Free credit available Limited time
Available in console Data

Deploy JupyterLab
in one click.

Python notebooks with numpy, pandas and scikit-learn ready to import, on a server we run for you.

Launch JupyterLab 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
  • numpy, pandas and SciPy
  • matplotlib and scikit-learn
  • Persistent home folder

Good fit for

Use it where
it does real work.

  • 01 Data analysis notebooks
  • 02 Machine learning experiments
  • 03 Teaching and workshops

From choice to app

A short path to
a usable deployment.

  1. 01

    Choose JupyterLab

    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. numpy, pandas, SciPy, matplotlib and scikit-learn are already installed.

Know before deploy

The operational details
that matter.

The first boot pulls a large scientific Python image. Your home folder persists across restarts, including packages you add with pip install --user. Project servers are CPU-only, so notebooks run without a GPU.

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

Also in the catalog

Related one-click apps.

Browse all 35
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DevOps

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Frequently asked questions

Is JupyterLab available as a one-click template?
Yes. JupyterLab 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 JupyterLab?
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.
Which Python libraries does JupyterLab come with?
numpy, pandas, SciPy, matplotlib and scikit-learn are installed. Packages you add with pip install --user live in your home folder and persist across restarts.
How do I sign in to JupyterLab?
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 JupyterLab?
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 JupyterLab 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 JupyterLab
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 JupyterLab