GitHub Trends

#typescript#devops#infra#infrastructure Make beautiful isometric infrastructure diagrams https://github.com/stan-smith/FossFLOW

#python#docker#fastapi#kbqa#kgqa#llms#neo4j#rag#vue Yuxi-Know (语析) is a free, open-source platform built with LangGraph, Vue.js, FastAPI, and LightRAG to create smart agents using RAG knowledge bases and knowledge graphs. The latest v0.4.0-beta (Dec 2025) adds file uploads, multimodal image support, mind maps from files, evaluation tools, dark mode, and better graph visuals. It helps you quickly build and deploy custom AI agents for Q&A, analysis, and searches without starting from scratch, saving time and effort on development. https://github.com/xerrors/Yuxi-Know

#go#git#go#golang#hacktoberfest#hooks#lefthook#manager Lefthook is a fast Git hooks manager built in Go for Node.js, Ruby, Python, and other projects. Install it easily via Go, NPM, gem, or pipx, then configure hooks in a simple lefthook.yml file and run `lefthook install`. It runs commands in parallel, filters files with globs/regex, supports scripts, tags, Docker, and local overrides for speed and control. This saves you time on commits/pushes by automating linting and checks quickly without dependencies, keeping code clean effortlessly. https://github.com/evilmartians/lefthook

#cmake CMake-based MinGW-w64 Cross Toolchain https://github.com/shinchiro/mpv-winbuild-cmake

#rust Miri is a tool that detects bugs in unsafe Rust code by finding undefined behavior—situations where your program violates safety rules and can behave unpredictably. When you write unsafe code, you bypass Rust's normal safety checks, so you must manually ensure your code follows strict requirements like proper memory alignment, no data races, and correct pointer usage. Miri catches violations of these requirements by running your code in a special interpreter that monitors every operation. It detects problems like out-of-bounds memory access, use-after-free errors, uninitialized data, and misaligned pointers. You can easily use Miri by installing it with Rust's nightly toolchain and running `cargo miri test` on your project. The benefit is that Miri finds subtle bugs that would otherwise cause crashes or security vulnerabilities in production, making it an essential tool for anyone writing unsafe Rust code. https://github.com/rust-lang/miri

#javascript#aicoding#free AIClient-2-API is a free Node.js proxy that turns client-only AI models like Gemini 3 Pro, Claude 4.5 Opus, Qwen3 Coder Plus, and Kiro into one easy OpenAI-compatible API you run locally with Docker or a script. Access a web console at localhost:3000 to add keys, switch models, monitor health, and log chats—no code changes needed for tools like Cherry-Studio. You benefit by using top free/cheap advanced AIs seamlessly, bypassing limits with smart account pooling for 99.9% uptime, saving costs, and building private datasets from logs. https://github.com/justlovemaki/AIClient-2-API

#python This repository offers Anthropic's Claude Skills—folders with instructions, scripts, and resources that dynamically teach Claude specialized tasks like branded documents, data analysis, or workflows. Examples cover creative, technical, and enterprise uses; install via Claude Code, .ai, or API, or create your own with a simple SKILL.md template. You benefit by automating repetitive work, boosting productivity, ensuring consistent results, and capturing your team's knowledge for reliable, scalable AI performance. https://github.com/anthropics/skills

#powershell EntraGoat creates a safe, vulnerable Microsoft Entra ID setup in your test tenant using PowerShell and a web interface for easy deployment of scenarios like privilege escalation attacks. Clone the GitHub repo, install tools, run scripts for challenges with flags, solutions, and cleanups—no extra costs. You benefit by safely practicing real-world identity hacks, spotting misconfigurations, and boosting your skills to secure production systems without risks. https://github.com/Semperis/EntraGoat

#python#gemini#gemini_ai#gemini_api#gemini_flash#gemini_pro#information_extration#large_language_models#llm#nlp#python#structured_data **LangExtract** is a free Python library that uses AI models like Gemini to pull structured data—like names, emotions, or meds—from messy text such as reports or books. It links every fact to its exact spot in the original, creates interactive visuals for easy checks, handles huge files fast with chunking and parallel runs, and works with cloud or local models without fine-tuning. You benefit by quickly turning unstructured docs into reliable, organized data for analysis, saving time and boosting accuracy in fields like healthcare or research. https://github.com/google/langextract

#python#cv#cv_builder#cv_generator#cv_template#python#resume#resume_builder#resume_generator#resume_template#typst RenderCV lets you write your CV as simple YAML text, then run one command like rendercv render yourfile.yaml to get a perfect PDF with pro typography—no layout fights or formatting hassle. Version-control it easily, focus purely on content, customize themes/colors/fonts, validate strictly, and use any language. You save time, get pixel-perfect resumes every time, and maintain versions without chaos. https://github.com/rendercv/rendercv

#python **Reachy Mini** is an open-source desktop robot, 11 inches tall and 3.3 lbs, with a 6-DoF expressive head, 360° body rotation, animated antennas, wide-angle camera, microphones, speaker, and Hugging Face AI integration for 1.7M+ models. Assemble in 2-3 hours as a kit; choose Lite (USB-powered) or Wireless (Raspberry Pi, battery). Use simple Python SDK for quick control, apps like conversation or hand-tracking, and simulation. **You benefit** by easily building, testing, and sharing AI robots at home or work, speeding up embodied AI experiments affordably. https://github.com/pollen-robotics/reachy_mini

#rust#ai#change_data_capture#context_engineering#data#data_engineering#data_indexing#data_infrastructure#data_processing#etl#hacktoberfest#help_wanted#indexing#knowledge_graph#llm#pipeline#python#rag#real_time#rust#semantic_search **CocoIndex** is a fast, open-source Python tool (Rust core) for transforming data into AI formats like vector indexes or knowledge graphs. Define simple data flows in ~100 lines of code using plug-and-play blocks for sources, embeddings, and targets—install via `pip install cocoindex`, add Postgres, and run. It auto-syncs fresh data with minimal recompute on changes, tracking lineage. **You save time building scalable RAG/semantic search pipelines effortlessly, avoiding complex ETL and stale data issues for production-ready AI apps.** https://github.com/cocoindex-io/cocoindex