About Us
Who runs pybaseball.com, what we cover and how we keep every guide accurate.
WHO WE ARE
An independent guide to the pybaseball Python library
pybaseball.com explains how to download, install and use pybaseball, the open-source package that pulls baseball data from Baseball Savant, FanGraphs and Baseball Reference into pandas DataFrames.
The official README is written for people who already know their way around Python. We write for everyone else too: students running their first pip install pybaseball, fantasy players who want real numbers, and analysts who need a quick fix when something stops working.
Important: we did not create pybaseball and we are not its maintainers. The library is written by James LeDoux and contributors and maintained by Moshe Schorr on GitHub. We are also not affiliated with MLB, FanGraphs, Baseball Reference or Baseball Savant.
WHAT WE COVER
What you'll find on pybaseball.com
Plain-English guides
Installation walkthroughs for Windows, macOS and Linux, written step by step.
Working code examples
Every snippet uses functions and arguments documented in the official project.
Real fixes
Troubleshooting based on the README FAQ and errors reported on GitHub issues.
Kept up to date
We re-check guides when a new release or a source-site change affects them.
OUR EDITORIAL PRINCIPLES
How we keep the guides accurate
01
Facts come from the source
Version numbers, dates, Python support and function names are taken from the GitHub README, setup.py and the PyPI release history. If we can’t verify something, we leave it out.
02
No invented credibility
We don’t publish fake download counts, made-up reviews, virus-scan badges or file hashes. Where a detail is unknown, we say so.
03
Official downloads only
Every download button points to github.com/jldbc/pybaseball or pypi.org. We never host or repackage the software.
04
Corrections are welcome
Found a mistake or an outdated step? Tell us and we will check it against the official sources and update the page.