I want to access notebook server remotely via a web browser, the following shows how did I setup my notebook server:
1.generate config file
$ jupyter-notebook --generate-config
$ cd ~/.jupyter
2.Use the following command to create the SSL certificate(Linux and Windows).
req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem
3.edit the profile's configuration file, which is the jupyter_notebook_config.py the password has been generated..
c = get_config()
# You must give the path to the certificate file.
c.NotebookApp.certfile = u'/home/azureuser/.jupyter/mycert.pem'
# Create your own password as indicated above
c.NotebookApp.password = u'sha1:b86e933199ad:a02e9592e5 etc... '
# Network and browser details. We use a fixed port (9999) so it matches
# our Azure setup, where we've allowed :wqtraffic on that port
c.NotebookApp.ip = '*'
c.NotebookApp.port = 9999
c.NotebookApp.open_browser = False
4.start $ jupyter-notebook server
You should now be able to access your Jupyter Notebook at the address https://[PUBLIC-IP-ADDRESS]:9999.
Start notebook:
$ ~ jupyter-notebook
[I 16:46:58.627 NotebookApp] Serving notebooks from local directory: /home/user
[I 16:46:58.627 NotebookApp] 0 active kernels
[I 16:46:58.627 NotebookApp] The Jupyter Notebook is running at: https://SERVER_IP:9999/
[I 16:46:58.627 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
But, when I open my browser(at my home, the notebook server is in my lab) at https://MY_SERVER_IP:9999, the page can not be open. And Chrome-browser returns:
ERR_ADDRESS_UNREACHABLE
What should I do?
Those instructions you followed are a bit dated specifically:
Anaconda is at version 4.
Jupyter comes pre-installed with new Anaconda
Jupyter defaults to port "8888"
You should mention how to get to the modifications you note for the configuration. I ended up going into nano to do it.
You can't use "sudo" with conda.
If you want to install Ipython notebook from scratch on a VPS, and access it via ssh I wrote an updated tutorial here:
https://www.digitalocean.com/community/tutorials/how-to-set-up-a-jupyter-notebook-to-run-ipython-on-ubuntu-16-04
After installing and running Ipython Notebook using command line on the server, you can connect to the notebook using SSH tunnelling with Putty (on windows) or the ssh -L command on Unix-like systems (ie Mac and Linux)
The corresponding port 9999 is block on the server, and the server is Centos7 and iptables is not available to open ports, so use firewall-cmd to active the port:
$ firewall-cmd --zone=public --add-port=9999/tcp --permanent
$ firewall-cmd --reload
If firewallD is not running, just start the service.
Related
I'm trying to launch Jupyter notebook from a Docker container and the localhost just won't run on my browser.
Here's my script to run jupyter notebook
#!/bin/bash
# Usage:
# ./run_jupyter.sh [image]
#
# Parameters:
# image - optional. A custom image to use instead of default. If it is given,
# we will not attemp to pull the latest image. This allows local image development.
#
# Container will be removed upon exit, but any jupyter settings and pakcages installed with
# pip install --user are kept in mlcourse.ai/home folder.
# Remove them if you need a completely fresh image.
#
IMAGE=${1:-festline/mlcourse_ai}
#custom port
PORT=4545
# If we are called without a parameter to specify a new image,
# let's make sure we are on the latest image
if [ $# -eq 0 ]; then
echo "Will check for the latest image on the docker hub."
docker pull $IMAGE
fi
exec docker run --rm -u $(id -u):$(id -g) -v "$PWD:/notebooks" -w /notebooks -e HOME=/notebooks/home -p $PORT:8888 $IMAGE jupyter-notebook --NotebookApp.ip=0.0.0.0 --NotebookApp.password_required=False --NotebookApp.token='' --NotebookApp.custom_display_url="http://localhost:$PORT"
# this allows for container to be created and persisted.
# which means that you can keep the changes you made,
# i.e. if you installed more software with pip.
#
# USER_ID=$(id -u) GROUP_ID=$(id -g) GROUP_NAME=$(id -gn) exec docker-compose -f docker/docker-compose.yaml up
When I run the script, this is what it shows on my terminal
[W 07:14:08.593 NotebookApp] All authentication is disabled. Anyone who can connect to this server will be able to run code.
