ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Open source
24 alternativesHow do Feast and ModelDB compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Feast | ModelDB |
|---|---|---|
| What it is | The open source Feast feature store lets teams define, manage, discover, and serve features for machine learning. | ModelDB tracks machine learning model versions, metadata, and experiments. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both Feast and ModelDB.
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Cog packages machine learning models into containers to support deployment across environments.
Sagify describes its project as a way to work with large language models and machine learning more easily.
The Hydrosphere repository describes an MLOps platform for machine learning operations.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Merlin supports machine learning model management, deployment, and serving in Kubernetes environments.