All Guides
A growing collection of structured guides.
From backend infrastructure to AI agents, find your next tool.
Freqtrade
Free open-source crypto trading bot in Python, supporting all major exchanges. Features backtesting, plotting, money management, and ML strategy optimization. Controlled via Telegram or WebUI, with spot and futures trading support.
Qlib
AI-powered quantitative investment platform supporting supervised learning, market dynamics modeling, and RL. Integrates RD-Agent for automated factor mining and model optimization, enabling end-to-end R&D automation.
Scrcpy
Mirrors Android devices (video/audio) via USB or TCP/IP, controlled by computer keyboard/mouse. No root or app installation required. Works on Linux, Windows, and macOS. Lightweight, high-performance, low latency. Features include audio forwarding, recording, virtual display, and more.
Phalcon
High-performance, full-stack PHP framework delivered as a C extension, offering exceptional performance and low resource consumption.
Puppeteer
Node.js library for controlling Chrome or Firefox via DevTools Protocol or WebDriver BiDi. Runs headless by default, ideal for automation testing and web scraping.
Etcd
Distributed reliable key-value store for critical data. Uses Raft consensus, gRPC API, automatic TLS security, and delivers high performance.
Langgraph
Low-level orchestration framework for building resilient, long-running stateful agents. Features durable execution, human-in-the-loop, comprehensive memory, and production-ready deployment. Integrates with LangChain ecosystem.
Dvc
Data Version Control and ML experiment management. Version data/models with Git, lightweight pipelines for fast iteration, track experiments locally, compare results, and share reproducible experiments.
Hummingbot
Open-source framework for creating and deploying high-frequency crypto trading bots across centralized and decentralized exchanges. Python-based, with Docker installation and a global community generating over $34B in volume.
Finrl
Open-source financial reinforcement learning framework with a full-stack automated trading pipeline. Features a three-layer architecture (environments, agents, applications) for quantitative trading research and development.
Jesse
Advanced crypto trading framework for strategy research, backtesting, optimization, and live trading. Features multi-timeframe support, smart ordering, risk management, and AI assistance for efficient, accurate algorithmic trading.
Beancount
Double-entry accounting from text files. Written in Python. Defines transactions, generates reports, and offers a web interface. Current stable version is v3.