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

The country is not specifiedTechnologies & Applications11 561...

📈 Analytical overview of Telegram channel GitHub Trends

Channel GitHub Trends (@githubtrending) in the English language segment is an active participant. Currently, the community unites 10 760 subscribers, ranking 11 561 in the Technologies & Applications category.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 10 760 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 207 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.52%. Within the first 24 hours after publication, content typically collects 2.81% reactions from the total number of subscribers.
Post reach: On average, each post receives 594 views. Within the first day, a publication typically gains 302 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
Thematic interests: Content is focused on key topics such as linux, workflow, setup, claude, command.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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”

Thanks to the high frequency of updates (latest data received on 06 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

10 760

Subscribers

+124 hours

+427 days

+20730 days

594

Post views

~ 30224 hours

~ 40048 hours

5.52%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

10 764

#typescript #agent #agents #ai #background_agents Open Agents is an open-source tool that lets you build AI coding agents running on Vercel. It separates the agent logic from the sandbox environment, meaning the AI runs outside the virtual machine and controls it through commands like file edits and shell operations. This architecture gives you flexibility—the agent isn't tied to a single request, sandboxes can pause and resume independently, and you can swap AI models or sandbox implementations without rebuilding everything. You get chat-driven coding with file tools, durable multi-step execution, isolated sandboxes, GitHub integration for cloning and creating pull requests, and optional voice input. The benefit is a scalable, modular system you can fork and customize for your own background coding agent needs without managing your laptop. https://github.com/vercel-labs/open-agents

10 764

#jupyter_notebook This free tutorial series teaches hands-on large model skills like fine-tuning, prompting, math reasoning, jailbreaks, agents, and safety alignment, with slides, guides, code notebooks, and new Huawei Ascend courses (PPTs, videos) for full development workflows. You'll quickly master AI models through simple practices, boosting your course projects, research, or career in large language models. https://github.com/Lordog/dive-into-llms

10 764

#python #ai #deep_learning #filetype #keras_classification_models #keras_models #mime_types #onnx Magika is a fast AI tool from Google that detects file types with ~99% accuracy across 200+ formats, using a tiny model that works in milliseconds on one CPU. Install easily via pip, brew, or scripts for CLI/Python/JS/Go use; scan files, directories, or streams with options like JSON output or recursion. It boosts your safety by routing files to scanners, like in Gmail/Drive, helping spot threats quickly without size limits. https://github.com/google/magika

10 764

#cplusplus #hap #mid_360 #ros #ros2 Livox ROS Driver 2 connects your Livox LiDARs like HAP and Mid360 to ROS (Noetic) or ROS2 (Foxy/Humble/Jazzy) on matching Ubuntu versions. Clone the repo in a workspace/src folder, build Livox-SDK2, then run ./build.sh with your ROS version, and launch with roslaunch or ros2 launch files from launch_ROS1/ROS2 folders—edit JSON configs for IP, ports, frequency (up to 100Hz), and formats. This lets you quickly test and visualize point clouds in RViz for robotics development, saving time on setup and debugging. https://github.com/Livox-SDK/livox_ros_driver2

10 764

#python #android #android_apps #f_droid #foss #free_and_op #free_and_open_source #izzyondroid #open_source #opensource This list offers free open-source Android apps for every need—from browsers, cameras, and music players to games, tools, and F-Droid stores like Neo-Store. Get them via F-Droid or IzzyOnDroid for no ads or tracking. It boosts your privacy and freedom by ditching Google apps, letting you control your data and phone fully. https://github.com/offa/android-foss

10 764

#typescript #ai #cuda #mlx #qwen3_tts #qwen3_tts_ui #voice_ai #voice_clone #whisper Voicebox is a free, open-source voice synthesis studio that lets you clone voices, generate speech in 23 languages, and apply audio effects—all running privately on your computer. You can create realistic voice clones from just seconds of audio, use five different text-to-speech engines for different needs, add effects like reverb and pitch shift, and build multi-voice projects with a timeline editor. The key benefit is complete privacy: your voice data and AI models never leave your machine, unlike cloud-based alternatives. It also includes an API for building voice-powered applications and works across Mac, Windows, and Linux with GPU acceleration support. https://github.com/jamiepine/voicebox

