awesome-mlops/awesome-ml-serving

A curated list of awesome open source and commercial platforms for serving models in production 🚀

34
/ 100
Emerging

This list compiles tools and platforms designed to help machine learning engineers deploy their trained models so they can be used by other applications or end-users. It covers solutions for taking a developed ML model (like a recommendation engine or an image classifier) and making it accessible through an API or a user interface. This is for machine learning engineers, MLOps specialists, or data scientists responsible for moving models from development to production.

No commits in the last 6 months.

Use this if you are a machine learning engineer looking for a tool or platform to serve your trained ML models in a production environment.

Not ideal if you are looking for resources on how to train machine learning models or want general MLOps practices beyond model serving.

MLOps Model Deployment Machine Learning Engineering Production AI API Development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 10 / 25

How are scores calculated?

Stars

48

Forks

5

Language

License

Apache-2.0

Last pushed

Apr 20, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mlops/awesome-mlops/awesome-ml-serving"

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