pandas-datareader VS mfinancials

Compare pandas-datareader vs mfinancials and see what are their differences.

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pandas-datareader mfinancials
3 2
2,959 14
0.8% -
4.5 0.0
4 months ago almost 3 years ago
Python Python
GNU General Public License v3.0 or later 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.

pandas-datareader

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

mfinancials

Posts with mentions or reviews of mfinancials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-06.

What are some alternatives?

When comparing pandas-datareader and mfinancials you can also consider the following projects:

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

Scrape-Finance-Data-v2 - A standalone package to scrape financial data from listed Vietnamese companies via Vietstock

jqdatasdk - 简单易用的量化金融数据包(easy utility for getting financial market data of China)

yflive - Live Data Streamer for Yahoo! Finance

simfin - Simple financial data for Python

alpha_vantage - A python wrapper for Alpha Vantage API for financial data.

FundamentalAnalysis - Transparent and Efficient Financial Analysis [Moved to: https://github.com/JerBouma/FinanceToolkit]

Quantel - Official Python wrapper for the Quantel Finance API

pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more [Moved to: https://github.com/pandas-dev/pandas]

poor-almanac-4

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