[I 07:14:08.629 NotebookApp] JupyterLab extension loaded from /opt/conda/lib/python3.6/site-packages/jupyterlab
[I 07:14:08.629 NotebookApp] JupyterLab application directory is /opt/conda/share/jupyter/lab
[C 07:14:08.631 NotebookApp] Running as root is not recommended. Use --allow-root to bypass.
The complete output I get when I run the script is:
[W 03:18:04.430 NotebookApp] All authentication is disabled. Anyone who can connect to this server will be able to run code.
[I 03:18:04.631 NotebookApp] JupyterLab extension loaded from /opt/conda/lib/python3.6/site-packages/jupyterlab
[I 03:18:04.631 NotebookApp] JupyterLab application directory is /opt/conda/share/jupyter/lab
[I 03:18:04.635 NotebookApp] Serving notebooks from local directory: /notebooks
[I 03:18:04.635 NotebookApp] The Jupyter Notebook is running at:
[I 03:18:04.636 NotebookApp] http://localhost:4545/
[I 03:18:04.636 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 03:18:04.658 NotebookApp] No web browser found: could not locate runnable browser.
So what I did was copy "http://localhost:4545/" above and paste it into the address box in my browser, and presto a Jupyter notebook comes listing the contents of the directory.
Hope this is useful.
I'm not sure why you're running it as root...
I'm running a jupyter notebook inside an ubuntu 16.04 docker container, as a non-root user, with SSL configured via a .pem file. My issue is, I can't perform the jupyter notebook stop $port command to stop the running server.
I start the notebook by executing sudo HOME=/home/seiji -u seiji jupyter notebook to change the HOME environment variable (which is chown'd as seiji).
I can perform the usual jupyter notebook list command by running it as the user (seiji) and feeding in the JUPYTER_RUNTIME_DIR environment variable where jupyter looks for json files containing server info. For example: sudo JUPYTER_RUNTIME_DIR=/jupyter/runtime -u seiji jupyter notebook list correctly returns:
https://localhost:8888/ :: /jupyter/notebooks (I specify the runtime dir in the config file in the usual way).
My issue is, I can't figure out how to execute jupyter notebook stop 8888 in a similar way. If I run it as is, it runs as root and tells me There are no running servers. If I run it as user:seiji, I run into SSL issues. As in:
> sudo JUPYTER_RUNTIME_DIR=/jupyter/runtime -u seiji jupyter notebook stop 8888
returns an error. It begins: Shutting down server on port 8888 ... but then prints the following:
SSL Error on 10 ('::1', 8888, 0, 0): [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:645)
My guess is that it tries a 'http' address to access the server instead of 'https', but I can't figure out how to change this.
I've also tried passing the environment variable JUPYTER_CONFIG_DIR which contains the config file listing the location of the .pem file with the line c.NotebookApp.certfile = u'/jupyter/certs/mycert.pem'. I've also tried explicitly feeding in the location of the cert when running from cmdline with --certfile=[location] but it seems this is ignored. Does anyone have any ideas?
This can happen if your certificate cannot be verified by whichever SSL libraries are used by Jupyter (I think the details have changed a bit over time). This is common if there certificate is self-signed - the default certificate stores may not be able to verify your issuer. I currently do something like this with my Jupyter setup script:
cat mycert.crt | openssl x509 -inform DER >> "$(python -c 'import certifi; print(certifi.where())')"
I believe if you already have the certificate in PEM form then you only need:
cat mycert.pem >> "$(python -c 'import certifi; print(certifi.where())')"
and then start it like this:
SSL_CERT_FILE=$(python -c 'import certifi; print(certifi.where())') jupyter notebook &
and stop similarly:
SSL_CERT_FILE=$(python -c 'import certifi; print(certifi.where())') jupyter notebook stop
The reason I use the certifi location and environment variable is that certifi appears to be the most-favoured package, and the environment setting appears to be respected by other libraries (including requests and built-in SSL modules).
The reason to also start the server with this updated file is so that notebooks can themselves connect to the server (e.g. for introspection).
I have been launching Jupyter Notebook for years using the following command:
jupyter-notebook --port=7000 --no-browser --no-mathjax
When I try to open the jupyter on the browser it ask me for a password, even though I have never set any before.
