dl4clj

Clojure wrapper for Deeplearning4j, enabling deep learning in Clojure.

DecliningOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Cooling

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is dl4clj?

dl4clj is a Clojure library that provides a convenient interface to Deeplearning4j, allowing developers to leverage the power of deep learning within their Clojure applications. It simplifies the integration of neural networks and other machine learning models into Clojure projects.

Key differentiator

dl4clj stands out by providing a Clojure-specific interface for Deeplearning4j, making it easier for Clojure developers to leverage advanced machine learning capabilities without the need to switch to Java or another language.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Seamless integration with Deeplearning4j for deep learning tasks.medium

Simplified API for building and training neural networks in Clojure.medium

Supports a wide range of neural network architectures.medium

↓ Weaknesses

Limited community support and small user basehigh

dl4clj is a niche library with limited documentation and sparse activity on forums like Stack Overflow.

Complex setup process for integrating with Deeplearning4jmedium

Requires setting up both Clojure and Java environments, along with managing dependencies between dl4clj and Deeplearning4j versions.

Performance overhead due to interop between Clojure and Javahigh

The performance of models built using dl4clj may be slower compared to directly using Deeplearning4j in pure Java due to the additional layer of abstraction.

Limited documentation and examples for advanced use casesmedium

Documentation focuses on basic usage patterns, lacking comprehensive guides or tutorials for complex neural network architectures and optimization techniques.

Fit analysis

Who is it for?

✓ Best for

Clojure developers who need to integrate deep learning capabilities into their applications without leaving the Clojure ecosystem.

Projects that require a seamless integration between Clojure and Deeplearning4j for neural network training.

✕ Not a fit for

Developers looking for a full-stack AI solution with extensive pre-built models, as dl4clj focuses on deep learning framework integration.

Teams preferring to use Python or other languages that have more mature deep learning libraries and ecosystems.

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with dl4clj

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →