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Alternatives

Pynance alternatives for AI agents.

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

Compare shortlistView Pynance

Current skill

Pynance

Lightweight Python library for assembling and analysing financial data

53
Quality
73
Trust
459
Stars
#1

Finnhub Python

Similarity 134Trust 91Excellent 95

Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api

1.0K starsApr 22, 2026 pushfinancePythonFinancial Data
$ npx skills add Finnhub-Stock-API/finnhub-python
#2

My TW Coverage

Similarity 128Trust 84Strong 78

Equity research coverage of 1,735 Taiwan-listed companies (TWSE + OTC). Business overviews, supply chain mapping, and financial data with wikilink cross-referencing.

498 starsMar 25, 2026 pushfinancePythonFinancial Data
$ npx skills add Timeverse/My-TW-Coverage
#3

TradingAgents

Similarity 128Trust 96Excellent 100

TradingAgents: Multi-Agents LLM Financial Trading Framework

86K starsJun 14, 2026 pushfinancePythonFinance
$ npx skills add TauricResearch/TradingAgents
#4

Vnpy

Similarity 128Trust 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
#5

Investpy

Similarity 127Trust 89Excellent 98

Financial Data Extraction from Investing.com with Python

1.8K starsApr 13, 2026 pushfinancePythonFinancial Data
$ npx skills add alvarobartt/investpy
#6

Yfinance

Similarity 127Trust 94Excellent 100

Download market data from Yahoo! Finance's API

24K starsJun 12, 2026 pushfinancePythonMarket Data
$ npx skills add ranaroussi/yfinance
#7

QUANTAXIS

Similarity 125Trust 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
#8

Simfin

Similarity 125Trust 77Strong 71

Simple financial data for Python

337 starsApr 30, 2026 pushfinancePythonFinancial Data
$ npx skills add SimFin/simfin
#9

Stock

Similarity 125Trust 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
#10

Tqsdk Python

Similarity 124Trust 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
#11

Efinance

Similarity 123Trust 91Excellent 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
#12

Xalpha

Similarity 123Trust 93Excellent 100

基金投资管理回测引擎

2.6K starsJun 12, 2026 pushfinancePythonFinance
$ npx skills add refraction-ray/xalpha
#13

Tda API

Similarity 123Trust 85Strong 72

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.

1.3K starsJun 16, 2024 pushfinancePythonFinance
$ npx skills add alexgolec/tda-api
#14

Backtrader

Similarity 123Trust 88Excellent 85

Python Backtesting library for trading strategies

22K starsAug 19, 2024 pushfinancePythonBacktesting
$ npx skills add mementum/backtrader
#15

FinRL Meta

Similarity 123Trust 93Excellent 100

FinRL­®-Meta: Dynamic datasets and market environments for FinRL.

1.9K starsMay 25, 2026 pushfinancePythonFinance
$ npx skills add AI4Finance-Foundation/FinRL-Meta
#16

Akquant

Similarity 122Trust 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

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 Pynance 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.