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GitHub Trends

GitHub Trends

رفتن به کانال در Telegram

See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis

نمایش بیشتر
کشور مشخص نشده استفناوری و برنامه‌ها11 526

📈 تحلیل کانال تلگرام GitHub Trends

کانال GitHub Trends (@githubtrending) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 10 811 مشترک است و جایگاه 11 526 را در دسته فناوری و برنامه‌ها دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 10 811 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 10 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 225 و در ۲۴ ساعت گذشته برابر 12 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 5.72% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 3.13% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 618 بازدید دریافت می‌کند. در اولین روز معمولاً 338 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 1 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند linux, workflow, setup, claude, command تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 11 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

10 811
مشترکین
+1224 ساعت
+597 روز
+22530 روز
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#python NVIDIA-Ingest is a powerful tool that helps extract content and metadata from documents like PDFs, Word files, and PowerPoint presentations. It uses advanced NVIDIA technologies to find, classify, and extract text, tables, charts, and images. This tool allows you to process documents in parallel, making it faster and more efficient. The benefit to you is that NVIDIA-Ingest can automate the complex task of extracting useful information from documents, saving you time and effort. It also provides detailed results in a structured JSON format, which can be easily integrated into other applications or databases for further analysis or use. Additionally, it supports various extraction methods to balance speed and accuracy, making it versatile for different needs. https://github.com/NVIDIA/nv-ingest

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