Deploy JupyterLab (w/ persistent packages)
JupyterLab with a password you choose; notebooks and pip installs persist.
JupyterLab
Just deployed
/home/jovyan
Deploy and Host JupyterLab (w/ persistent packages) on Railway
JupyterLab is the notebook editor for Python and data work. This template keeps your whole home folder on a volume, so notebooks, settings and the packages you pip install survive every redeploy, and you sign in with a password you choose on the deploy form.
About Hosting JupyterLab (w/ persistent packages)
You get JupyterLab 4.6 on Python 3.13 with pandas, NumPy, Matplotlib and scikit-learn, pinned so a redeploy never upgrades it. Type a password on the deploy form, then open the URL and sign in. Add packages with %pip install; conda installs reset on redeploy.
Common Use Cases
- Data analysis with pandas
- Machine learning experiments
- Teaching and workshops
Dependencies for JupyterLab (w/ persistent packages) Hosting
- JupyterLab (Jupyter's scipy-notebook image)
Deployment Dependencies
Implementation Details
Back up the volume: it holds every notebook and file. To change the password, edit JUPYTER_PASSWORD.
Why Deploy JupyterLab (w/ persistent packages) on Railway?
Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.
By deploying JupyterLab (w/ persistent packages) on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.
Updated 2026-10-28: first release, JupyterLab 4.6.4 (scipy-notebook 2026-10-28).
Based on the JupyterLab template by Brody.
Template Content
JUPYTER_PASSWORD
Choose the password you will sign in to JupyterLab with. Use 12 or more characters: anyone with your URL and this password can run code on your server.
