Juno Connect: Jupyter Client 17+

Cloud Coding/Programming IDE

Rational Matter

Designed for iPad

    • $9.99



Juno Connect is a client app for Jupyter, a cloud-based computational environment. Juno Connect lets you leverage the computing power of a remote Jupyter server right from your iPhone or iPad.

With Juno Connect you can:

• Connect to cloud-computing services, such as CoCalc, Binder, SageMaker, Gradient or NAAS
• Add and configure your own remote Jupyter servers
• Leverage SSH tunneling with local port forwarding for secure connections
• Take full advantage of your keyboard and trackpad in our full-featured code editor
• Utilise full multitasking capabilities on iPad

When you run code in Juno Connect, the actual computing is happening on a remote Jupyter server, giving you access to virtually unlimited computational resources from your iPhone or iPad. You can either connect to your own Jupyter server — directly via HTTP/HTTPS, or by establishing an SSH tunnel with local port forwarding — or use cloud computing services, such as CoCalc, Binder, SageMaker, Gradient or NAAS. And if you would rather execute code on device instead, check out our other app Juno, it lets you work with Jupyter notebooks autonomously on your iPhone or iPad.

Juno Connect offers a full-featured notebook and code editor, providing a complete development environment on your iPad or iPhone. it supports Dark Mode and Dynamic Type, offers extended on-screen keyboard and works beautifully with all hardware keyboards and trackpads. Juno Connect lets you reach your Jupyter server easily and securely with SSH tunnel using local port forwarding. You can launch Juno Connect in Split-screen mode alongside other apps on iPad — run notebooks with documentation, terminal, or other code editor in front of you.


Jupyter is an interactive cloud-based computational environment, where you can combine code execution, rich text, mathematics, plots and rich media. It works with Jupyter notebooks, a computational document format that allows storing live code, markdown text, plots, images and equations in LaTeX — all wrapped into a single notebook file.

Notebook documents keep record of all inputs and outputs of the interactive programming session, and the rich output generated by running R, Python or Julia scripts (including HTML, images, video, and plots) is embedded into the Jupyter notebook document. They are especially convenient if you are coding in Python for data analysis, machine learning, or computational science in general.

A notebook consists of a sequence of cells, each representing either a narrative text in a form of markdown text or HTML, or a coding script with a text or media output. This makes notebooks both human-readable documents with the analysis description and the results (figures, tables, etc), as well as executable scripts for data analysis or plain programming. You can use Jupyter notebook as a document with optional executable code in it, or simply as a programming playground for data manipulation and experiments.

Jupyter supports countless programming languages, including Python, R, Julia, and Scala. Jupyter lets you leverage big data tools, such as Apache Spark, from Python, R, and Scala — or explore that same data with pandas, scikit-learn, ggplot2, PyTorch and TensorFlow. And, of course, Juno Connect lets you use whichever language kernels and libraries are installed on your Jupyter server right on your iPhone or iPad.

What’s New

Version 1.6.13

This release fixes several issues related to keyboard and scrolling.

Ratings and Reviews

4.7 out of 5
582 Ratings

582 Ratings

Remmy909 ,

Fantastic app, very easy setup

I’m a data science grad student and this app has been super useful and fun to use when I am bored of using my laptop. The developer’s setup instructions are very straightforward and I was able to set up and connect to a remote VM with a Jupyter instance running using a Digital Ocean droplet in a matter of minutes. I also was able to setup a connection to my own laptop, but dislike having to launch/shutdown the server and prefer the constant access of the remote server. It’s great to have those options. The app has been very reliable for me so far. Thanks and keep up the great work!!

usernamewastaken1123 ,

Works reliably

*Original review:*
Hard to find any good documentation. What is within the app as well as on the faqs and docs pages online is not helpful. I found my way through by creating new connections until I felt like I understood how things work. But deleting and editing current connections appears to be impossible, so I had to reinstall the app to clean up the interface.

But once you get it working it will be quite reliable.

After about two weeks, I was contacted by a developer. There is a way to delete and edit existing servers: either swipe the servers list or view connection details. Finding documentation of this is still difficult.

Because I was directly contacted and notified that my issue was a matter of ignorance, I changed the review from 3 stars to 4 stars. I would move the to 5 stars if I could easily find the Juno documentation describing precisely how to edit or delete servers. The documentation is the worst part of this app. I wish that it was just one big, comprehensive pdf so that ctrl-f could solve my problems instantly.

I have had no other issues with this app. Once set up, the app is a pleasure to use. Browser-based notebooks are a thing of the past on this iPad.

Developer Response ,

Hey 👋, you should be able to delete connections by swiping it in the servers list, which will reveal a 'Delete' button; alternatively, you can delete existing server configurations while viewing/editing connection details. Please reach out to help@juno.sh if you can't get your connection to work — we will also see how we can improve our docs further, thanks for reporting. 🙃

MTB in Durham ,

Very good for what it is, would love more Lab integration

As a simple Jupyter notebook client, this works extremely well, and re-connects well to my notebook server after having a period of no activity, which has been an unexpected constant hurdle to doing real work on my new iPad Pro.

I hope that the developer continues to do work on this and push towards more full Jupyter Lab integration, because I’m now starting to lean towards running Lab in a browser to get some of the more advanced features (including its very good Python text editor and git integration). I would love to see Juno work well as a more robust and native front end to that, even though I understand that Lab is still pretty new and complex.

App Privacy

The developer, Rational Matter, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Usage Data
  • Diagnostics

Privacy practices may vary, for example, based on the features you use or your age. Learn More


  • Family Sharing

    Up to six family members can use this app with Family Sharing enabled.

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