ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Open source
24 alternativesHow do Hydrosphere and Sagify compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Hydrosphere | Sagify |
|---|---|---|
| What it is | The Hydrosphere repository describes an MLOps platform for machine learning operations. | Sagify describes its project as a way to work with large language models and machine learning more easily. |
| 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 Hydrosphere and Sagify.
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
The Feast repository describes an open source feature store for AI and machine learning projects.
Cog packages machine learning models into containers to support deployment across environments.
ModelDB tracks machine learning model versions, metadata, and experiments.
Flexible, high-performance serving system for machine learning models.
Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.