Serving and cost

servectl

Serve a model over HTTP in one command, with metrics.

0 downloads/month on PyPI

Install

pip install servectl

If you use uv, also as an isolated CLI:

uv tool install servectl

What it does

You have a model on disk and want to try it behind an HTTP endpoint without writing an app each time. servectl loads the artifact and serves it: a typed /predict, a /health check and Prometheus metrics ready to scrape.

In action

A real recorded session of the CLI running.

Read it as text

name: model
n_features: 23
predict_proba: True

$ servectl info models/model.joblib
name: model
n_features: 23
predict_proba: True

Features

—Loads scikit-learn-style joblib/pickle artifacts.
—/predict and /predict_proba with validation.
—/health and /metrics in Prometheus format.
—Clean 400 responses on bad input.

View the code on GitHub →

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