Access Jupyter notebook running on Docker container
PythonDockerJupyter NotebookPython Problem Overview
I created a docker image with python libraries and Jupyter.
I start the container with the option -p 8888:8888, to link ports between host and container.
When I launch a Jupyter kernel inside the container, it is running on localhost:8888 (and does not find a browser). I used the command jupyter notebook
But from my host, what is the IP address I have to use to work with Jupyter in host's browser ?
With the command ifconfig, I find eth0, docker, wlan0, lo ...
Thanks !
Python Solutions
Solution 1 - Python
You need to run your notebook on 0.0.0.0: jupyter notebook -i 0.0.0.0. Running on localhost make it available only from inside the container.
Solution 2 - Python
Host machine: docker run -it -p 8888:8888 image:version
Inside the Container : jupyter notebook --ip 0.0.0.0 --no-browser --allow-root
Host machine access this url : localhost:8888/tree
When you are logging in for the first time there will be a link displayed on the terminal to log on with a token.
Solution 3 - Python
The docker run command is mandatory to open a port for the container to allow the connection from a host browser, assigning the port to the docker container with -p, select your jupyter image from your docker images.
docker run -it -p 8888:8888 image:version
Inside the container launch the notebook assigning the port you opened:
jupyter notebook --ip 0.0.0.0 --port 8888 --no-browser --allow-root
Access the notebook through your desktops browser on http://localhost:8888 The notebook will prompt you for a token which was generated when you create the notebook.
Solution 4 - Python
To get the link to your Jupyter notebook server:
After your docker run command, a hyperlink should be automatically generated. It looks something like this: http://localhost:8888/?token=f3a8354eb82c92f5a12399fe1835bf8f31275f917928c8d2 :: /home/jovyan/work
If you want to get the link again later down the line, you can type docker exec -it <docker_container_name> jupyter notebook list.
Solution 5 - Python
The below is how I get it running on Windows 7 with docker toolbox.
If you are using docker toolbox, open up the Docker quickstart terminal, and note the IP here:
docker is configured to use the default machine with IP 192.168.99.100
For help getting started, check out the docs at https://docs.docker.com
Once you run the docker commands from the tensorflow installation website:
docker pull tensorflow/tensorflow # Download latest image
docker run -it -p 8888:8888 tensorflow/tensorflow # Start a Jupyter notebook server
You will receive a message like this:
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://127.0.0.1:8888/?token=d6e80acaf08e09853dc72f6b0f022b8225f94f
In the host, replace 127.0.0.1 with 192.168.99.100 and use the rest of that URL
Solution 6 - Python
You can use the command jupyter notebook --allow-root --ip[of your container] or give access to all ip using option --ip0.0.0.0.
Solution 7 - Python
As an alternative to building your own Docker image, you can also use the ML Workspace image. The ML Workspace is an open-source web IDE that combines Jupyter, VS Code, a Desktop GUI, and many other tools & libraries into one convenient Docker image. Deploying a single workspace instance is as simple as:
docker run -p 8080:8080 mltooling/ml-workspace:latest
All tools are accessible from the same port and integrated into the Jupyter UI. You can find further documentation here.
Solution 8 - Python
In the container you can run the following to make it available on your local machine (using your docker machine's ip address).
jupyter notebook --ip 0.0.0.0 --allow-root
You may not need to provide the --allow-root flag depending on your container's setup.
Solution 9 - Python
docker run -i -t -p 8888:8888 continuumio/anaconda3 /bin/bash -c "/opt/conda/bin/conda install jupyter -y --quiet && mkdir /opt/notebooks && /opt/conda/bin/jupyter notebook --notebook-dir=/opt/notebooks --ip='*' --port=8888 --no-browser --allow-root"
i had to add --allow-root to the command and now its running
Solution 10 - Python
The Makefile below encapsulates the previous answers and ensures that jupyter and docker agree on the port. And if I just click/copy the link provided by jupyter, that solves port mismatch problems.
To use, just make jupyter or make jupyter PORT=xxxx from the proper folder. Then click the link in the jupyter output.
Remote Containers
If your container is on a remote host (say an AWS EC2), then you'll also need to set up an ssh tunnel with the correct port. For example, on the local machine:
ssh -N -f -L localhost:8888:localhost:8888 username@remote-host
But at least that's only one place I can manually mismatch ports.
Makefile
# Set your default jupyter port here.
# Avoid 8888 if you run local notebooks on that!
PORT=8888
# Your app root in the container.
APP_DIR=/app
# The docker image to launch. *** SET TO YOUR image:version! ***
APP_TAG=image:version
jupyter: ##
## Launch jupyter notebook from our container, mapping two folders
## Local Container Notes
## -----------------------------------------------------
## ./data -> /data Put data here!
## ./notebooks -> /notebooks Find notebooks here!
## -----------------------------------------------------
## Arg: PORT - specify port [${PORT}]
docker run \
-p $(PORT):$(PORT) \
-v $(PWD)/notebooks/:$(APP_DIR)/notebooks/ \
-v $(PWD)/data:/data \
$(APP_TAG) \
jupyter notebook --ip 0.0.0.0 --port $(PORT) \
--no-browser --allow-root
Solution 11 - Python
Go in the Docker and check cat /etc/jupyter/jupyter_notebook_config.py :
- You should see / add this line :
c.NotebookApp.allow_origin = 'https://colab.research.google.com'