EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.
AutoGluon
vsdoddle-model
AutoGluon vs doddle-model
How do AutoGluon and doddle-model compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | AutoGluon | doddle-model |
|---|---|---|
| What it is | AutoGluon provides tools for automated machine learning and model development. | doddle-model is an in-memory machine learning library for Scala, built on Breeze with a scikit-learn-like API using typeclasses. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both AutoGluon and doddle-model.
Open source
24 alternativesPyTorch Lightning helps pretrain and fine-tune AI models across one or many GPUs with minimal code changes.
Open source
24 alternativesDetermined manages distributed model training, hyperparameter tuning, experiment tracking, and resources.
Open source
24 alternativesKnet provides a deep learning framework developed at Koç University for building models.
OpenMetricLearning provides metric learning pipelines, models, and a model zoo.
Open source
24 alternativesFEDOT automates machine learning model development through its modeling framework.
Open source
24 alternatives