It is important to note that If I do set the port to a value different than 7000 (eg., the default 8888) the interface will open with no problem
I am running jupyter locally, and on the following setup:
Python 3.5.2
With the following modules installed:
jupyter (1.0.0), jupyter-client (4.4.0), jupyter-console (5.0.0), jupyter-core (4.2.1), ipykernel (4.5.2), ipython (5.1.0), ipython-genutils (0.1.0), nbconvert (4.3.0), nbformat (4.2.0), notebook (4.3.0)
NOTE: I have no jupyter configurations file
Following are some of the output lines from the server:
[I 19:16:24.358 NotebookApp] Serving notebooks from local directory: /Users/my_user_name
[I 19:16:24.358 NotebookApp] 0 active kernels
[I 19:16:24.358 NotebookApp] The Jupyter Notebook is running at: http://localhost:7000/?token=aa0dab6e2d85766f3e2e4f0f6633e4473db56a56c94cac76
[I 19:16:24.358 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
And follwing are messages after I try to open it on the browser (using port 7000)
[I 19:21:56.848 NotebookApp] 302 GET /tree (::1) 8.46ms
[D 19:21:56.857 NotebookApp] Using contents: services/contents
[D 19:21:56.919 NotebookApp] Path base/images/favicon.ico served from /usr/local/lib/python3.5/site-packages/notebook/static/base/images/favicon.ico
[D 19:21:56.920 NotebookApp] Path components/jquery-ui/themes/smoothness/jquery-ui.min.css served from /usr/local/lib/python3.5/site-packages/notebook/static/components/jquery-ui/themes/smoothness/jquery-ui.min.css
[D 19:21:56.922 NotebookApp] Path components/jquery-typeahead/dist/jquery.typeahead.min.css served from /usr/local/lib/python3.5/site-packages/notebook/static/components/jquery-typeahead/dist/jquery.typeahead.min.css
[D 19:21:56.923 NotebookApp] Path style/style.min.css served from /usr/local/lib/python3.5/site-packages/notebook/static/style/style.min.css
[D 19:21:56.925 NotebookApp] Path auth/css/override.css served from /usr/local/lib/python3.5/site-packages/notebook/static/auth/css/override.css
[D 19:21:56.926 NotebookApp] Path components/es6-promise/promise.min.js served from /usr/local/lib/python3.5/site-packages/notebook/static/components/es6-promise/promise.min.js
[D 19:21:56.926 NotebookApp] Path components/requirejs/require.js served from /usr/local/lib/python3.5/site-packages/notebook/static/components/requirejs/require.js
[D 19:21:56.933 NotebookApp] Path base/images/logo.png served from /usr/local/lib/python3.5/site-packages/notebook/static/base/images/logo.png
[D 19:21:56.934 NotebookApp] 200 GET /login?next=%2Ftree (::1) 80.86ms
[D 19:21:57.001 NotebookApp] Path custom.css served from /usr/local/lib/python3.5/site-packages/notebook/static/custom/custom.css
[D 19:21:57.003 NotebookApp] 304 GET /custom/custom.css (::1) 3.11ms
[D 19:21:57.341 NotebookApp] Path auth/js/main.min.js served from /usr/local/lib/python3.5/site-packages/notebook/static/auth/js/main.min.js
[D 19:21:57.344 NotebookApp] 200 GET /static/auth/js/main.min.js?v=20161219191623 (::1) 3.57ms
At this point there is a page from jupyter asking me to insert a password I have never set before.
SOLVED!
With latest update of notebook module (4.3.1) the problem has been solved.
Once the jupyter notebook is launched the user is prompted to paste a URL into the browser at the first connection:
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:7000/?token=32be0f5ee74cfe521187bc479855ce8b9fbab9e8021701c9
This solved the problem!
The following is very unsafe, but you can remove the password completely with:
jupyter notebook --ip='*' --NotebookApp.token='' --NotebookApp.password=''
Without --NotebookApp.password='', when connecting from a remote computer to a local Jupyter launched simply with:
jupyter notebook --ip='*'
it still asks for a password for security reasons, since users with access can run arbitrary Python code on the server machine!
Note that on my machine, running just:
jupyter notebook
already opens a logged-in window on my browser, and stdout contains:
To access the notebook, open this file in a browser:
file:///home/ciro/.local/share/jupyter/runtime/nbserver-3286-open.html
Or copy and paste one of these URLs:
http://localhost:8888/?token=7c9265bf9df5f57cf5da88f410a71b097e2548ae375826b7
or http://127.0.0.1:8888/?token=7c9265bf9df5f57cf5da88f410a71b097e2548ae375826b7
so if your browser is not opening automatically, you can try one of those links, which seem to have a login token on them, and then investigate why your browser is not opening automatically.
