PyCaret

PyCaret replaces hundreds of lines of code with a few commands, enabling quick model comparison and selection across multiple algorithms, as shown in the functional API quickstart example.

It supports end-to-end workflows for classification, regression, time series, clustering, and anomaly detection, covering the complete pipeline from data prep to deployment.

Training on GPUs is enabled with a simple use_gpu parameter in setup, accelerating algorithms like XGBoost and LightGBM, though it requires additional installations for some models.

Offers both functional and object-oriented APIs, allowing users to choose their preferred coding style, as demonstrated in the classification examples with separate code snippets.