Replaces standard Pandas for processing large-scale datasets on multi-core systems. Scales dataframes by changing one line of code to utilize Ray or Dask backends.
Tech Stack
PythonAI, ML & Data
Why modin?
• Zero learning curve
• Multi-core utilization
• Seamless Ray integration
Limitations
• Overhead for small data
• Dependency complexity
• Inconsistent speed gains
3/5/2026
Last Update
676
Forks
709
Issues
Apache-2.0
License
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