Deploy Jupyter Tensorflow on Your Own Server
Jupyter Notebook with built in Tensorflow and Keras for your data analysis and machine learning work
Want to deploy Jupyter Tensorflow on your server faster? Try Senate with one-command setup, automatic HTTPS and monitoring.
What is Jupyter Tensorflow?
JupyterLab is the next-generation user interface for Project Jupyter.
Self-Host Jupyter Tensorflow
Follow these steps to deploy on your own server.
Install Docker
Skip this step if Docker is already installed on your server.
curl -fsSL https://get.docker.com | sh
Configure
Customize the settings below. Defaults work for most cases.
Deploy
Copy the configuration and run it on your server.
services:
jupyter_tensorflow:
environment:
JUPYTER_ENABLE_LAB: yes
RESTARTABLE: yes
volumes:
- jupyter_tensorflow:/home/jovyan/
volumes:
jupyter_tensorflow: {}
Then run:
docker compose up -d
Access
Once started, access your app at http://localhost:8888
Why Self-Host Jupyter Tensorflow?
Full Data Ownership
Your data stays on your servers. No third-party access.
No Monthly Fees
Pay only for your server. No per-seat or usage charges.
Complete Control
Customize, backup, and scale on your own terms.
Privacy & Compliance
Meet GDPR, HIPAA, or internal security requirements.
Technical Details
Want to go faster?
Try Senate! Senate handles Docker, HTTPS, updates, and monitoring for you. Deploy any of our 300+ apps with a single command.
Install on any Linux server:
sh -c "$(curl -sSL https://get.senate.sh)"