lambda-ml

What it is

Lambda-ML offers concise and straightforward implementations of various machine learning algorithms in Clojure, making it a valuable tool for developers looking to integrate ML into their applications without complex setup processes.

Lambda-ML stands out as a lightweight and easy-to-use machine learning library specifically for Clojure developers, offering simplicity without sacrificing the ability to implement core ML algorithms.

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 language support

   Lambda-ML is primarily written in Clojure, which may limit its accessibility and integration for developers not familiar with or comfortable using Clojure.

2. 02

   Small community

   Due to the niche nature of Clojure and Lambda-ML, there might be limited resources, tutorials, and support available compared to more popular ML frameworks like TensorFlow or PyTorch.

3. 03

   Limited integrations with other tools

   Lambda-ML may lack extensive integration capabilities with other data processing and machine learning libraries outside the Clojure ecosystem, which could limit its utility in diverse tech stacks.

What it does well

• Simple and concise implementations of ML algorithms

• Written in Clojure for functional programming enthusiasts

• Easy to integrate into existing Clojure projects

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.