Whylogs

What it is

Whylogs is an open-source library that enables developers to log and monitor their machine learning models' performance. It provides a robust way to track changes in data distributions over time, which is crucial for maintaining model reliability.

Whylogs stands out as an open-source tool that provides a simple yet powerful way to log and monitor ML models' performance without the need for heavy infrastructure.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Performance overhead in large-scale data logging

   Logging at scale can introduce significant latency and resource usage

What it does well

• Data logging for ML models

• Monitoring of data distribution changes

• Integration with various storage backends

• Lightweight and easy to integrate into existing pipelines

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.