programming #scripting #communication #developer #efficiency ━━━━━━━━━━━━━━━ By: @DataScienceN ✨

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from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders
import os
import smtplib

# Reusing sender details from above

def send_rich_message_with_attachment(recipient_address, subject_line, html_body, file_path=None):
    try:
        msg = MIMEMultipart()
        msg["From"] = sender_email
        msg["To"] = recipient_address
        msg["Subject"] = subject_line

        # Attach HTML body
        msg.attach(MIMEText(html_body, "html"))

        # Attach a file if provided
        if file_path:
            with open(file_path, "rb") as attachment:
                part = MIMEBase("application", "octet-stream")
                part.set_payload(attachment.read())
            encoders.encode_base64(part)
            part.add_header(
                "Content-Disposition",
                f"attachment; filename= {os.path.basename(file_path)}",
            )
            msg.attach(part)

        with smtplib.SMTP(smtp_server, smtp_port) as server:
            server.starttls()
            server.login(sender_email, sender_password)
            server.send_message(msg)
        print(f"Rich message successfully sent to {recipient_address}")
    except Exception as e:
        print(f"Error dispatching rich message to {recipient_address}: {e}")

# Usage example
# html_content = """
# <html>
#   <body>
#     <p>Hi there,</p>
#     <p>This is an <b>HTML-formatted</b> message dispatched via Python!</p>
#     <p>Best regards,<br>The Dispatch System</p>
#   </body>
# </html>
# """
# # Create a dummy file for testing attachment
# # with open("report.txt", "w") as f:
# #     f.write("This is a test report content.")
# # send_rich_message_with_attachment("receiver@example.com", "Your Custom HTML Dispatch with Attachment", html_content, "report.txt")

This expanded example demonstrates how to build a message containing both rich text and an arbitrary file attachment, providing much greater flexibility for communication. Handling Multiple Receivers and Personalization For broadcasting to many individuals, integrate a loop that reads receiver information from a source. Each iteration can dispatch a unique, personalized message.

import csv
import time # For rate limiting

def send_bulk_messages(recipient_data_file, subject_template, body_template):
    with open(recipient_data_file, mode='r', newline='') as file:
        reader = csv.DictReader(file)
        for row in reader:
            recipient_address = row["email"]
            name = row.get("name", "Recipient") # Default if 'name' not in CSV

            # Personalize subject and body
            personalized_subject = subject_template.format(name=name)
            personalized_body = body_template.format(name=name)

            send_plain_text_message(recipient_address, personalized_subject, personalized_body)
            time.sleep(2) # Pause to avoid hitting server rate limits

# Usage Example:
# Create a CSV file named 'recipients.csv'
# email,name
# alice@example.com,Alice
# bob@example.com,Bob
# charlie@example.com,Charlie

# subject = "Hello, {name} from Our System!"
# body = "Dear {name},\n\nWe hope this message finds you well. This is a personalized update.\n\nRegards,\nTeam Automation"
# send_bulk_messages("recipients.csv", subject, body)

This structure allows for highly targeted and personalized mass communications, where each individual receives content tailored with their specific details. Considerations for Robustness and Security

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🐍 Email Sending Automation Streamlining the dispatch of digital correspondence has become an indispensable practice in today's interconnected landscape. This guide illuminates the path to programmatic dispatch, making it accessible for anyone frequently engaged in broadcasting information or marketing dispatches to a diverse audience. The Foundation: Why Automate? The manual dispatch of electronic messages, especially when targeting a large number of recipients, is tedious, error-prone, and inefficient. Programmatic dispatch transforms this chore into a swift, repeatable operation. It ensures consistency, saves valuable time, and allows for personalized communications at scale, turning a daunting task into a manageable workflow. Essential Components for Dispatch At its core, dispatching electronic messages programmatically involves a few key elements: • SMTP Server: The Simple Mail Transfer Protocol (SMTP) server is the digital post office responsible for sending out messages. Services like Gmail, Outlook, and others provide SMTP access. • Authentication: To use an SMTP server, one typically needs a sender's address and a corresponding password or app-specific password for secure access. • Libraries: Python offers robust built-in modules, primarily smtplib for handling the server communication and email for constructing complex message structures. • Recipient Data: A structured collection of receiver addresses, often from a file (like a CSV) or a database, is crucial for bulk dispatch. • Message Content: This includes the subject line, the body of the message (plain text or formatted HTML), and any attachments. Basic Text Dispatch Let's begin with a simple example of dispatching a plain text message.