10 764

#typescript Ralph is an autonomous AI agent that loops coding tools like Amp or Claude Code to fully implement your project's Product Requirements Document (PRD) by tackling one small user story per fresh iteration, using git history, progress.txt, and prd.json for memory. Setup is simple: install prerequisites, copy scripts or skills to your repo, generate a PRD, convert to JSON, then run `./scripts/ralph/ralph.sh` for up to 10 iterations until all tasks pass checks and complete. This saves you hours of manual coding on greenfield features, delivering working code reliably with minimal supervision. https://github.com/snarktank/ralph

10 764

#c_lang #aarch64 #arm #arm64 #bios #boot_loader #boot_manager #bootloader #efi #gpt #loongarch #loongarch64 #loongson #mbr #risc_v #riscv #riscv64 #uefi #x64 #x86 #x86_64 Limine is a modern bootloader that boots Linux and other OSes on x86, ARM64, RISC-V, and LoongArch64 hardware, supporting MBR/GPT partitions and FAT/ISO filesystems on 32-bit Pentium Pro+ or 64-bit systems. Get binaries via Git (e.g., `git clone --branch=v11.x-binary`), build tools with `make`, and join Matrix/Fluxer chats for help. This lets you easily manage and boot multiple OSes with a clean menu, saving time on custom PC or server setups. https://github.com/Limine-Bootloader/Limine

10 764

#other #awesome #awesome_list #design_systems #hacktoberfest #pattern_library #ui_library A design system is a collection of documentation, principles, and reusable elements that helps teams build digital products consistently. It includes UI components, pattern libraries, style guides, and guidelines for accessibility and user experience. The main benefit is that design systems enable teams to work faster and more efficiently by providing pre-built, standardized pieces they can reuse across projects, ensuring visual consistency and reducing redundancy while creating a shared language across your organization. https://github.com/alexpate/awesome-design-systems

10 764

#typescript Multica is an open-source platform that turns coding agents into real teammates. Assign tasks to them like colleagues—they write code, report issues, update progress, and build reusable skills over time, with no babysitting needed. Use Multica Cloud for instant start or self-host with Docker and CLI for local control; it works with Claude Code, Codex, and more. This saves you hiring costs for your next 10 developers, boosts team productivity, and lets humans and AI collaborate seamlessly on the same board. https://github.com/multica-ai/multica

10 764

#c_lang #jq jq is a lightweight command-line tool like sed, awk, or grep, but for processing JSON data. It lets you easily slice, filter, map, and transform structured data with zero runtime dependencies. Install via prebuilt binaries from GitHub releases, Docker (e.g., `docker run --rm -i ghcr.io/jqlang/jq:latest < package.json '.version'` to extract version), or build from source. This saves you time handling JSON in scripts, APIs, or files efficiently without heavy software. https://github.com/jqlang/jq

10 764

#other Use Karpathy-inspired guidelines in a single CLAUDE.md file to fix Claude's coding flaws like wrong assumptions, overcomplicated code, unnecessary edits, and poor goal-setting. Follow four rules: think explicitly before coding, prioritize simplicity, make only required changes, and use tests for verifiable success. Install via Claude plugin or curl command. You benefit with cleaner, minimal code, fewer errors, proactive questions, and self-correcting AI that delivers precise results faster. https://github.com/forrestchang/andrej-karpathy-skills

