Learn BEAKERX with Real Code Examples

Updated Nov 26, 2025

Explain

Extends Jupyter notebooks with support for multiple JVM-based languages like Java, Kotlin, Groovy, and Scala, alongside Python.

Provides interactive tables, plots, and forms for rich data visualization.

Enables polyglot notebooks where multiple languages can coexist in a single notebook.

Includes enhanced widgets and tools for data analysis and experimentation.

Encourages teaching, research, and exploratory programming with multi-language support.

Core Features

Multiple language kernels in a single notebook

Interactive plotting and charting

Data table widgets for real-time manipulation

Support for advanced Jupyter magics and cell execution

Notebook sharing via standard Jupyter formats

Basic Concepts Overview

Notebook - interactive document supporting multiple languages

Cell - code block executed in a specific kernel

Kernel - execution engine for a particular language

Widget - interactive GUI element inside a notebook

Output - visual or textual result of cell execution

Project Structure

Sequential cells containing code or markdown

Cells may be in different languages

Outputs include text, tables, plots, or widgets

Notebook files saved locally or in version control

Interactive elements update dynamically in runtime

Building Workflow

Open Jupyter Notebook or Lab with BeakerX enabled

Create notebook and select desired kernel/language

Write code in cells, using widgets or plots as needed

Run cells sequentially or interactively

Save notebook in standard .ipynb format for sharing

Difficulty Use Cases

Beginner: learn Python or JVM language basics

Intermediate: create interactive visualizations or tables

Advanced: develop polyglot notebooks mixing multiple languages

Expert: prototype algorithms or educational demos

Instructor: teach programming and data analysis interactively

Comparisons

BeakerX vs Google Colab -> BeakerX: polyglot, local/hosted; Colab: Python-focused, cloud

BeakerX vs Jupyter -> BeakerX: extended languages and widgets; Jupyter: single-language default

BeakerX vs Zeppelin -> BeakerX: rich polyglot support; Zeppelin: mainly Spark notebooks

BeakerX vs Colab Pro -> BeakerX: advanced visualization/widgets; Colab: cloud GPU/TPU access

BeakerX vs Deno Playground -> BeakerX: multi-language and visualization; Deno: JS/TS scripting

Versioning Timeline

2015 - Beaker project initiated

2016 - BeakerX forked from Beaker and released

2017–2019 - Added JVM language kernels and widgets

2020–2022 - Enhanced interactive plotting and table support

2023–2025 - Continuous improvements and community contributions

Glossary

Notebook - interactive document supporting multiple languages

Cell - block of code executed in a specific kernel

Kernel - execution engine for a language

Widget - interactive GUI element

Polyglot - combining multiple languages in one notebook