| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · ML Experiment Tracking Software | 7.7 (#12) | 6.5 (#33) |
| Installation | The annotated implementations collection can be installed with `pip install labml-nn`. | The README says Sacred can be installed from PyPI using pip or installed from its Git repository. |
| License | The LabML repository provides its software under the MIT License, which states that it is provided without warranty. | The project is released under the MIT license. |
| Purpose | LabML is an open-source platform for monitoring deep learning experiments and hardware usage. | Sacred helps configure, organize, log, and reproduce computational experiments. |
| Support | The LabML app page lists contact email [email protected]. | The README directs usage questions to Stack Overflow under the python-sacred tag and invites bug reports and feature requests through GitHub issues. |