Dask
Parallel computing with Python
⭐ 4.3/5 (2500 reviews)
About Dask
Dask is a flexible parallel computing library for Python that scales pandas, NumPy, and scikit-learn workflows to multi-core machines and distributed clusters.
Key Features
- Parallel DataFrames
- Distributed computing
- Task scheduling
- Dashboard
- NumPy arrays
- ML scaling
✅ Pros
- Scales pandas naturally
- Familiar API
- Flexible
- Open source
❌ Cons
- Not as fast as Spark
- Memory management
- Debugging complexity
Ad Space (728x90)