The Pandas ecosystem today centers on four fronts: DataFrame ergonomics, I/O performance, groupby and aggregation, and integration with the PyData stack. These Pandas experts collectively cover all of them.
| Avatar | Name | GitHub | Notable Contributions† |
|---|---|---|---|
 |
Adam Rose | @adamerose | PandasGUI contributor |
 |
Damien Farrell | @dmnfarrell | pandastable contributor |
 |
Doris Lee | @dorisjlee | lux contributor |
 |
Jason Carpenter | @jmcarpenter2 | Maintains swifter |
 |
Aki Ariga | @chezou | tabula-py contributor |
 |
Shay Palachy-Affek | @shaypal5 | pdpipe contributor |
 |
Kevin Sheppard | @bashtage | pandas-datareader contributor |
 |
S. Andrew Sheppard | @sheppard | django-rest-pandas contributor |
 |
Cedric Zhuang | @jealous | Maintains stockstats |
 |
Sebastian Raschka | @rasbt | biopandas contributor |
 |
Diego Fernández Giraldo | @aiguofer | gspread-pandas contributor |
 |
Otto Fajardo | @ofajardo | pyreadr contributor |
 |
Aapo Rista | @aapris | Pandas developer and practitioner |
† Not a ranking — order is unrelated to skill or seniority.
Together, these Pandas experts shape the project's roadmap and surrounding ecosystem.
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