modin
A drop-in replacement for pandas that scales data analysis workflows to use all CPU cores and handle out-of-memory datasets.
What is modin?
Modin is a drop-in replacement for the pandas library that instantly speeds up data analysis workflows by scaling computations to use all CPU cores. It solves the performance limitations of single-threaded pandas, particularly on larger datasets where pandas becomes slow or runs out of memory. Modin maintains high API compatibility with pandas, allowing users to switch with minimal code changes.
Data scientists, data engineers, and analysts who use pandas for data manipulation and analysis but face performance bottlenecks with large datasets or multi-core systems.
Developers choose Modin because it provides effortless scalability and significant performance improvements for existing pandas code without requiring rewrites or deep knowledge of parallel computing. Its multi-engine support and out-of-core capabilities make it uniquely suited for handling large-scale data efficiently.
Overview
Modin: Scale your Pandas workflows by changing a single line of code
Use Cases
Best For
- Speeding up existing pandas workflows on multi-core machines
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