Yahooquery VS yflive

Compare Yahooquery vs yflive and see what are their differences.

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Yahooquery yflive
2 1
430 14
- -
0.0 1.5
3 months ago over 1 year ago
Python Python
MIT License Apache License 2.0
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.


Posts with mentions or reviews of Yahooquery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-23.


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

We haven't tracked posts mentioning yflive yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Yahooquery and yflive you can also consider the following projects:

pyfolio - Portfolio and risk analytics in Python

zipline - Zipline, a Pythonic Algorithmic Trading Library

Beancount DKB - Beancount Importers for DKB (Deutsche Kredit Bank) CSV Exports

Pyqiwi - Python client for QIWI payment system

Tax-Calculator - USA Federal Individual Income and Payroll Tax Microsimulation Model

PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)


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

tradestation-python-api - A Python Client library for the TradeStation API.

mplfinance - Financial Markets Data Visualization using Matplotlib

fear-greed-index - Python CNN Fear and Greed Index wrapper

nepse-api - NEPSE API wrapper fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.