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Archive of Beaker Notebook

The last release of Beaker Notebook was v1.7.1. This archive includes development past that, and into the first stages of BeakerX, as you can see below.

BeakerX: Beaker extensions for Jupyter

Build Status Gitter chat

BeakerX is a collection of JVM kernels with widgets, plotting, tables, autotranslation, and other extensions to the Jupyter Notebook and Jupyter Lab. BeakerX is in alpha, with major features still under development and refactorings and incompatible changes. This is true despite our previous stable releases up to version 1.7.1 because BeakerX has a whole new architecture based on Jupyter, whereas the previous releases were an independent application, Beaker Notebook. You could think of BeakerX as Beaker Notebook 2.0, and this transition is not yet complete. Feedback and advice on how to best complete this process is very welcome.

Dependencies

  • oracle Java8 JDK
  • npm, bower, webpack
  • conda

Build and run

conda create -y -n beakerx python=3.5 jupyter pandas
source activate beakerx
./gradlew --no-daemon build
./gradlew --no-daemon kernelInstall
./gradlew --no-daemon :beakerx:install
pip install -e .
python -m beaker.install --enable --prefix="${CONDA_PREFIX}"
jupyter notebook

Update after Java change

Ther kernels are installed to run out of the repo, so just a build should update the java code.

  • ./gradlew build

Update after JS change

  • cd beakerx/js; webpack

Beaker Notebooks Converter

python -m bkr2ipynb *.bkr

Groovy with Interactive Plotting and Table Saw:

screen shot 2016-12-20 at 11 35 17 am

Autotranslation from Python to JavaScript:

screen shot 2016-12-10 at 10 43 22 pm

Contributing

We welcome developers to extend and improve BeakerX in ways that can benefit everyone. In order for us to accept your code or pull request, we need for you to fill out and email back to us a scan of a signed copy of the Contributor License Agreement.

Attribution

The kernel is originally derived from https://github.com/lappsgrid-incubator/jupyter-groovy-kernel, but has been rewritten in Java and refactored and expanded. The Java support uses Adrian Witas' org.abstractmeta.toolbox.

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  • Java 51.2%
  • Jupyter Notebook 30.8%
  • JavaScript 14.9%
  • Python 1.3%
  • ANTLR 1.1%
  • CSS 0.3%
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