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the portable Python dataframe library
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
State of the Art Natural Language Processing
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
Lightweight and extensible compatibility layer between dataframe libraries!
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.