Free credit available Limited time
Available in console Data

Deploy Jupyter Data Science
in one click.

Notebooks with Python, R and Julia kernels, the tidyverse included, on a server we run for you.

Launch Jupyter Data Science Browse all 35
Recommended from 8 GB RAM, from ~$0.03/hr (EU) 6 server locations No separate app fee

+$5.00 added at signup ยท exact template preserved ยท no card

What launches

The working stack,
preconfigured.

Choose the template and a project server. Selfhost.dev provisions the host and launches the application stack as one resource.

  • JupyterLab
  • Python, R and Julia kernels
  • tidyverse and scikit-learn
  • Persistent home folder

Good fit for

Use it where
it does real work.

  • 01 R and tidyverse analysis
  • 02 Julia notebooks
  • 03 Mixed-language data science

From choice to app

A short path to
a usable deployment.

  1. 01

    Choose Jupyter Data Science

    The page opens the exact console template. Pick a server size and one of six locations, then submit.

  2. 02

    Set access

    There is no username. Paste the password you set at deploy time into the Password or token box on the sign-in page.

  3. 03

    Let it start

    The console tracks provisioning, gives the app a generated HTTPS address and shows host CPU and memory after launch.

  4. 04

    Make it yours

    Paste your password into the Password or token box. Start a notebook on the Python, R or Julia kernel.

Know before deploy

The operational details
that matter.

This is JupyterLab with the R and Julia kernels added to Python, so the image is much larger and the first boot takes longer. Your home folder persists across restarts. Project servers are CPU-only.

Capacity
Recommended from 8 GB RAM, from ~$0.03/hr (EU)
Topology
One project server
Initial address
Generated HTTPS URL
Protection
Optional whole-VM backup

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Related one-click apps.

Browse all 35
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Frequently asked questions

Is Jupyter Data Science available as a one-click template?
Yes. Jupyter Data Science is one of 35 configurations in the console's global template chooser. The marketing page links directly to that configuration.
How much does it cost to run Jupyter Data Science?
Recommended from 8 GB RAM, from ~$0.03/hr (EU). The app adds no separate fee. You pay only for the project server it runs on, by the hour against prepaid credits.
How is Jupyter Data Science different from JupyterLab?
It is the same JupyterLab with the R kernel (tidyverse included) and the Julia kernel added to Python. The image is much larger, so the console budgets 20 minutes for the first boot against 15 for JupyterLab.
How do I sign in to Jupyter Data Science?
There is no username. Paste the password you set at deploy time into the Password or token box on the sign-in page.
Can I use my own domain for Jupyter Data Science?
The app first receives a generated HTTPS address. After it is running, add one customer-owned domain from the resource Settings screen and follow the DNS instructions.
What does Selfhost.dev manage for this deployment?
Selfhost.dev provisions and maintains the project server, starts the Jupyter Data Science template and shows server CPU and memory metrics. The application and its data run on that single server; optional backups protect the whole project VM.

Exact template selected

Put Jupyter Data Science
on your own server.

The app adds no separate fee. You pay only for the project server it runs on, by the hour against prepaid credits. The console keeps this template selected through sign-up and onboarding.

Launch Jupyter Data Science