RiceQuant
@ricequant • RiceQuant 米筐量化交易平台. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
94%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
26 repos
Visible snapshot
4 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (20), Jupyter Notebook (2), Unknown (2)
Average size
302
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-10-10(3h ago)GitHub API fallback26 repositories
94%
of the visible star count comes from this organization's top three repositories.
302
stars per repository in this same snapshot.
Python
is the most common language here, with 4 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 87% of its visible star count.
Flagship share 87%Breakout repo: rqalpha
Organization pages work best when you separate portfolio breadth from flagship concentration. In RiceQuant's case, the visible top three repositories account for about 94% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (20), Jupyter Notebook (2), Unknown (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities | Python | 6.8K |
| 2 | ricequant/rqalpha-mod-vnpy RQAlpha 对接 vnpy 的扩展 Mod。通过启用该 Mod 来实现期货策略的实盘交易 | Python | 308 |
| 3 | ricequant/rqalpha-mod-ctp RQAlpha 对接 ctp 的扩展 Mod。通过启用该 Mod 来实现期货策略的实盘交易 | Python | 237 |
| 4 | ricequant/rqalpha-mod-tushare Make Tushare compatible with RQAlpha | Python | 189 |
| 5 | ricequant/rqopen-client rqopen-client：本地拿到Ricequant上实盘模拟交易策略的交易信号和持仓 | Python | 85 |
| 6 | ricequant/ricequant-skills skills developed by RiceQuant | Python | 48 |
| 7 | ricequant/funcat Funcat 将同花顺、通达信、文华财经麦语言等的公式写法移植到了 Python 中。 | Jupyter Notebook | 33 |
| 8 | ricequant/rqrisk | Python | 22 |
| 9 | ricequant/rqalpha-mod-stock-realtime RQAlpha 接受实时行情并触发事件 Mod | Python | 21 |
| 10 | ricequant/rqalpha-mod-incremental RQAlpha 增量运行 Mod | Python | 18 |
| 11 | ricequant/rqdata-cli 高性能的 RQData 命令行工具，为量化研究和 AI Agent 设计 | Python | 17 |
| 12 | ricequant/rqalpha-mod-funcat 为 RQAlpha 带来了以通达信公式的方式编写策略逻辑的功能。 | Python | 15 |
| 13 | ricequant/spiders Python based spiders to get market data for financial trading markets | Python | 15 |
| 14 | ricequant/rqalpha-mod-sentry Rqalpha 集成 sentry 的扩展 Mod。实现错误日志全自动采集、处理 | Python | 11 |
| 15 | ricequant/rqams-client Python client of RQAMS | Python | 4 |
| 16 | ricequant/rqctp | Python | 4 |
| 17 | ricequant/rqalpha-mod-rqdata | Python | 4 |
| 18 | ricequant/rqboot | Java | 4 |
| 19 | ricequant/rq-resource | 1 | |
| 20 | ricequant/rqams-harness rqams agent 化套件 | Python | 0 |
| 21 | ricequant/rqams-cli rqams 命令行接口工具 | Go | 0 |
| 22 | ricequant/dx DX Analytics | 0 | |
| 23 | ricequant/robotframework-requests Robot Framework keyword library wrapper for requests | Python | 0 |
| 24 | ricequant/rqams-helper RQAMS 助手，向 RQAMS 中自动同步来自其他系统的交割单 | Python | 0 |
| 25 | ricequant/conda OS-agnostic, system-level binary package manager and ecosystem | Python | 0 |
| 26 | ricequant/bcolz A columnar data container that can be compressed. | Jupyter Notebook | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.