Modin

Modin is an open-source scalable DataFrame library designed to accelerate pandas workflows by distributing computations across multiple cores or nodes. It provides a seamless way to handle large datasets efficiently without changing the existing pandas API. Modin enables analysts, data scientists, and developers to speed up data processing while maintaining compatibility with pandas code.

Features of Modin:

• Accelerates pandas operations with minimal or no code changes (just replace import pandas as pd with import modin.pandas as pd).
• Built on top of execution engines like Ray and Dask for parallel and distributed computing.
• Efficiently utilizes all available CPU cores, improving performance on multi-core systems.
• Handles larger-than-memory datasets when combined with distributed computing backends.
• Fully compatible with existing pandas workflows and syntax.
• Supports integration with machine learning and data processing pipelines.
• Scalable: runs on laptops, servers, or distributed clusters with minimal changes.
• Open-source and freely available under the Apache 2.0 License, enabling customization and community contributions.

To check the version of Modin, run the following commands:
# sudo su
# sudo apt update
# cd /opt
# source /opt/modin-env/bin/activate
# pip show modin | grep Version

Disclaimer: Modin is open-source software distributed under the Apache License 2.0. It is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors of Modin are not responsible for any damages, losses, or consequences resulting from its use. Users are encouraged to review licensing terms and comply with applicable regulations when using Modin.