clojupyter

What it is

Clojupyter is a Jupyter kernel for Clojure that allows developers to run Clojure code within the popular Jupyter environment. This tool bridges the gap between interactive data science workflows and Clojure programming.

Clojupyter uniquely enables the use of Clojure within Jupyter environments, providing an interactive and powerful development experience that complements existing Jupyter workflows with Clojure's capabilities.

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 community support and small user base

   The project has a relatively low number of contributors and limited activity on GitHub, which can lead to slower issue resolution and feature development.

2. 02

   Complex setup process

   Setting up Clojupyter requires configuring multiple dependencies including Jupyter, Leiningen, and specific Clojure libraries, which can be error-prone for new users.

3. 03

   Performance issues with large datasets or heavy computations

   Clojure's JVM-based nature combined with the overhead of Jupyter can lead to slower execution times and higher memory usage compared to native Python environments, especially for data-intensive tasks.

4. 04

   Limited integration with other Clojure libraries

   While Clojupyter supports running Clojure code, it may not fully integrate with all Clojure-specific tools and libraries, limiting its utility in some workflows.

What it does well

• Run Clojure code in Jupyter environments like Lab, Notebook, and Console.

• Enhances interactive development for Clojure users with the power of Jupyter.

• Supports integration with other Jupyter kernels and extensions.

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.