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GitHub Trends

GitHub Trends

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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

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Страна не указанаТехнологии и приложения10 696

📈 Аналитический обзор Telegram-канала GitHub Trends

Канал GitHub Trends (@githubtrending) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 11 338 подписчиков, занимая 10 696 место в категории Технологии и приложения.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 11 338 подписчиков.

Согласно последним данным от 25 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 225, а за последние 24 часа — 6, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 5.87%. В первые 24 часа после публикации контент обычно набирает 2.76% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 665 просмотров. В течение первых суток публикация набирает 313 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как linux, workflow, setup, claude, command.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
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

Благодаря высокой частоте обновлений (последние данные получены 26 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

11 338
Подписчики
+624 часа
+517 дней
+22530 день
Архив постов
#python #ai #ast #claude_code #code_analysis #code_understanding #codebase_search #developer_tools #graph_database #knowledge_graph #llm #mcp #mcp_server #memgraph #monorepo #multi_language #python #rag #retrieval_augmented_generation #semantic_search #tree_sitter Code-Graph-RAG is an open-source tool that reads a codebase, builds a graph of functions, classes, modules, and links, and lets you ask questions, find code, edit safely, and improve code in plain English. It supports many languages and can run as an MCP server for direct use with AI tools. Benefit: you can understand and change large mixed-language projects faster, with less manual searching and fewer mistakes. https://github.com/vitali87/code-graph-rag

#other This repo gives 151 real DevOps, SRE, and cloud interview write-ups from 85 companies, with questions on Kubernetes, Docker, Terraform, AWS, Azure, GCP, CI/CD, Linux, scripting, and SRE basics. It helps you study smarter by searching for a company or role, comparing many interview styles, and spotting common topics before your interview. https://github.com/litu54/DevOps-Interview-Guide

#typescript Prime Agent is an open-source coding and research tool for long jobs. It uses a persistent Python workspace, built-in subagents, and saved memory so work can keep going across breaks. You can install it on macOS or Linux, start it in a project folder, and use it to run commands, edit files, and keep goals active. This helps you save time, keep progress, and handle bigger tasks with less manual work. https://github.com/PrimeIntellect-ai/prime-agent

#clojure Do not spend money on the SWARM token. SwarmForge is a local tmux tool that lets multiple AI agents work together in separate worktrees, with roles like coder, cleaner, architect, and QA; it helps you build software faster and with fewer conflicts. The benefit to you is organized teamwork, safer handoffs, and a choice of small, medium, or full workflows for different project sizes. https://github.com/unclebob/swarm-forge

#other #cti #cyberthreatintelligence #osint #osint_tools_list #socmint This is a free OSINT collection with tools and resources for many research areas like people search, flight tracking, domains, phishing, malware, images, video, business, legal records, and mapping. It helps you find the right tool faster for investigation work, and the CC0 license means you can use, change, and share it freely. https://github.com/K2SOsint/Legendary_OSINT

#python #agent_memory #ai #ai_governance #ai_infrastructure #artificial_intelligence #context_engineering #context_graphs #data_engineering #decision_intelligence #developer_tools #explainable_ai #generative_ai #graph_rag #knowledge_graph #llm #ontology #provenance #python #reasoning #semantic_search Semantica is an open-source tool that turns messy data into clear, connected knowledge graphs for AI. It helps you track where facts came from, explain AI decisions, find conflicts, and keep systems auditable and trustworthy. This benefits you by making AI easier to trust, easier to check, and safer to use in important work like finance, healthcare, legal, and government. https://github.com/semantica-agi/semantica

#rust celld is an open-source tool that lets you run Cloudflare Workers and Durable Objects on your own machines, with each object stored as its own SQLite database and synced through your S3-compatible bucket.[Text] This gives you easy scaling, less database contention, and smaller failure impact, while idle objects use almost no resources, which can help you save money and improve reliability.[Text] https://github.com/denoland/celld

#typescript Cloudflare Computer is a preview tool that gives you a file system plus a place to run code, with the main state kept safely in SQLite inside a Durable Object.[Text] You can use it with a container, a shell worker, or a JavaScript worker, and each option lets you work with files and run tasks in a different way.[Text] The benefit is easier building and testing of apps, agents, and prototypes with one shared workspace, but it is not ready for production yet.[Text] https://github.com/cloudflare/computer

#python #agent_control_plane #agent_ops #ai_agents #codex #long_running_agents #loop_engineering #loopx #workflow_automation LoopX is a local control plane for long-running AI agent work. It keeps goals, tasks, evidence, quota, and handoffs in one place so work stays clear, restartable, and easier to pass between agents and people; the benefit is less lost context, safer progress, and easier review across long projects. https://github.com/huangruiteng/loopx

