One-click Jupyter notebooks in the cloud.
Python, R, and Julia ready.

Jupyo is the #1 Jupyter hosting service for teams. Persistent file system, shared team folder, and no runtime limits.

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A Tour Of Jupyo

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Ready out of the box

Upon signup, Jupyo provisions a dedicated virtual machine for you and your team with the latest Jupyter Lab as well as a variety of common packages for Python, R, and Julia, so you can run computations and visualize your data and results right away.

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Persistent file system

Jupyo's file system is persistent, so your data and notebooks stay in your drive for as long as you want. And the file system lives alongside your virtual machine, reducing network latency to nearly zero.

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Shared folders

Every Jupyo team gets a dedicated shared folder in addition to user folders, so team members can instantly share data and notebooks with each other. Like the user file system, shared folders are also persistent.

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Networking and external data

Jupyo's virtual machines have direct access to the internet, so you can download and upload external data as well as access virtually any API right from your notebooks.

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Terminal access

Need to use git, or custom CLI tools? No problem. Jupyo gives unrestricted access to the OS via Jupyter Lab's terminal tab. And no need to worry about affecting your teammates: Every user gets an isolated container, so your installed packages and development environment don't propagate to other users.

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Support

We want 100% customer satisfaction. In addition to our risk-free 7 day free trial, we offer expedited support for our customers through online chat and email, so you never lose important time with your code and data.

Spend more time with your data, less with infrastructure.

Your time is valuable. Let us worry about servers, package conflicts, and shared file systems so you and your team can get back to real business.

Customers

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“At Beta Technologies we needed an online solution to share and analyze flight test data with our team of Pythonistas. Jupyo solves this problem with a familiar Jupyter environment, fully managed by their service so our engineers can focus on flight data, not cloud servers.”

—Chris Townsend, Beta Technologies

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5% Back to Open Source

We are firm believers in open source software (OSS), without which Jupyo would not be possible. Our "5% back" program returns our profits to the community that helped build the service, and ensures the continuity of OSS software like Jupyter and others.

Frequently Asked Questions

Jupyo is a Jupyter hosting service for data-driven teams that need a persistent, dependable, and scalable platform with built-in data storage for both quick and long-running analyses.

Jupyo gives teams a dedicated instance without "runtime limits", as well as a persistent file system, so your data and notebooks persist across sessions, and never gets reset upon "timeout".

Jupyo works especially well for teams: Each team gets a low-latency shared folder, so users from the same team can seamlessly share data and notebooks with each other.

Lastly, we are firm believers in open source software (OSS), and are committed to giving back to the community. Jupyo's "5% back" program ensures the continuity of OSS by returning a generous portion of our profits back to the projects that enabled our existence.

Shared folders are file systems that live on your team's virtual machine, enabling team members to instantly share data and notebooks with other members. These shared folders appear and behave like a regular folder (called "Shared") in the root of your Jupyter file browser, and are readable and writeable by everyone in your team.

Every user on Jupyo gets an isolated Docker container, and all packages are installed inside this container. Therefore, you are free to remove, add, and/or modify any aspect of your development environment without affecting your teammates.

Jupyo leverages the powerful Jupyter Docker stacks in order to provide a comprehensive out-of-the-box setup for data-driven teams. At the moment we provision a variety of packages for Python, such as Pandas, Numpy, Matplotlib, Scipy, etc, as well as packages for R like Tidyverse, Plyr, etc, and for Julia like Gadfly and RDatasets.

Additionally, Jupyo does not restrict which additional packages you can install, so if the out-of-the-box setup is not enough, you can always use the built-in terminal to add any other packages you may need.

Get your dedicated Jupyter instance today.

From individual to team plans with data and notebook sharing, Jupyo is the #1 hosting solution for Jupyter notebooks.

Individual

$19/ month

  •   1 user
  •   Dedicated container
  •   Persistent file system
      Terminal access
      No runtime limits





  Sign up for 7-day trial
Team

$99/ month

  •   Up to 5 users
  •   Dedicated VM with:
    2 CPU cores
    7.5 GB RAM
    100 GB SSD
  •   Persistent file system
      Terminal access
      No runtime limits
  •   Team shared folder

  Sign up for 7-day trial
Custom

Custom

  •   Unlimited users
  •   Dedicated VM with:
    Up to 96 CPU cores
    Up to 624 GB RAM
    Up to 64 TB SSD
  •   Persistent file system
      Terminal access
      No runtime limits
  •   Team shared folder
      Up to 8 NVIDIA GPUs
  Sign up for 7-day trial

Try Jupyo free for 7 days.

Get your Jupyter environment up and running in a few minutes.