Data Pipelines

clj-boost

Wrapper for XGBoost in Clojure

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0
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What it is

clj-boost is a Clojure wrapper around the popular machine learning library XGBoost, providing developers with an easy-to-use interface to leverage powerful gradient boosting algorithms.

clj-boost stands out as the only Clojure-specific wrapper for XGBoost, offering a streamlined experience for developers looking to leverage gradient boosting within their Clojure projects.

When it fits — and when it doesn’t

A good fit for

  • Clojure developers looking to integrate gradient boosting algorithms into their applications without leaving the Clojure ecosystem.

  • Projects that require a seamless integration of machine learning with existing Clojure codebases.

Look elsewhere if

  • Developers who prefer working in languages other than Clojure

  • Teams requiring real-time model training and inference capabilities

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited community support and activity

    Low number of contributors and infrequent updates on GitHub

  2. 02

    Performance overhead due to inter-language communication

    Clojure-to-Python interface can introduce latency in model training and prediction

  3. 03

    Dependence on XGBoost's Python API for advanced features

    Advanced functionalities require understanding of both Clojure and Python, limiting accessibility

  4. 04

    Complex setup process for non-Clojure developers

    Requires setting up a Clojure environment along with XGBoost's dependencies in Python

What it does well

  • Easy integration with XGBoost for Clojure users

  • Simplified API for gradient boosting algorithms

  • Comprehensive 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.

Performance benchmarks

How Fast Is It?

Set up clj-boost

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →