Sacred
5.4#29 in ml experiment tracking softwareLinuxSelf-hosted
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| Fact | Sacred | Weights & Biases |
|---|---|---|
| Integrations | The README describes a Neptune integration that logs Sacred experiments through an observer. | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. |
| Reproducibility | Automatic seeding helps control randomness so experiment results remain reproducible. | W&B records experiment histories, code, hyperparameters and datasets so teams can reproduce models and track their evolution. |
| Support | The README directs usage questions to Stack Overflow under the python-sacred tag and invites bug reports and feature requests through GitHub issues. | Support tiers are Standard, Standard Plus and Premium; Premium adds 24/7 coverage, faster response targets, roadmap sessions and engineering access. |
No prices published.
You want what its maker publishes above — check its page for the details.
It suits AI developers working on model training, fine-tuning, AI applications, or production monitoring. The free tier may fit smaller projects, while larger teams should note the stated Pro-to-Enterprise transition guideline.