mlwatch 0.1.0

Lightweight ML monitoring — drift, performance, data quality, and alerts in one library

mlwatch

Lightweight ML monitoring — drift detection, performance tracking, data quality, and alerts in one library.

Install

pip install mlwatch

Quickstart

import mlwatch
import numpy as np
import pandas as pd

monitor = mlwatch.Monitor(name="my_model")

result = monitor.log(
    reference=train_data,
    current=new_data,
    y_true=y_true,
    y_pred=y_pred,
)

print(result.to_dict())

Features

• Drift Detection (KS test, PSI, Mean Shift)
• Performance Monitoring (accuracy, F1, AUC, MAE, RMSE)
• Data Quality (nulls, outliers, schema)
• Alerts (webhook, custom callbacks)
• History storage (SQLite)

Why mlwatch?

	mlwatch	Evidently	WhyLogs
Simple API	✅	❌	❌
Lightweight	✅	❌	❌
JSON output	✅	❌	❌
No setup	✅	❌	❌