Dask
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A drop-in replacement for pandas that scales data analysis workflows to use all CPU cores and handle out-of-memory datasets.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A GPU-accelerated DataFrame library for tabular data processing, part of the RAPIDS data science suite.
A suite of GPU-accelerated machine learning algorithms with scikit-learn compatible APIs for 10-50x faster performance on large datasets.
A Python package for working with labeled multi-dimensional arrays, inspired by pandas and tailored for scientific data.
A Python package that automatically accelerates pandas and Modin DataFrame apply operations by choosing the fastest available method.
An open-source Python library for low-code data preparation, offering fast EDA, data cleaning, and collection from APIs and databases.
A Python library for agile data preparation workflows that works with Pandas, Dask, cuDF, Dask-cuDF, Vaex, and PySpark.
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