1.dask / dask
Parallel computing with task scheduling
+89 stars
from 13,855 · score 4.50
Trending repositories
Ranked by Attention Score: stars gained over the last 90 complete days
11 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
2.NVIDIA / cudf
cuDF - GPU DataFrame Library
+78 stars
from 9,709 · score 4.37
3.narwhals-dev / narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
+57 stars
from 1,688 · score 4.06
4.pydata / xarray
N-D labeled arrays and datasets in Python
+44 stars
from 4,175 · score 3.81
5.Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
+44 stars
from 1,255 · score 3.81
6.dask / distributed
A distributed task scheduler for Dask
+20 stars
from 1,675 · score 3.04
7.pytroll / satpy
Python package for earth-observing satellite data processing
+19 stars
from 1,196 · score 3.00
8.capitalone / datacompy
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
+12 stars
from 652 · score 2.56
9.LDO-CERT / orochi
The Volatility Collaborative GUI
+5 stars
from 274 · score 1.79
10.hi-primus / optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
+4 stars
from 1,531 · score 1.61
11.jmcarpenter2 / swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
+1 stars
from 2,629 · score 0.69