DVCLive vs LUML Flow
DVCLive
dvc.org
LUML Flow
luml.aiSide by side
| Figure | DVCLive | LUML Flow |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| API | Yes | — |
| Plans published | 1 | 0 |
| Spec score · ML Experiment Tracking Software | 7.8 (#10) | 7.0 (#27) |
| Framework integrations | The supported ML frameworks listed include Fast.ai, Hugging Face, Keras, LightGBM, MMCV, Optuna, PyTorch, PyTorch Lightning, Scikit-learn, TensorFlow, XGBoost, and Ultralytics YOLO v8. | Flow names scikit-learn, XGBoost, LightGBM, CatBoost, LangGraph, PyTorch, TensorFlow, JAX, and Keras among supported frameworks. |
| Purpose | DVCLive is a Python API module for logging machine learning parameters, metrics, artifacts, images, and plots. | Flow is a live experiment tracker for predictive ML and generative AI. |
| Support | DVC directs users to its Discord community, GitHub issues, and forum for help and feedback. | The Flow page links to documentation and offers a request-demo link. |