LabML vs LUML Flow
LabML
labml.ai
LUML Flow
luml.aiSide by side
| Figure | LabML | LUML Flow |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | — |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 0 | 0 |
| Spec score · ML Experiment Tracking Software | 7.7 (#12) | 7.0 (#27) |
| Framework integrations | LabML documentation lists sample integrations for FastAI, Keras, and PyTorch Lightning. | Flow names scikit-learn, XGBoost, LightGBM, CatBoost, LangGraph, PyTorch, TensorFlow, JAX, and Keras among supported frameworks. |
| Purpose | LabML is an open-source platform for monitoring deep learning experiments and hardware usage. | Flow is a live experiment tracker for predictive ML and generative AI. |
| Support | The LabML app page lists contact email [email protected]. | The Flow page links to documentation and offers a request-demo link. |