BeakerX’s table widget automatically recognizes pandas dataframes and allows you to search, sort, drag, filter, format, select, graph, hide, pin, and export to CSV or clipboard. This makes connecting to spreadsheets quick and easy.
With a single click, convert the current notebook’s contents including any interactive widgets to a Github gist. A new tab opens nbviewer on it, including the active widgets. This is a link you can send anyone.
How is BeakerX related to Beaker Notebook?
BeakerX is the successor to Beaker Notebook. After seeing the demo of Jupyter Lab at SciPy 2016 we realized that Jupyter had become extensible enough that much of what made Beaker special could be done in the Jupyter ecosystem.
The result of joining forces with Jupyter is a more powerful tool for our users, and a larger community of developers and users that continues to grow. Jupyter users benefit by getting access to our work as well. And we benefit by leveraging shared infrastructure so we can focus on adding value.
It has taken about a year to port Beaker’s key features to become extensions to Jupyter, and we are very excited to finish this transition and release the results with a new name “BeakerX” that represents both our history and how large a change this is.
What about classic Beaker’s polyglot and autotranslation features?
Beaker Notebook (before BeakerX) is known for supporting polyglot programming, and for autotranslating data between languages. This feature has been the most difficult to fit into Jupyter, and it’s going to take longer to get working.
Can I install BeakerX with pip instead of conda?
Yes, see the instructions. Our documentation focuses on conda for simplicity.
Can I use BeakerX on win32?
Win32 is not supported because OpenJDK on Conda Forge doesn’t support it. Win64 is recommended. But if you install a JDK on your own, it should work.
Can I be informed of new releases?
Who is responsible for BeakerX?
Tutorials and Examples
Most of the documentation consists of notebooks that show BeakerX’s kernels and widgets in action.
Installation with Conda
conda create -y -n beakerx 'python>=3' source activate beakerx conda install -y -c conda-forge ipywidgets conda install -y -c conda-forge beakerx
Installation for Jupyter Lab
BeakerX support for Jupyter Lab is still alpha quality. You can try it as follows:
conda create -y -n labx 'python>=3' source activate labx conda install -y -c conda-forge jupyterlab beakerx jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter labextension install beakerx-jupyterlab
If you have an environment with a previous version of BeakerX, to upgrade to the latest version use:
conda update -c conda-forge beakerx
Start Jupyter with
and then use the “New” menu to create a notebook in the language of your choice.
Installation with Pip
You can also install BeakerX with pip.
pip install beakerx beakerx-install
Running with Docker
Docker is the most reliable way get and run Jupyter and BeakerX since it’s completely self contained.
docker run -p 8888:8888 beakerx/beakerx
Beaker Notebooks Converter
You can convert classic Beaker Notebook files (with file suffix “.bkr”) to Jupyter Notebooks (with file suffix “.ipynb”) as follows:
Building and Contributing
We welcome developers to extend and improve BeakerX in ways that can benefit everyone. Please see the README for more information.