pyjanitor VS pandas-datareader

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

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pyjanitor pandas-datareader
4 3
1,287 2,826
1.6% 0.6%
8.3 6.3
1 day ago 3 months ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

pyjanitor

Posts with mentions or reviews of pyjanitor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-19.

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.

What are some alternatives?

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

modin - Modin: Scale your Pandas workflows by changing a single line of code

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

pdpipe - Easy pipelines for pandas DataFrames.

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

Dask - Parallel computing with task scheduling

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

QuickSQLConnector - SQL in one line

yflive - Live Data Streamer for Yahoo! Finance

cookiecutter-python-library - A Cookiecutter Template for Modern Python Libraries

Quantel - Official Python wrapper for the Quantel Finance API

yapsl - Yet another python sms library

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]