datamass-io/ml-kraken

Machine-Learning orchestration framework. Cloud-based models management environment.

27
/ 100
Experimental

This tool helps data scientists and machine learning engineers manage and deploy their R, Spark, or Python machine learning models as network services in the cloud. You input your trained models, and it outputs easily accessible, scalable, and versioned REST services that other systems can query in real-time. It's designed for individuals or teams who need to operationalize multiple models efficiently.

No commits in the last 6 months.

Use this if you need a centralized platform to deploy, monitor, and scale multiple machine learning models as services, making them accessible to other applications or systems.

Not ideal if you only have one or two models to manage or prefer on-premise solutions over cloud-based deployments.

Machine Learning Operations Model Deployment Cloud Computing Data Science Workflow Real-time Analytics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 15 / 25

How are scores calculated?

Stars

8

Forks

5

Language

TypeScript

License

Last pushed

Jan 09, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mlops/datamass-io/ml-kraken"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.