Cog packages machine learning models into containers to support deployment across environments.
Open source
24 alternativesHow do Feast and Merlin compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Feast | Merlin |
|---|---|---|
| What it is | The open source Feast feature store lets teams define, manage, discover, and serve features for machine learning. | Merlin supports machine learning model management, deployment, and serving in Kubernetes environments. |
| 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 Merlin.
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.
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.
Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.