ml.js

What it is

ml.js provides a comprehensive set of machine learning algorithms and numerical methods for both server-side and client-side applications, making it easy to integrate advanced analytics into web projects.

ml.js stands out as a versatile library that supports both client-side and server-side machine learning, making it ideal for web developers who need to integrate advanced analytics directly into their applications.

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

   Limited performance for large datasets

   ml.js is not optimized for handling very large datasets, leading to slow execution times and high memory usage.

2. 02

   Poor documentation and examples

   The official documentation lacks detailed explanations and practical examples, making it difficult for new users to understand how to use the library effectively.

3. 03

   Limited community support

   The project has a small community, resulting in limited third-party contributions and slower response times for issues and feature requests.

What it does well

• Wide range of machine learning algorithms

• Support for both Node.js and browser environments

• Numerical analysis tools included

• Extensive documentation and examples

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.