Alternatives

Adata alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Adata

免费开源A股量化交易数据库; 专注A股,专注量化,向阳而生; 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生,保卫3000点,珍惜底部机会......【股票数据,股票行情数据,股票量化数据,股票交易数据,k线行情数据,股票概念数据,股票数据接口,行情数据接口,量化交易数据】【多数据源融合,动态设置代理,保障数据高可用性】

98
Quality
92
Trust
4.7K
Stars
#1

Vnpy

Similarity 126Trust 94Excellent 100

基于Python的开源量化交易平台开发框架

42K starsMay 17, 2026 pushfinancePythonQuant
$ npx skills add vnpy/vnpy
#2

Awesome Quant

Similarity 124Trust 92Excellent 100

中国的Quant相关资源索引

5.4K starsMay 17, 2026 pushfinanceQuantClaude Code
$ npx skills add thuquant/awesome-quant
#3

Turbovec

Similarity 124Trust 95Excellent 100

A vector index built on TurboQuant, written in Rust with Python bindings

11K starsJun 10, 2026 pushfinancePythonQuant
$ npx skills add RyanCodrai/turbovec
#4

QUANTAXIS

Similarity 123Trust 92Excellent 100

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

11K starsFeb 28, 2026 pushfinancePythonQuant
$ npx skills add yutiansut/QUANTAXIS
#5

Stock

Similarity 123Trust 93Excellent 100

30天掌握量化交易 (持续更新)

7.8K starsApr 17, 2026 pushfinancePythonQuant
$ npx skills add Rockyzsu/stock
#6

Tqsdk Python

Similarity 122Trust 93Excellent 100

天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易

4.8K starsJun 11, 2026 pushfinancePythonQuant
$ npx skills add shinnytech/tqsdk-python
#7

Efinance

Similarity 121Trust 90Excellent 100

efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库,回测以及量化交易的好帮手!🚀🚀🚀

3.8K starsMar 18, 2026 pushfinancePythonQuant
$ npx skills add Micro-sheep/efinance
#8

MyTT

Similarity 121Trust 91Excellent 100

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,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.

2.8K starsJun 13, 2026 pushfinancePythonQuant
$ npx skills add mpquant/MyTT
#9

Chan.Py

Similarity 121Trust 93Excellent 100

开放式的缠论python实现框架,支持形态学/动力学买卖点分析计算,多级别K线联立,区间套策略,可视化绘图,多种数据接入,策略开发,交易系统对接;

1.9K starsJun 10, 2026 pushfinancePythonQuant
$ npx skills add Vespa314/chan.py
#10

Akquant

Similarity 120Trust 94Excellent 100

AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架

1.5K starsJun 11, 2026 pushfinancePythonQuant
$ npx skills add akfamily/akquant
#11

Ashare

Similarity 119Trust 86Excellent 92

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。

3.6K starsDec 24, 2025 pushfinancePythonQuant
$ npx skills add mpquant/Ashare
#12

FinanceDatabase

Similarity 117Trust 94Excellent 100

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

7.9K starsJun 17, 2026 pushfinancePythonMarket Data
$ npx skills add JerBouma/FinanceDatabase
#13

Trader

Similarity 117Trust 91Excellent 100

期货自动交易

8.3K starsFeb 28, 2026 pushfinanceCQuant
$ npx skills add timercrack/trader
#14

Wtpy

Similarity 116Trust 88Excellent 85

wtpy是基于wondertrader为底层的针对python的子框架

1.5K starsAug 6, 2025 pushfinancePythonQuant
$ npx skills add wondertrader/wtpy
#15

Czsc

Similarity 116Trust 91Excellent 100

缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易

5.3K starsJun 12, 2026 pushfinanceRustQuant
$ npx skills add waditu/czsc
#16

2026 AI College Jobs

Similarity 116Trust 90Excellent 100

2026 AI/ML internship & new graduate job list updated daily

5.4K starsJun 13, 2026 pushfinanceQuantClaude Code
$ npx skills add speedyapply/2026-AI-College-Jobs

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Adata if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.