lambda-ml vs Incanter

Side-by-side — pricing, strengths, tradeoffs, and fit.

lambda-ml

Simple Clojure implementations of machine learning techniques and utilities.

Incanter

Clojure-based statistical computing and graphics platform inspired by R.

At a glance

Open SourceFree Tier
◌ Declining·From $0
Open SourceFree Tier
◌ Declining·From $0

Overview

One-liner

Simple Clojure implementations of machine learning techniques and utilities.

One-liner

Clojure-based statistical computing and graphics platform inspired by R.

Maturity

Declining

Maturity

Declining

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Clojure developers who need a lightweight and easy-to-use machine learning library for prototyping or small projects
Educators teaching the basics of machine learning using Clojure as the programming language

✓ Best for

Clojure developers who need a robust environment for statistical computing and visualization
Projects that require integration with the Clojure ecosystem while performing data analysis tasks

Not ideal for

✕ Not for

Projects requiring high-performance, large-scale ML computations that might benefit from more specialized libraries like TensorFlow or PyTorch
Developers working in languages other than Clojure who would find it difficult to integrate this library into their projects

✕ Not for

Developers looking for a web-based platform without local setup requirements
Teams preferring Python or R as their primary language for statistical computing

Strengths

↑ Strengths

Simple and concise implementations of ML algorithms
Written in Clojure for functional programming enthusiasts
Easy to integrate into existing Clojure projects

↑ Strengths

Statistical computing capabilities similar to R
Graphical visualization tools
Integration with Clojure ecosystem

Weaknesses

↓ Weaknesses

Limited language support
Small community
Limited integrations with other tools

↓ Weaknesses

Limited language support
Small community and limited third-party integrations
Performance limitations for large datasets
Full lambda-ml profile →Full Incanter profile →