10 764

#python #ai_agents #ai_tutor #clawdbot #cli_tool #deepresearch #interactive_learning #large_language_models #multi_agent_systems #rag DeepTutor v1.0.0 is an open-source AI tutoring tool with personalized TutorBots, unified chat modes for solving problems, quizzes, research, and math animations, plus knowledge bases from your PDFs, persistent memory of your learning style, AI co-writing, and guided plans—all via easy web, Docker, or CLI setup. You benefit by getting a smart, evolving study companion that adapts to you, boosts understanding with interactive tools, and saves time on tough topics without starting over. https://github.com/HKUDS/DeepTutor

10 764

#python PersonaPlex is a real-time speech model for natural, low-latency conversations. Control its voice with audio prompts and role via simple text—like a friendly teacher, customer service rep, or casual chat partner—with natural male/female voices. Install easily, launch a web demo server, and test offline. You benefit by creating personalized AI interactions for apps, role-play, or fun talks, with quick setup and low GPU needs via CPU offload. https://github.com/NVIDIA/personaplex

10 764

#typescript QMD is an on-device search engine that indexes your markdown notes, meeting transcripts, docs, and knowledge bases for fast keyword, semantic, or hybrid searches using local AI models—no internet needed. Install via npm or bun, add collections like `qmd collection add ~/notes --name notes`, embed with `qmd embed`, then query like `qmd query "project timeline"` for top results with scores and context. It integrates with AI agents via JSON output or MCP server. You benefit by quickly finding info across your files to boost productivity and make smarter decisions in agentic workflows. https://github.com/tobi/qmd

10 764

#java #minecraft #minecraft_mod #vulkan #vulkan_renderer VulkanMod is a Fabric mod that replaces Minecraft Java's old OpenGL renderer with a modern Vulkan 1.2 engine, cutting CPU overhead, boosting GPU performance, and adding features like Wayland support and chunk optimizations for much higher FPS and smoother gameplay. Install Fabric loader, download the .jar from Modrinth or CurseForge, and drop it in your .minecraft/mods folder to enjoy lag-free worlds and better hardware use right away—perfect for high-res packs or busy servers. https://github.com/xCollateral/VulkanMod

10 764

#cplusplus LiteRT-LM is Google's free, high-speed tool for running large language models like Gemma 4 on phones, computers, Raspberry Pi, and more, with GPU boosts, vision/audio support, and tool use for smart apps. It powers AI in Chrome, Pixel Watch, and Chromebook—try it fast via CLI command on Linux, macOS, Windows, or Pi without coding. You benefit by easily deploying fast, private on-device AI for apps, prototyping, or edge projects, saving time and cloud costs. https://github.com/google-ai-edge/LiteRT-LM

10 764

#kotlin Google AI Edge Gallery lets you run powerful open-source AI models like Gemma 4 on your phone offline, with features like smart agents, image analysis, voice transcription, and a prompt tester. It keeps everything private on your device for fast, secure use without internet. Download from Google Play or App Store to test advanced AI reasoning and creativity anytime, boosting your productivity and privacy on the go. https://github.com/google-ai-edge/gallery

10 764

#yara #awesome_list #blueteam #blueteam_tools #cti #detection #detection_engineering #dfir #hacktools #incident_response #ioc #iocs #ir #ransomware #redteam #rmm #security #siem #soc #threat_hunting #threat_intelligence You can access comprehensive security detection lists and threat hunting resources that help identify malicious activity across your infrastructure. These curated collections include indicators like suspicious file hashes, domain names, IP addresses, and behavioral patterns organized by threat type—from ransomware and phishing to command-and-control servers and vulnerable drivers. By integrating these lists into your security tools like SIEM platforms and endpoint detection systems, you gain immediate visibility into known threats while learning detection methodologies through guides and YARA rules. This accelerates your ability to hunt for compromises, validate security controls, and stay current with emerging attack techniques without building detection logic from scratch. https://github.com/mthcht/awesome-lists

10 764

#python #apple_silicon #florence2 #idefics #llava #llm #local_ai #mlx #molmo #paligemma #pixtral #vision_framework #vision_language_model #vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm