Topics / #stock-data

Stock-data projects on GitHub

APIs and libraries for retrieving historical and realtime stock market data.

As of , the most-starred Stock-data projects on GitHub are qlib (49.5K stars), awesome-quant (30.2K stars) and yfinance (25.5K stars). GitHub.Locker tracks 6 Stock-data repositories with 131.1K stars combined. The fastest-growing on October 17 was qlib, with +44 stars in a day.

6Projects
131.1KStars in total
+78Stars in a day
Browse in the catalog →github.com/topics/stock-data ↗

Hot right now

Most stars gained in a day · Oct 17

+44

qlib

microsoft/qlib · ★ 49.5K

Qlib is Microsoft's open-source, AI-oriented quantitative investment platform that covers the full quant research pipeline — data processing, model training, backtesting, and order execution — using supervised learning, market-dynamics modeling, and reinforcement learning.

+20

awesome-quant

wilsonfreitas/awesome-quant · ★ 30.2K

A curated list of libraries, packages and resources for quants - people doing quantitative finance: pricing, trading, backtesting, risk and market data.

+8

yfinance

ranaroussi/yfinance · ★ 25.5K

yfinance is a Python library that downloads financial and market data from Yahoo! Finance's API - stock quotes, live streaming, search and screener queries - straight from your Python code.

+4

easytrader

shidenggui/easytrader · ★ 10.2K

easytrader is a Python library for automating Chinese stock quant trading - it can drive the 同花顺 (THS) desktop client, use the official miniqmt quant API, rebalance or track 雪球 (Xueqiu) portfolios, and mirror joinquant/ricequant paper trading.

The all-time top

6 projects · by stars

  1. #1 · microsoft/qlib

    qlib

    Qlib is Microsoft's open-source, AI-oriented quantitative investment platform that covers the full quant research pipeline — data processing, model training, backtesting, and order execution — using supervised learning, market-dynamics modeling, and reinforcement learning.

    49.5K
  2. #2 · wilsonfreitas/awesome-quant

    awesome-quant

    A curated list of libraries, packages and resources for quants - people doing quantitative finance: pricing, trading, backtesting, risk and market data.

    30.2K
  3. #3 · ranaroussi/yfinance

    yfinance

    yfinance is a Python library that downloads financial and market data from Yahoo! Finance's API - stock quotes, live streaming, search and screener queries - straight from your Python code.

    25.5K
  1. 4

    tushare

    15.5Kwaditu/tushare · Python

    TuShare is a Python utility for crawling, cleaning and storing historical and realtime data for China's stock and futures markets, built for quant analysts and anyone learning data analysis.

  2. 5

    easytrader

    10.2Kshidenggui/easytrader · Python

    easytrader is a Python library for automating Chinese stock quant trading - it can drive the 同花顺 (THS) desktop client, use the official miniqmt quant API, rebalance or track 雪球 (Xueqiu) portfolios, and mirror joinquant/ricequant paper trading.

  3. 6

    FQGate-agent

    257fqgate/FQGate-agent · TypeScript

    FQGate-agent is an unofficial local AI agent connector for the THS (同花顺) desktop stock trading client, letting AI assistants like Codex, Claude Code and DeepSeek query your computer's real-time A-share quotes, K-line charts, Level-2 data, positions, orders and trades.

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