#shell #graphics #infra #postgres #service #toolbox #yours Pigsty helps you set up and run PostgreSQL fast, with high availability, backup, monitoring, and many extensions on Linux or Docker. It supports small to large setups, so you can save time, reduce mistakes, and manage a reliable database system with one command. https://github.com/pgsty/pigsty

#python #agent_security #ai_agents #ai_security #benchmark #claude #claude_code #codex #cursor #llm_security #mcp #model_context_protocol #prompt_injection #threat_detection ADR is an enterprise security system for AI agents that watches what agents do, tests them for attacks, detects risky behavior, and is being used in production at Uber; its paper was accepted to MLSys 2026. The benefit to you is better protection for AI tools like Cursor, Claude Code, and Codex, plus a way to find unsafe actions before they cause harm. https://github.com/uber/ADR

#rust #markdown #nodejs #ocr_routing #pdf #pdf_classification #pdf_extraction #pdf_parser #python #rust #text_extraction pdf-inspector is a fast Rust tool that checks whether a PDF has real text or is scanned, then extracts text and turns it into clean Markdown without OCR for text PDFs. It works in Python, Node.js, Rust, and browsers, and it is useful because it can save time and cost by skipping OCR, while still giving you searchable, copyable, well-structured output for reports, papers, invoices, and legal files. https://github.com/firecrawl/pdf-inspector

#c_lang DwarfStar is a fast, narrow AI engine built mainly for DeepSeek V4 Flash, with support for GLM 5.2 and, on very large-memory machines, DeepSeek V4 PRO. It runs on Mac Metal, NVIDIA CUDA, and ROCm, and can use SSD streaming or distributed setups when models do not fully fit in RAM. The benefit is that you can run powerful local models on your own hardware, use them for chat, coding, or server workloads, and keep control of speed, memory, and cost. https://github.com/antirez/ds4

#go #agent #agent_framework #ai_agent #ai_coding #cli #coding_agent #deepseek #developer_tools #ink #llm #prompt_caching #r1 #terminal #tool_use #tui #typescript Reasonix is a DeepSeek-based AI coding agent for your terminal, desktop, or VS Code, and it uses one local engine for all three. You can set it up with a simple config, add plugins and tools, and run it as a single Go binary, which helps you code faster while keeping token costs lower during long sessions. https://github.com/esengine/DeepSeek-Reasonix

#c_lang Lighthouse is a PC port of *Banjo-Kazooie* that needs your own legal game ROM, not included game files, and works on Windows, Linux, and Mac. You verify the ROM, use the .z64 format, then run Lighthouse to extract the needed data and play. This helps you enjoy the game on modern hardware, use custom controls, add language packs, and install mods or custom assets more easily. https://github.com/HarbourMasters/Lighthouse

#javascript This project gives you many Korean helper tools for travel, transport, shopping, public services, and document work, and it works with coding agents like Claude Code and Codex. You can install all tools with one command, then use the ones you need without extra API layers. Benefit: it saves you time by letting an AI do routine Korean tasks for you, and many tools work with little or no extra login. https://github.com/NomaDamas/k-skill

#go #cli #gh_extension #github #stacked_prs This tool helps you manage stacked pull requests in GitHub, so you can split big work into small branches, keep them rebased, push them, and open or merge them in order with less manual work. The main benefit for you is faster, cleaner reviews: each PR shows only one layer of change, which makes feedback easier to read and changes easier to fix. It also supports local tracking, stack navigation, sync, and automatic PR linking, so you spend less time on Git commands and more time coding. https://github.com/github/gh-stack

#python TRELLIS.2 is a 3D AI model that turns an image into a detailed 3D object with realistic materials, sharp shapes, and support for complex forms like open surfaces and internal parts. It is built to be fast and efficient, can also add PBR textures, and lets you export usable 3D files for editing or rendering. This helps you create high-quality 3D assets much faster with less manual modeling work. https://github.com/microsoft/TRELLIS.2

#python #audiobook #faster_whisper #gradio #karaoke #podcasts #speech_recognition #speech_synthesis #speech_to_text #subtitles #text_to_speech #transcription #translator #tts #voice_cloning #voice_conversion #webui #whisper #whisperx #yt_dlp Voice-Pro is a free, open-source Windows app that lets you download YouTube videos, separate voices, turn speech into text, translate into 100+ languages, and create new speech or cloned voices. It gives you one tool for subtitles, dubbing, and voice work, so you can save time and make multilingual content more easily. https://github.com/abus-aikorea/voice-pro

#powershell reverse-skill is a routing package for cybersecurity and reverse engineering tasks. It helps an AI or user choose the right tools and workflow for APKs, binaries, JavaScript, malware, CTFs, and pentesting instead of guessing. Benefit: you save time, avoid common mistakes, and get a repeatable step-by-step process with the right tools, scope checks, and reports. https://github.com/zhaoxuya520/reverse-skill