import smtplib
from email.mime.text import MIMEText
import os

# Configuration details (use environment variables for security)
sender_email = os.environ.get("SENDER_EMAIL")
sender_password = os.environ.get("SENDER_PASSWORD")
smtp_server = "smtp.gmail.com" # Example for Gmail
smtp_port = 587 # TLS port

def send_plain_text_message(recipient_address, subject_line, message_body):
    try:
        # Create a new message object
        msg = MIMEText(message_body)
        msg["Subject"] = subject_line
        msg["From"] = sender_email
        msg["To"] = recipient_address

        # Establish a secure connection to the SMTP server
        with smtplib.SMTP(smtp_server, smtp_port) as server:
            server.starttls() # Enable Transport Layer Security
            server.login(sender_email, sender_password)
            server.send_message(msg)
        print(f"Message successfully sent to {recipient_address}")
    except Exception as e:
        print(f"Error dispatching to {recipient_address}: {e}")

# Usage example
# Set these as environment variables before running:
# export SENDER_EMAIL="your_email@example.com"
# export SENDER_PASSWORD="your_app_password" 
# (For Gmail, generate an app password from Google Account security settings)
# send_plain_text_message("receiver@example.com", "Hello from Python!", "This is a test message from our dispatch script.")

This fundamental script connects, authenticates, composes, and sends a simple text-based communication. Rich Content and Attachments For more sophisticated communications, such as those with styling, images, or attached files, the email.mime submodules are essential. We use MIMEMultipart to create a container for different parts of the message.

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🔥 Trending Repository: email-verification-protocol 📝 Description: verified autofill 🔗 Repository URL: https://github.com/WICG/email-verification-protocol 📖 Readme: https://github.com/WICG/email-verification-protocol#readme 📊 Statistics: 🌟 Stars: 239 stars 👀 Watchers: 9 🍴 Forks: 12 forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: adk-web 📝 Description: Agent Development Kit Web (adk web) is the built-in developer UI that is integrated with Agent Development Kit for easier agent development and debugging. 🔗 Repository URL: https://github.com/google/adk-web 🌐 Website: https://google.github.io/adk-docs/ 📖 Readme: https://github.com/google/adk-web#readme 📊 Statistics: 🌟 Stars: 414 stars 👀 Watchers: 11 🍴 Forks: 140 forks 💻 Programming Languages: TypeScript - SCSS - HTML - JavaScript 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

13 307

🔥 Trending Repository: PythonRobotics 📝 Description: Python sample codes and textbook for robotics algorithms. 🔗 Repository URL: https://github.com/AtsushiSakai/PythonRobotics 🌐 Website: https://atsushisakai.github.io/PythonRobotics/ 📖 Readme: https://github.com/AtsushiSakai/PythonRobotics#readme 📊 Statistics: 🌟 Stars: 26.3K stars 👀 Watchers: 509 🍴 Forks: 7K forks 💻 Programming Languages: Python 🏷️ Related Topics:

#python #algorithm #control #robot #localization #robotics #mapping #animation #path_planning #slam #autonomous_driving #autonomous_vehicles #ekf #hacktoberfest #cvxpy #autonomous_navigation

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

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🔥 Trending Repository: adk-docs 📝 Description: An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. 🔗 Repository URL: https://github.com/google/adk-docs 🌐 Website: https://google.github.io/adk-docs/ 📖 Readme: https://github.com/google/adk-docs#readme 📊 Statistics: 🌟 Stars: 643 stars 👀 Watchers: 19 🍴 Forks: 546 forks 💻 Programming Languages: HTML - Go 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: LEANN 📝 Description: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. 🔗 Repository URL: https://github.com/yichuan-w/LEANN 📖 Readme: https://github.com/yichuan-w/LEANN#readme 📊 Statistics: 🌟 Stars: 3.9K stars 👀 Watchers: 34 🍴 Forks: 403 forks 💻 Programming Languages: Python 🏷️ Related Topics:

#python #privacy #ai #offline_first #localstorage #vectors #faiss #rag #vector_search #vector_database #llm #langchain #llama_index #retrieval_augmented_generation #ollama #gpt_oss

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

13 307

🔥 Trending Repository: serverless-dns 📝 Description: The RethinkDNS resolver that deploys to Cloudflare Workers, Deno Deploy, Fastly, and Fly.io 🔗 Repository URL: https://github.com/serverless-dns/serverless-dns 🌐 Website: https://rethinkdns.com/configure 📖 Readme: https://github.com/serverless-dns/serverless-dns#readme 📊 Statistics: 🌟 Stars: 2.8K stars 👀 Watchers: 15 🍴 Forks: 2.1K forks 💻 Programming Languages: JavaScript - TypeScript - Shell - Dockerfile 🏷️ Related Topics:

#nodejs #serverless #workers #cloudflare #adblock #fastly #dns_over_https #doh #pihole #flyio #dns_over_tls #deno #cloudflare_workers #fastly_compute_at_edge

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

13 307

🔥 Trending Repository: TrendRadar 📝 Description: 🎯 告别信息过载，AI 助你看懂新闻资讯热点，简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台（抖音、知乎、B站、华尔街见闻、财联社等），智能筛选+自动推送+AI对话分析（用自然语言深度挖掘新闻：趋势追踪、情感分析、相似检索等13种工具）。支持企业微信/飞书/钉钉/Telegram/邮件/ntfy推送，30秒网页部署，1分钟手机通知，无需编程。支持Docker部署⭐ 让算法为你服务，用AI理解热点 🔗 Repository URL: https://github.com/sansan0/TrendRadar 🌐 Website: https://github.com/sansan0 📖 Readme: https://github.com/sansan0/TrendRadar#readme 📊 Statistics: 🌟 Stars: 6K stars 👀 Watchers: 21 🍴 Forks: 4.5K forks 💻 Programming Languages: Python - HTML - Batchfile - Shell - Dockerfile 🏷️ Related Topics:

#python #docker #mail #news #telegram_bot #mcp #data_analysis #trending_topics #wechat_robot #dingtalk_robot #ntfy #hot_news #feishu_robot #mcp_server

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

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“I watched my balance drop to zero… and then ‘Lucifer’ made it explode in just 2 trades.” You still trust luck? Discover the secret traders are buzzing about right here — one move could change everything. #ad InsideAds

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Ever wondered how traders catch those explosive GOLD moves before anyone else? Unlock real-time XAUUSD signals, results, and strategies that actually deliver—50 pips in profit moments after entry. Don’t miss your chance to stay ahead of the market—see what everyone’s talking about and start trading smarter today! #ad InsideAds

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🔥 Trending Repository: dots-hyprland 📝 Description: uhh questioning the meaning of dotfiles 🔗 Repository URL: https://github.com/end-4/dots-hyprland 🌐 Website: https://ii.clsty.link 📖 Readme: https://github.com/end-4/dots-hyprland#readme 📊 Statistics: 🌟 Stars: 10.3K stars 👀 Watchers: 48 🍴 Forks: 821 forks 💻 Programming Languages: QML - Shell - Python - JavaScript - Emacs Lisp - Nix 🏷️ Related Topics:

#linux #dotfiles #material_design #rice #wayland #ricing #unixporn #hyprland #quickshell

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

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🔥 Trending Repository: opencloud 📝 Description: 🌤️This is the main repository of the OpenCloud server. It contains the golang codebase for the backend services. 🔗 Repository URL: https://github.com/opencloud-eu/opencloud 🌐 Website: https://opencloud.eu 📖 Readme: https://github.com/opencloud-eu/opencloud#readme 📊 Statistics: 🌟 Stars: 3.3K stars 👀 Watchers: 17 🍴 Forks: 109 forks 💻 Programming Languages: Go - Gherkin - PHP - JavaScript - Starlark - Makefile 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: call-center-ai 📝 Description: Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number! 🔗 Repository URL: https://github.com/microsoft/call-center-ai 📖 Readme: https://github.com/microsoft/call-center-ai#readme 📊 Statistics: 🌟 Stars: 1.4K stars 👀 Watchers: 20 🍴 Forks: 265 forks 💻 Programming Languages: Python - Bicep - Jinja - Makefile - Dockerfile 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: open-source-games 📝 Description: A list of open source games. 🔗 Repository URL: https://github.com/bobeff/open-source-games 📖 Readme: https://github.com/bobeff/open-source-games#readme 📊 Statistics: 🌟 Stars: 2K stars 👀 Watchers: 40 🍴 Forks: 147 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#open_source #games #awesome_list

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

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🔥 Trending Repository: OpCore-Simplify 📝 Description: A tool designed to simplify the creation of OpenCore EFI 🔗 Repository URL: https://github.com/lzhoang2801/OpCore-Simplify 🌐 Website: https://lzhoang2801.github.io/gathering-files/opencore-efi 📖 Readme: https://github.com/lzhoang2801/OpCore-Simplify#readme 📊 Statistics: 🌟 Stars: 2.2K stars 👀 Watchers: 35 🍴 Forks: 211 forks 💻 Programming Languages: Python - Batchfile - Shell 🏷️ Related Topics:

#macos #hackintosh #opencore #hackintosh_efi #opencore_efi #lzhoang2601 #lzhoang2801 #opencoresimplify

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