| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · ML Experiment Tracking Software | 7.7 (#12) | 7.1 (#25) |
| Experiment tracking | The platform tracks metrics and experiment details including hyperparameters and Git commits. | Oríon stores trials in a configured database and offers experiment versioning to track trials and their parameters for reproducibility. |
| Installation | The annotated implementations collection can be installed with `pip install labml-nn`. | The installation guide directs users to install Oríon from PyPI with pip install orion. |
| License | The LabML repository provides its software under the MIT License, which states that it is provided without warranty. | The project documentation says Oríon is licensed under the BSD license. |
| Purpose | LabML is an open-source platform for monitoring deep learning experiments and hardware usage. | Oríon is an asynchronous framework for black-box function optimization, including hyperparameter optimization for machine learning. |
| Support | The LabML app page lists contact email [email protected]. | The project directs users to report questions, issues, bugs, or feature suggestions through its GitHub issue tracker. |