clearml/clearml-serving

ClearML - Model-Serving Orchestration and Repository Solution

67
/ 100
Established

This tool helps machine learning engineers and data scientists easily deploy their trained machine learning and deep learning models for real-world use. It takes your pre-trained models (like Scikit-learn, TensorFlow, PyTorch, or ONNX) and associated preprocessing/postprocessing code, and deploys them as a live service that can process new data requests. The result is a robust, scalable, and continuously available model serving endpoint.

161 stars. Available on PyPI.

Use this if you need to quickly and reliably get your machine learning models from training into production, handling ongoing predictions with features like auto-scaling and monitoring.

Not ideal if you are looking for a tool to train models or manage the entire machine learning experiment lifecycle, as this focuses specifically on the deployment phase.

MLOps Model Deployment Real-time Inference Machine Learning Engineering Deep Learning Operations
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 22 / 25

How are scores calculated?

Stars

161

Forks

51

Language

Python

License

Apache-2.0

Last pushed

Mar 12, 2026

Commits (30d)

0

Dependencies

2

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

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