akshare
pandas-datareader
akshare | pandas-datareader | |
---|---|---|
125 | 3 | |
4,314 | 2,821 | |
- | 0.6% | |
9.9 | 6.3 | |
over 2 years ago | 2 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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akshare
pandas-datareader
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Seeking recommendations for forex economic data API
I've looked at https://github.com/pydata/pandas-datareader and it looks good, does anyone have experience?
- pandas datareader get_data_yahoo(), Fix question, I have heard they changed something to make it secure
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Best quantitative tools/repos/apis for Sentiment & Social Media analysis of individual Stock/Crypto tickers
Also Yahoo continually takes steps to discourage programmatic access (the most recent attempt is happening right now: https://github.com/pydata/pandas-datareader/issues/868).
What are some alternatives?
awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
yfinance - Download market data from Yahoo! Finance's API
akshare - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 [Moved to: https://github.com/akfamily/akshare]
mfinancials - Simple module for downloading financial statements and estimates from financials.morningstar.com
knowledge-repo - A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Scrape-Finance-Data-v2 - A standalone package to scrape financial data from listed Vietnamese companies via Vietstock
alpha_vantage - A python wrapper for Alpha Vantage API for financial data.
yflive - Live Data Streamer for Yahoo! Finance
archiveis - A simple Python wrapper for the archive.is capturing service
Quantel - Official Python wrapper for the Quantel Finance API
youtube-dl - Command-line program to download videos from YouTube.com and other video sites
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]