5 ms·

Beaker Notebook v1.0 released – open-source polyglot data science web app

19 points by spot 12y ago

spot 12y ago
the easiest way to run it is via the docker container: https://registry.hub.docker.com/u/beakernotebook/beaker/ https://registry.hub.docker.com/u/beakernotebook/beaker/
smhx 12y ago
Can someone familiar compare and contrast it with iPython Notebook (which also has support for any language/package that writes an ipython kernel plugin)
- spot 12y ago
  yes. contrast: 1) Beaker is language neutral from the ground-up, and not only can you mix languages, they can communicate. IPython does not have good support for multiple languages in the same notebook. And the backend is still pretty python-specific. Jupyter is working to address this, but I don't know how far along they are or how far they are going to take it. 2) Beaker UI has some nice new features: eg hierarchical sections that you can open and close, and one-click sharing. 3) Beaker is highly configurable and extensible via plug-in APIs so you or your organization can add your own languages, media types, security and authentication protocols, data sources, formats, menus, etc, and not have to worry about merging when a new version comes out. 4) Beaker has a great R backend. 5) Beaker is hiring! See http://www.twosigma.com/careers/position/936.html http://www.twosigma.com/careers/position/936.html and http://www.twosigma.com/careers/position/935.html http://www.twosigma.com/careers/position/935.html compare: 1) Both have the same notebook and cell document metaphor. 2) Both are Open Source. 3) Both are great tools that I love.
  - jchendy 12y ago
    It's perhaps also worth noting that Beaker's Python evaluator is an IPython kernel. So anybody who's familiar with IPython can continue using their favorite %% magics, etc. Also, Beaker can import IPython notebooks, so it's easy to try it out and see the UI differences for yourself in the context of your actual work.
crocop271 12y ago
So cool!

5 ms·

Beaker Notebook v1.0 released – open-source polyglot data science web app

19 points by spot 12y ago

spot 12y ago
the easiest way to run it is via the docker container: https://registry.hub.docker.com/u/beakernotebook/beaker/ https://registry.hub.docker.com/u/beakernotebook/beaker/
smhx 12y ago
Can someone familiar compare and contrast it with iPython Notebook (which also has support for any language/package that writes an ipython kernel plugin)
- spot 12y ago
  yes. contrast: 1) Beaker is language neutral from the ground-up, and not only can you mix languages, they can communicate. IPython does not have good support for multiple languages in the same notebook. And the backend is still pretty python-specific. Jupyter is working to address this, but I don't know how far along they are or how far they are going to take it. 2) Beaker UI has some nice new features: eg hierarchical sections that you can open and close, and one-click sharing. 3) Beaker is highly configurable and extensible via plug-in APIs so you or your organization can add your own languages, media types, security and authentication protocols, data sources, formats, menus, etc, and not have to worry about merging when a new version comes out. 4) Beaker has a great R backend. 5) Beaker is hiring! See http://www.twosigma.com/careers/position/936.html http://www.twosigma.com/careers/position/936.html and http://www.twosigma.com/careers/position/935.html http://www.twosigma.com/careers/position/935.html compare: 1) Both have the same notebook and cell document metaphor. 2) Both are Open Source. 3) Both are great tools that I love.
  - jchendy 12y ago
    It's perhaps also worth noting that Beaker's Python evaluator is an IPython kernel. So anybody who's familiar with IPython can continue using their favorite %% magics, etc. Also, Beaker can import IPython notebooks, so it's easy to try it out and see the UI differences for yourself in the context of your actual work.
crocop271 12y ago
So cool!