Strengths
- Interoperates with NumPy and SciPy for efficient numerical array operations.
- Provides a consistent API across various machine learning algorithms.
- Open-source with community contributions since 2007.
- Supports both supervised and unsupervised learning tasks.
- Available via package managers on Debian/Ubuntu, Arch Linux, and Alpine Linux.
Limitations
- Some core algorithms are implemented in Cython or as wrappers, which can limit extensibility in pure Python.
- Requires Python 3.10 or newer for recent versions.