Mandala

What it is

Mandala is an experiment tracking framework that integrates persistence logic and best practices directly into Python, making it easier to manage and track machine learning experiments.

Mandala stands out by integrating persistence logic directly into Python, making it a lightweight yet powerful tool for managing ML experiments without the need for external services.

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 issues at scale

   Users have reported slow performance when tracking a large number of experiments concurrently

What it does well

• Integrates persistence logic directly into Python code.

• Simplifies experiment tracking for machine learning projects.

• Follows best practices for managing experiments.

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.