doddle-model is an in-memory machine learning library for Scala, built on Breeze with a scikit-learn-like API using typeclasses.
Open source
24 alternativesPyTorch Lightning
github.com/PyTorchLightning/pytorch-lightning
ML Training & Optimization
Open-source projectOpen source
PyTorch Lightning helps pretrain and fine-tune AI models across one or many GPUs with minimal code changes.
About PyTorch Lightning
PyTorch Lightning is an open-source framework for pretraining and fine-tuning PyTorch models. It organizes PyTorch code to automate infrastructure for backpropagation, mixed precision, and multi-GPU and distributed training, while users define model logic with a LightningModule and run training with a Trainer.
It scales from CPU to multi-node GPUs without changing core code and includes Lightning Fabric for more granular control. It can run on own hardware or cloud infrastructure, and LitServe is listed for building custom inference servers in Python.
Key features
- Automate backpropagation, mixed precision, and distributed training setup
- Define model systems with LightningModule and train with Trainer
- Scale from CPU to multi-node GPUs without changing core code
- Use Lightning Fabric for granular, expert-level control
- Build custom inference servers in Python with LitServe
- Run on own hardware or cloud infrastructure
Best for: PyTorch users who pretrain and fine-tune models and want less repetitive training infrastructure code.
Good for
- Open-source code available via GitHub repository
- Automates repetitive training infrastructure while retaining model logic control
- Runs on own hardware or cloud and scales from CPU to multi-node GPUs
PyTorch Lightning at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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PyTorch Lightning FAQ
How do I install Lightning?
Install with pip install lightning, pip install lightning['extra'] for optional dependencies, or conda install lightning -c conda-forge.
What are the two core packages?
PyTorch Lightning for training and deploying PyTorch at scale, and Lightning Fabric for expert control.
Can I use PyTorch Lightning without Lightning Cloud?
Yes, it can run on your own hardware or cloud.
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