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
Show moreThe country is not specifiedTechnologies & Applications10 530
📈 Analytical overview of Telegram channel GitHub Trends
Channel GitHub Trends (@githubtrending) in the English language segment is an active participant. Currently, the community unites 11 851 subscribers, ranking 10 530 in the Technologies & Applications category.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 851 subscribers.
According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 219 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.01%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- 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 27 October, 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.
11 851
Subscribers
+924 hours
+527 days
+21930 days
Posts Archive
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#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
11 856
#cplusplus #arduino #bluetooth #can_bus #debugging #eeprom #esp32 #flipperzero #gpio #hardware_hacking #i2c #jtag #openocd #protocols #pwm #radio #rfid #spi #subghz #uart #wifi
ESP32 Bit Pirate turns an ESP32-S3 board into a powerful tool for testing and working with many devices and signals, including I2C, SPI, UART, Bluetooth, Wi‑Fi, RFID, and more. You can use it through a serial terminal, a web browser, or on the Cardputer screen, and it also supports scripting, sniffing, flashing, and data tools. This helps you save time because one device can replace several tools for debugging, analysis, and hardware work.
https://github.com/geo-tp/ESP32-Bit-Pirate
11 856
#typescript #hacktoberfest #hono #issue_management #issue_tracker #jira_alternative #kanban #linear_alternative #project_management #react #self_hosted #typescript
Kaneo is a free, open-source, self-hosted project management tool made for simple, fast teamwork, with a clean interface, strong performance, and full control over your data. It helps you manage tasks and collaborate without extra complexity, so you can stay focused and work faster while keeping your own setup and privacy.
https://github.com/usekaneo/kaneo
11 856
#rust #ai_tools #code_review #rust #tui
This is tuicr, a terminal code review tool with vim keybindings that lets you read diffs, add comments, and send reviews to GitHub, GitLab, clipboard, or stdout. It works with git, jj, and Mercurial, so you can review changes in one place and save time when checking code or sharing feedback.
https://github.com/agavra/tuicr
11 856
#python #deep_face_swap #deep_learning #deep_neural_networks #deepface #deepfakes #deeplearning #face_swap #faceswap #fakeapp #machine_learning #myfakeapp #neural_nets #neural_networks #openfaceswap
FaceSwap is a computer tool that uses deep learning to recognize and swap faces in photos and videos, and it works best on Windows, Linux, or Mac with a modern GPU. You first extract faces, then train a model, then convert new images or video, so you can create face swaps or learn how AI face recognition works more easily.
https://github.com/deepfakes/faceswap
