Side by side
Kubeflow Notebooks vs Sacred
Both stand on ml experiment tracking software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Self-hostedWeb
Choose Kubeflow Notebooks if you want free, open-source notebook environments running inside Kubernetes, with configurable resources and organization-level access control. It may be a poor fit if you need packages installed after startup to persist without using a PVC-backed directory or custom image.
Visit Kubeflow Notebooks Free plan LinuxSelf-hosted
Sacred provides experiment configuration, run logging, reproducibility controls, and several viewing integrations. Its Python focus and self-hosted setup should guide tool selection.
Visit SacredThe facts
| Kubeflow Notebooks | Sacred | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Self-hosted, Web | Linux, Self-hosted |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | kubeflow.org | github.com |
| On ml experiment tracking software | #20 of 39 | #24 of 39 |
Kubeflow Notebooks: what it does well
- Runs notebook containers inside the Kubernetes cluster.
- Supports JupyterLab, RStudio, and Visual Studio Code through code-server.
- Lets users configure CPU, RAM, storage, and optional GPUs.
- Administrators can provide images with required packages pre-installed.
- Free and open source; deployable standalone or within Kubeflow.
What to know first
- Custom notebook images must meet specific port, user, and PVC requirements.
- Packages installed outside PVC-backed directories are limited to the pod lifetime.
Sacred: what it does well
- Free MIT-licensed open-source project
- Command-line parameter changes and variants
- Observers record configuration and machine details
- Automatic seeding supports reproducibility
- Artifact tracking and API access
What to know first
- Designed for Python experiments
- No free trial is offered
- NumPy and PyMongo features are optional dependencies
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