1.dask / dask
Parallel computing with task scheduling
+22 stars
from 13,922 · score 3.14
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11 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
2.NVIDIA / cudf
cuDF - GPU DataFrame Library
+22 stars
from 9,765 · score 3.14
3.narwhals-dev / narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
+22 stars
from 1,723 · score 3.14
4.Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
+19 stars
from 1,280 · score 3.00
5.pydata / xarray
N-D labeled arrays and datasets in Python
+15 stars
from 4,204 · score 2.77
6.pytroll / satpy
Python package for earth-observing satellite data processing
+8 stars
from 1,207 · score 2.20
7.capitalone / datacompy
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
+7 stars
from 657 · score 2.08
8.dask / distributed
A distributed task scheduler for Dask
+2 stars
from 1,693 · score 1.10
9.LDO-CERT / orochi
The Volatility Collaborative GUI
+2 stars
from 277 · score 1.10
10.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
11.hi-primus / optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
+1 stars
from 1,534 · score 0.69