clj-ml vs Incanter

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

clj-ml

Machine learning library for Clojure leveraging Weka and more.

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

Machine learning library for Clojure leveraging Weka and more.

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

Developers looking for a Clojure-specific library to integrate machine learning models.
Projects that require the use of Weka algorithms within a Clojure environment.
Educators and students who want to teach or learn machine learning using Clojure.

✓ 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

Teams requiring real-time streaming data processing capabilities.
Developers working in languages other than Clojure, as it is tightly integrated with the language.

✕ 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

Integration with Weka for a wide range of machine learning algorithms.
Simplified API for implementing machine learning models in Clojure.
Extensive documentation and examples.

↑ Strengths

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

Weaknesses

↓ Weaknesses

Limited language support due to Clojure-centric design
Dependence on Weka can lead to performance bottlenecks
Smaller community and limited third-party integrations

↓ Weaknesses

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