Project Jupyter provides a suite of powerful tools and open standards for interactive computing across various fields. If you’re curious about exploring these tools, you can easily try Jupyter Notebook Online and other applications directly in your web browser, thanks to mybinder.org, a public service dedicated to the Jupyter community. This page offers interactive demos to get you started immediately.
Explore Jupyter Applications Online
The Jupyter team has developed several user-friendly applications designed to streamline interactive computing workflows. Below, you’ll find an overview of these applications, along with links to try them out. If you find one that suits your needs, you can find detailed installation instructions here for local use.
It’s worth noting that some of these online environments are powered by JupyterLite, an innovative project that delivers a fully functional Jupyter experience within your browser. As JupyterLite is still under active development, you might encounter occasional bugs. Your patience and feedback reported to the JupyterLite repository are highly appreciated.
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JupyterLab
The latest web-based interactive development environment for Jupyter.
](https://jupyter.org/try-jupyter/lab?path=notebooks%2FIntro.ipynb)
JupyterLab is the next-generation interface for Jupyter, offering a flexible and extensible environment for notebooks, code, and data. Try JupyterLab online to experience its powerful features for data science, scientific computing, and more.
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Jupyter Notebook
The classic web application for creating and sharing computational documents.
](https://jupyter.org/try-jupyter/notebooks/?path=notebooks/Intro.ipynb)
Jupyter Notebook is the original web-based interface, renowned for its simplicity in creating and sharing documents that combine live code, equations, visualizations, and narrative text. Launch the Jupyter Notebook demo online and see why it’s a favorite among educators and data scientists.
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JupyterLite
JupyterLite: A fully client-side Jupyter, running in the browser with WebAssembly.
](https://jupyterlite.github.io/demo)
Experience the future of Jupyter with JupyterLite. This remarkable project lets you run Jupyter directly in your browser, entirely client-side, opening up new possibilities for lightweight and portable interactive computing.
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Jupyter Widgets
Interactive HTML widgets for exploring data within Jupyter notebooks.
](https://ipywidgets.rtfd.io/en/latest/try/lab/index.html?path=Widget%20List.ipynb)
Enhance your Jupyter Notebooks with interactive controls using Jupyter Widgets. These HTML widgets allow for dynamic exploration of data and parameters directly within your notebook environment. Test Jupyter Widgets online to see how they can bring your notebooks to life.
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Voilà
Transform notebooks into interactive dashboards for sharing insights.
](https://mybinder.org/v2/gh/voila-dashboards/voila/stable?urlpath=voila%2Ftree%2Fnotebooks)
Voilà empowers you to convert your Jupyter Notebooks into standalone web applications and dashboards. This is ideal for sharing your data insights with a broader audience in an engaging and interactive format. Try Voilà online to see how easily you can create shareable dashboards from your notebooks.
Explore Different Kernels Online
Jupyter’s versatility extends to supporting any programming language through its kernel system. Kernels are the computational engines that execute code within Jupyter interfaces. Below are interactive demos showcasing Jupyter with a variety of languages. You can also find a community-maintained list of Jupyter kernels here to discover even more languages supported by Jupyter.
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C++
Discover how to use Jupyter with C++.
](https://mybinder.org/v2/gh/jupyter-xeus/xeus-cling/stable?filepath=notebooks/xcpp.ipynb)
Explore the power of C++ within the interactive Jupyter environment. This demo allows you to run C++ code directly in a Jupyter Notebook online, opening doors for high-performance computing and data analysis.
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Julia
Explore Jupyter with Julia for high-performance numerical computing.
](https://mybinder.org/v2/gh/binder-examples/demo-julia/HEAD?filepath=demo.ipynb)
Julia is a rising star in scientific computing, known for its speed and elegance. Try the Julia kernel online for Jupyter and experience its capabilities for data analysis, machine learning, and more.
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GNU Octave
Utilize Jupyter with GNU Octave, a high-level language for numerical computations.
GNU Octave is a powerful open-source alternative to MATLAB. This online demo lets you use GNU Octave within Jupyter Notebook, perfect for numerical computations and algorithm development.
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R
Use Jupyter with R for statistical computing and data visualization.
](https://mybinder.org/v2/gh/binder-examples/r/HEAD?filepath=index.ipynb)
R is a leading language for statistical computing and graphics. Try Jupyter with the R kernel online to leverage its vast ecosystem of packages for data analysis and visualization.
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Ruby
Learn how to use Jupyter with Ruby for data analysis and more.
](https://mybinder.org/v2/gh/RubyData/binder/HEAD?filepath=ruby-data.ipynb)
Ruby, known for its readability and flexibility, can also be used within Jupyter. This demo shows you how to use the Ruby kernel in Jupyter for various tasks, including data manipulation and analysis.
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Scheme
Explore Jupyter with Calysto Scheme, a dialect of Lisp.
For those interested in Lisp dialects, Jupyter supports Scheme through the Calysto Scheme kernel. Try this demo online to explore symbolic computation and functional programming within the Jupyter environment.
In conclusion, trying Jupyter Notebook online is incredibly easy and accessible thanks to these interactive demos. Whether you are interested in Python, R, Julia, or other languages, and whether you want to use classic Notebooks or the more advanced JupyterLab, you can get started right away in your browser. Explore the links above and begin your journey with interactive computing today!
