Dask

Dask enables users to scale their data processing workflows. It allows for handling larger-than-memory datasets with ease.

Key Features

• Scalable data processing
• Parallel computing capabilities
• Easy integration with existing Python libraries
• Dynamic task scheduling
• Supports both cloud and local environments

Pros

• Free and open-source
• Ideal for large datasets
• Strong community support
• Flexible architecture for various workflows

Cons

• Steeper learning curve for beginners
• Limited built-in visualization tools
• Performance may vary with different workloads
• Requires careful tuning for optimal performance