Ludwig

What it is

Ludwig is an open-source deep learning toolbox that allows users to train and test machine learning models using a simple YAML configuration file, eliminating the need for extensive coding knowledge.

Ludwig stands out as an open-source, no-code deep learning platform that simplifies the process of building and testing machine learning models through simple configuration files.

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 with large datasets

   Training models on very large datasets can be slow and resource-intensive, impacting productivity

What it does well

• No-code deep learning model training and testing

• Uses YAML configuration files for defining models

• Supports a wide range of data types including images, text, and numerical values

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.