Modin is an open-source Python library designed to accelerate and scale data analysis workflows. It acts as a high-performance replacement for pandas, enabling users to process large datasets efficiently by utilizing all available CPU cores or distributed computing environments. With Modin, existing pandas code can be executed faster by simply changing one import line.

Features of Modin:

• Seamlessly accelerates existing pandas workflows with minimal code changes.
• Uses parallel and distributed engines such as Ray and Dask to scale processing across multiple cores or clusters.
• Provides a familiar pandas-compatible API so most code does not need rewriting.
• Supports large-scale data analysis that would be slow or infeasible with standard pandas.
• Integrates with modern data science workflows for faster exploration, transformation, and analysis of structured data.

Check Modin version:

python -c "import modin; print(modin.__version__)"