ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Open source
24 alternativesHow do Kitaru and Hydrosphere compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Kitaru | Hydrosphere |
|---|---|---|
| What it is | Kitaru provides agent traces that teams can run and inspect during application workflows. | The Hydrosphere repository describes an MLOps platform for machine learning operations. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both Kitaru and Hydrosphere.
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.
DJL is a Java framework for running deep learning models across different engines.
ModelDB tracks machine learning model versions, metadata, and experiments.
dstack coordinates AI compute and supports training and inference across GPU clouds, Kubernetes, VMs, and bare metal.
Flexible, high-performance serving system for machine learning models.