jqdatasdk VS alpha_vantage

Compare jqdatasdk vs alpha_vantage and see what are their differences.

jqdatasdk

简单易用的量化金融数据包(easy utility for getting financial market data of China) (by JoinQuant)
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jqdatasdk alpha_vantage
12 76
852 4,159
2.0% -
8.0 3.2
10 days ago 19 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

jqdatasdk

Posts with mentions or reviews of jqdatasdk. We have used some of these posts to build our list of alternatives and similar projects.

alpha_vantage

Posts with mentions or reviews of alpha_vantage. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

What are some alternatives?

When comparing jqdatasdk and alpha_vantage you can also consider the following projects:

mfinancials - Simple module for downloading financial statements and estimates from financials.morningstar.com

finnhub-python - 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

pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.

vvs-finance-profit-simulator - Script to find the best harvest interval for VVS Finance.

yfinance - Download market data from Yahoo! Finance's API

qlib - 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 to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

finta - Common financial technical indicators implemented in Pandas.

Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

tidyquant - Bringing financial analysis to the tidyverse

metoffer - A simple Python wrapper for the API provided by the British Met Office known as DataPoint with additional tools for handling the returned data.

simfin - Simple financial data for Python