GitHub Trends
Kanalga Telegram’da o‘tish
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
Ko'proq ko'rsatishMamlakat belgilanmaganTexnologiyalar & Aralashmalar10 530
📈 Telegram kanali GitHub Trends analitikasi
GitHub Trends (@githubtrending) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 11 861 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 10 530-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 11 861 obunachiga ega bo‘ldi.
26 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 219 ga, so‘nggi 24 soatda esa 9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.01% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent linux, workflow, setup, claude, command kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
11 861
Obunachilar
+924 soatlar
+527 kun
+21930 kun
Postlar arxiv
11 861
#html #awesome #awesome_list #generative_ai #interview_questions #large_language_models #llms #notebook_jupyter #vision_and_language
This guide is a free, one-stop place for generative AI learning. It gives you papers, courses, roadmaps, interview prep, code notebooks, and tools, so you can quickly learn the basics, build apps, and prepare for jobs. It helps you save time by putting many useful resources in one place and showing what to study next.
https://github.com/aishwaryanr/awesome-generative-ai-guide
11 861
#python #ai #ai_agents #cli #hypergraph #information_extraction #knowledge #knowledge_graph #llm #python #rag
Hyper-Extract is a tool that uses AI to turn messy documents into clean, structured knowledge like lists, graphs, and linked data with one command. It gives you fast search, easy visual reports, and ready-made templates, so you can save time, understand information faster, and keep adding new documents without rebuilding everything.
https://github.com/yifanfeng97/Hyper-Extract
11 861
#typescript #api #api_client #api_design #curl #electron_app #graphql #grpc #http_client #rest_api #websockets
Insomnia is a free, open-source API tool for designing, testing, debugging, and mocking APIs across REST, GraphQL, gRPC, WebSockets, and more. You can keep data local, sync with Git or the cloud, and use features like automated tests, OpenAPI design, CLI support, and collaboration, which helps you work faster, protect sensitive data, and manage API projects more easily.
https://github.com/Kong/insomnia
11 861
#other #agentic_ai #coding #llm #long_horizon
GLM-5.2 is the latest open-source model built for long, complex tasks, featuring a stable 1 million-token context that lets you handle huge projects without losing track of details. It also offers stronger coding skills with flexible thinking modes to balance speed and quality, plus faster performance. You benefit by getting reliable, high-quality results for big software engineering jobs, automated research, or long planning sessions, all while using an open model that saves costs compared to closed alternatives.
https://github.com/zai-org/GLM-5
11 861
#python #generative_ai #ltx #ltx_2
LTX-2 is an open-source AI video model that makes video and sound together in one system, with sync between speech, movement, and audio. It offers high-quality results, multiple speed and quality modes, API use, and local running, so you can create faster previews or more polished videos depending on your needs.
https://github.com/Lightricks/LTX-2
11 861
#other #ai #artificial_intelligence #deep_learning #intelligent_machines #intelligent_systems #machine_intelligence #machine_learning #neural_network #reinforcement_learning #statistical_learning #unsupervised_learning
This is a curated AI roadmap with books, courses, papers, tools, and agents for learning and building modern AI systems. It helps you quickly find trusted resources for RAG, agents, evals, deployment, and coding tools, so you can learn faster and build better AI products with less guesswork.
https://github.com/owainlewis/awesome-artificial-intelligence
11 861
#python #agent #agentic_ai #ai #claude #copilot #cursor #elevenlabs #ffmpeg #flux #image_generation #open_source #openai #python #remotion #stable_diffusion #text_to_speech #text_to_video #video_generation #video_production
OpenMontage turns a plain idea or even a reference video into a full video production workflow, handling research, script writing, asset creation, editing, captions, and final rendering. Your benefit is faster video creation with lower cost, more control, and fewer surprises, because it can use free/open footage or AI tools, estimate cost first, and check quality before showing you the result.
https://github.com/calesthio/OpenMontage
11 861
#c_lang #aider #ast #claude_code #code_analysis #code_intelligence #codex #cursor #cypher #developer_tools #gemini_cli #graph_visualization #kilocode #knowledge_graph #mcp #mcp_server #model_context_protocol #opencode #sqlite #tree_sitter #windsurf
This is a fast, local code tool that builds a smart map of a codebase, so you can find functions, calls, routes, and dependencies in seconds instead of reading files one by one. It works on macOS, Linux, and Windows, supports many languages, and helps you understand changes, reduce wasted tokens, and save time while coding.
https://github.com/DeusData/codebase-memory-mcp
11 861
#python
RLMs let a language model break a large task into smaller parts, call itself again, and work through very long inputs more effectively. They include tools for local or isolated code execution, support major model providers, and offer training and logging features. For you, this means better handling of long-context tasks, more flexible model workflows, and a way to test or train your own recursive AI system safely.
https://github.com/alexzhang13/rlm
11 861
#rust #adb #android #bloatware_list #bloatware_removal #debloat #debloater #debloating #privacy
Universal Android Debloater Next Generation is a tool that removes unnecessary Android system apps to improve privacy, speed, battery life, memory use, and even security by reducing the attack surface. It does not collect or send your data, and its only outside connections are to GitHub for app lists and update checks. For you, this means a cleaner phone that may run faster, use less power, and expose fewer risks, but it should be used carefully because changes can affect your device.
https://github.com/Universal-Debloater-Alliance/universal-android-debloater-next-generation
11 861
#csharp #csharp #debloat #dotnet #gaming #open_source #optimization #optimizer #optimizerduck #performance #privacy #tweaker #tweaks #windows #winui
optimizerDuck is a free, open-source Windows tool that helps improve speed, privacy, and system cleanup with easy toggles and built-in tools. It can reduce background clutter, adjust performance settings, and let you undo changes later, so you can make your PC feel faster and more private with less risk and less manual work.
https://github.com/itsfatduck/optimizerDuck
11 861
#python #hacktoberfest #home_assistant #home_assistant_component #integration #tesla
This Tesla Home Assistant add-on lets you see car status and control features like climate, locks, charging, horn, lights, and location from one place. It can also manage Powerwall and solar energy data, and it may need a token and a proxy setup for newer Tesla cars; the main benefit is easier daily control and monitoring of your Tesla in Home Assistant, though frequent polling can wake the car and use more battery.
https://github.com/alandtse/tesla
11 861
#javascript #eslint #eslint_config #eslint_plugin #eslint_rules #javascript #linting_rules #nodejs #unicorns #xo
eslint-plugin-unicorn is an ESLint plugin with more than 200 rules that help you write cleaner JavaScript and TypeScript code, and some rules also work for CSS, HTML, JSON, and Markdown when used with the right ESLint language plugin. It installs with ESLint and can be used through a recommended preset or by choosing rules yourself, which helps you catch problems early, keep code consistent, and save time with automatic fixes for many issues.
https://github.com/sindresorhus/eslint-plugin-unicorn
11 861
#python
This is an open-source PaaS platform for building, deploying, and managing SaaS apps with tools like a developer center, API gateway, login, and desktop. It uses modern web and cloud features, supports MySQL, RabbitMQ, object storage, Docker-style deployment, Python, and Node.js, and includes a stable release note and an MIT license. It helps you create apps faster, with lower cost and less operations work.
https://github.com/TencentBlueKing/blueking-paas
11 861
#python #hacktoberfest #python #test #testing #unit_testing
pytest is a free, open-source Python testing tool that helps you write small tests quickly and also handle bigger, more complex test suites. It gives clear failure messages, finds test files and functions automatically, and supports fixtures, `unittest`, and many plugins, which helps you catch bugs faster and write tests with less effort.
https://github.com/pytest-dev/pytest
11 861
#tex #book #boulder #cu #robotics
This book is a textbook about the main ideas behind autonomous robots, and its source code can be used for non-commercial purposes with credit, but compiled copies cannot be posted online. You can make your own PDF with LaTeX or Overleaf, and the book can be cited in standard academic form. The benefit to you is access to a practical robotics resource you can study, teach from, and compile for personal use.
https://github.com/Introduction-to-Autonomous-Robots/Introduction-to-Autonomous-Robots
11 861
#python
Music Assistant is a free, open-source tool that manages your music library by connecting to streaming services and speakers. It runs best on an always-on device like a Raspberry Pi and works seamlessly with Home Assistant for smart automation. The benefit to you is effortless control over all your music sources in one place, plus the ability to create automated routines (like playing music when you arrive home) without needing complex coding skills.
https://github.com/music-assistant/server
11 861
#other
This page presents a Zhang Xuefeng-style AI skill that turns his way of thinking into a usable tool for career and education advice. Its benefit is that you can get clear, direct, practical guidance on majors, jobs, and study choices instead of vague opinions.
https://github.com/alchaincyf/zhangxuefeng-skill
11 861
#python
SIA is a tool that helps an AI system improve itself by using three parts: a meta-agent that sets up the task, a target agent that tries the task, and a feedback agent that studies the results and makes the next version better. This can help you test AI on your own tasks, track progress across generations, and see what changes improve performance.
https://github.com/hexo-ai/sia
11 861
#python
SkillSpector scans AI agent skills before you install them and flags risky code, hidden instructions, data leaks, and other security problems, using fast checks and optional AI review. It can scan folders, files, Git repos, and zip files, and it gives an easy risk score plus clear advice so you can decide whether a skill is safe to use.
https://github.com/NVIDIA/SkillSpector
