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AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
An open-source PAM tool alternative to CyberArk. 广受欢迎的开源堡垒机。
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Open source platform for the machine learning lifecycle
Automated nginx proxy for Docker containers using docker-gen
Zipline, a Pythonic Algorithmic Trading Library
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Python Backtesting library for trading strategies
Download market data from Yahoo! Finance's API
Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
An easy and fast way to create a Python GUI 🐍
Wrong project! You should head over to http://github.com/sshuttle/sshuttle
Portfolio analytics for quants, written in Python
Financial Markets Data Visualization using Matplotlib
Turn a MacBook into a Touchscreen with $1 of Hardware
Universal Office Converter - Convert between any document format supported by LibreOffice/OpenOffice.
wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before.
MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字…
股票行情实时数据接口-A股,完全免费的沪深证券股票数据-中国股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集，系统包括新浪腾讯双数据核心采集获取，自动故障切换，STOCK数据格式成DataFrame格式,可用来查询研究量化分析，股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量，更加专注于策略和模型的研究与实现。
静默活体检测（Silent-Face-Anti-Spoofing）
Common financial risk and performance metrics. Used by zipline and pyfolio.
BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）
qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型…
btplotting provides plotting for backtests, optimization results and live data from backtrader.