AutoGluon provides tools for automated machine learning and model development.
doddle-model
doddle-model is an in-memory machine learning library for Scala, built on Breeze with a scikit-learn-like API using typeclasses.

About doddle-model
doddle-model is an in-memory machine learning library for Scala. Fitted models can be deployed in simple applications and in concurrent or distributed systems. Training happens in memory, so it is not suited to datasets that cannot fit in RAM. The project is published for Scala 2.11, 2.12 and 2.13 and is added as an SBT dependency.
Pricing is not clearly stated.
Key features
- Built on Breeze
- Immutable estimators for parallel code
- Scikit-learn-like API in idiomatic Scala using typeclasses
- Optional breeze-natives for native library performance
doddle-model at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
doddle-model alternatives
Tools and sites you could use instead, ranked by how closely they match.
EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.
PyTorch Lightning helps pretrain and fine-tune AI models across one or many GPUs with minimal code changes.
Determined manages distributed model training, hyperparameter tuning, experiment tracking, and resources.
Knet provides a deep learning framework developed at Koç University for building models.
KerasTuner searches hyperparameters to optimize machine learning models built with Keras.
Popular in ML Training & Optimization
Well-known listings from the same topic.
doddle-model FAQ
How does doddle-model compare with Spark ML?
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.












