BeakerX is a collection of JVM kernels and interactive widgets for plotting, tables, autotranslation, and other extensions to Jupyter Notebook. BeakerX is in beta and under active development. The documentation consists of tutorial notebooks on GitHub. You can try it in the cloud for free with Binder. And here is the cheatsheet.
jupyter notebook sql kotlinThe dashboards layout extension is an add-on for Jupyter Notebook. It lets you arrange your notebook outputs (text, plots, widgets, ...) in grid- or report-like layouts. It saves information about your layouts in your notebook document. Other people with the extension can open your notebook and view your layouts. For a sample of what's possible with the dashboard layout extension, have a look at the demo dashboard-notebooks in this repository.
dashboard jupyter jupyter-notebook ipython dashboardsJupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter applications and interactive computing tools. The two examples below may help you get started if you have Docker installed know which Docker image you want to use, and want to launch a single Jupyter Notebook server in a container.
notebook jupyter docker jupyterhubnbdime provides tools for diffing and merging of Jupyter Notebooks. See the installation docs for more installation details and development installation instructions.
jupyterlab-extension jupyter jupyter-notebook diff diffing merge git hg mercurial mergetool merge-driver vcs version-controlJupyter nbviewer is the web application behind The Jupyter Notebook Viewer, which is graciously hosted by Rackspace. Run this locally to get most of the features of nbviewer on your own network.
jupyterJupyter Scala is a Scala kernel for Jupyter. It aims at being a versatile and easily extensible alternative to other Scala kernels or notebook UIs, building on both Jupyter and Ammonite. The current version is available for Scala 2.11. Support for Scala 2.10 could be added back, and 2.12 should be supported soon (via ammonium / Ammonite).
jupyter jupyter-notebook repl jupyter-kernelsWhile I love my job as a researcher, it doesn't exactly bring home the bacon. I mean.. it brings home some bacon... but like... not enough bacon? Right. Anyway, a colleague suggested I add an optional donation badge so users can help support projects like jupyter-themes (and the forthcoming lab-themes which will give users similar control over the look and feel of Jupyter Lab. Currently in early stages of development). I firmly believe that software is best served open and, as such, am committed to providing free and easy access to all my code. So if you can't make a financial contribution, then don't and pip install it anyway! But if you're sitting on some extra cash and enjoy using a package I've developed, then any amount helps and I greatly appreciate it.
jupyter jupyter-notebook theme css syntax-highlighting jupyter-themesAcknowledgements - This project utilizes a Go interpreter called gomacro under the hood to evaluate Go code interactively. The gophernotes logo was designed by the brilliant Marcus Olsson and was inspired by Renee French's original Go Gopher design. Important Note - gomacro relies on the plugin package when importing third party libraries. This package works reliably on Mac OS X only with Go 1.10.2+ as long as you never execute the command strip gophernotes. If you can only compile gophernotes with Go <= 1.10.1 on Mac, consider using the Docker install and run gophernotes/Jupyter in Docker.
jupyter jupyter-notebook kernel gophernotes zeromq nteract data-science machine-learning artificial-intelligence numerical-methodsHydrogen is an interactive coding environment that supports Python, R, JavaScript and other Jupyter kernels. Checkout our Documentation and Medium blog post to see what you can do with Hydrogen.
data-science jupyter ipython repl hydrogen atom jupyter-kernels nteract execute run julia torch ijulia irkernel itorch plot imagenteract is first and foremost a dynamic tool to give you flexibility when writing code, exploring data, and authoring text to share insights about the data. Edit code, write prose, and visualize.
notebook nteract data-science repl ipython jupyter jupyter-notebook desktop-application react react-components zeromq monorepo electron dataPapermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks. To parameterize your notebook designate a cell with the tag parameters.
jupyter notebooks notebook-generator nteract publishing pipelineGeoNotebook is an application that provides client/server environment with interactive visualization and analysis capabilities using Jupyter, GeoJS and other open source tools. Jointly developed by Kitware and NASA Ames. Documentation for GeoNotebook can be found at http://geonotebook.readthedocs.io.
notebook mapnik jupyter jupyter-notebook-extension tile-server opengeoscience analysisNow both R versions are available as an R kernel in the notebook. If you have Jupyter installed, you can create a notebook using IRkernel from the dropdown menu.
jupyter jupyter-notebook jupyter-kernels r zmqIPython provides a rich toolkit to help you make the most of using Python interactively. It provides a Jupyter kernel to work with Python code in Jupyter notebooks and other interactive frontends.
interpreter python-interpreter curses terminal jupyter data-science notebook replThis is the code for the article 'Turning design mockups into code with deep learning' on FloydHub's blog. Within three years deep learning will change front-end development. It will increase prototyping speed and lower the barrier for building software.
keras deep-learning seq2seq encoder-decoder lstm floydhub machine-learning cnn cnn-keras jupyter-notebook jupyterIf you want to share your data and configurations between the host (your machine or VM) and the container in which you are using Deepo, use the -v option, e.g. This will make /host/data from the host visible as /data in the container, and /host/config as /config. Such isolation reduces the chances of your containerized experiments overwriting or using wrong data.
deep-learning jupyter lasagne caffe tensorflow sonnet keras theano chainer torch pytorch mxnet cntk dockerfile-generator docker-image caffe2 onnx3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL.
ipython-widget jupyter jupyter-notebook visualisation volume-rendering virtual-reality plotting dataviz scientific-visualization webgl threejs rendering-3d-volumes quiverTo see all available Python commands, open the Command Palette and type Python. The Microsoft Python Extension for Visual Studio Code collects usage data and sends it to Microsoft to help improve our products and services. Read our privacy statement to learn more. This extension respects the telemetry.enableTelemetry setting which you can learn more about at https://code.visualstudio.com/docs/supporting/faq#_how-to-disable-telemetry-reporting.
typescript visual-studio-code editor terminal python-terminal intellisense refactorings autopep8 pylint testing rename-refactorings extract jupyter sort-imports python-3-6 scientific pydocstyle linter django unittest multi-root-readyrepo2docker fetches a git repository and builds a container image based on the configuration files found in the repository. See the repo2docker documentation for more information on using repo2docker.
docker jupyter jupyterhub
We have large collection of open source products. Follow the tags from
Tag Cloud >>
Open source products are scattered around the web. Please provide information
about the open source projects you own / you use.
Add Projects.