Tested on Jupyter 4.4.x, Ubuntu 18.04.
How to avoid "Invalid credentials" by disabling jupyter Notebook Password & Token
First open Anaconda Prompt
Enter the command jupyter notebook --generate-config
From jupyter directory ,edit the jupyter_notebook_config.py
made changes into the following command
c.NotebookApp.token = ''
c.NotebookApp.password = u''
c.NotebookApp.open_browser = True
c.NotebookApp.ip = 'localhost'
Now launch the jupyter notebook from anaconda navigator definitely the problem will be resolved as soon..
If you are trying to run from docker without password just use CMD like bellow:
CMD ["jupyter", "notebook", "--no-browser","--NotebookApp.token=''","--NotebookApp.password=''"]
Notebook 4.3.0 has enabled login security by default. The token to enter in the password field is printed in the output of the notebok server during startup (or can be included directly in the URL)
The Jupyter Notebook is running at: http://0.0.0.0:8888/?token=f3e7fa23fb7e347ad05914368b625416b7a95a674dc078f7
See http://jupyter-notebook.readthedocs.io/en/latest/security.html#server-security for more info, including disabling the feature.
However, this would not explain why you get the password prompt when running on one port but not on another
You can first create a jupyter config file with:
cd ~/.jupyter
jupyter notebook --generate-config
Then set the c.NotebookApp.token parameter to an empty string in the configuration file created
c.NotebookApp.token = ''
As mentioned in comment, Setting to an empty string disables authentication altogether, which is NOT RECOMMENDED.
The same issue occured on my machine since the last update of the jupyter-notebook package. After installing version
jupyter-notebook-4.3.0-1-any.pkg.tar.xz
it prompted me for a password I never set.
Downgrading to
jupyter-notebook-4.2.3-1-any.pkg.tar.xz
worked for me keeping the system a productive environment. Of course this is just a fast patch.
I also wondered where the password was set since I don't have an explicit config file in my .jupyter-folder. Setting up my own with
password_required=False
made no difference.
For me, the solutions described above was not applicable in Docker.
The following solution works like a charm on Linux:
Details:
used image: tensorflow/tensorflow:latest-py3-jupyter
password I configured: 'password'
run Jupyter as a user (not root)
Steps to start Jupyter in Docker with your pre-defined password:
export JUPYTER_TOKEN='password'
docker run -it --rm -p 8888:8888 -u $(id -u ${USER}):$(id -g ${USER}) -e JUPYTER_TOKEN=$JUPYTER_TOKEN -v /home/<user>/jupyter:/tf/ tensorflow/tensorflow:latest-py3-jupyter
open http://localhost:8888 and use 'password' as your password
save password in ypur browser
For me, that is the easiest way to get rid of the annoying token authentication.
I solved the token authentication by replacing the password inside jupyter_notebook_config.json by running jupyter notebook password on the command line:
(base) C:\WINDOWS\system32>jupyter notebook list
http://localhost:8888/ :: C:\Users\320089053
http://localhost:8889/ :: C:\Users\320089053
(base) C:\WINDOWS\system32>jupyter notebook list
Enter password:
Verify password:
[NotebookPasswordApp] Wrote hashed password to C:\Users\320089053\.jupyter\jupyter_notebook_config.json
If you are trying to run from docker, there are different ways how u can disable authentication
If it is a simple docker run , we can try like this
docker run -p 8888:8888 jupyter/minimal-notebook:57f8546c0386 start-notebook.sh --NotebookApp.token=''
If we are building an image with jupyter/minimal-notebook as base image,
Create a custom-start.sh file
jupyter notebook --allow-root --no-browser --ip=0.0.0.0 --port=8888 --NotebookApp.token='' --NotebookApp.password=''
Add the below lines in docker file
COPY custom-start.sh /usr/local/bin/ RUN chmod +x
/usr/local/bin/custom-start.sh CMD ["custom-start.sh"]
If it is a docker-compose file
version: '3.8'
services:
some_name:
ports: ['8888:8888'] # docker run -p option
image: jupyter/minimal-notebook:57f8546c0386
command: start-notebook.sh --NotebookApp.token=''
This answer is just to summarize what others said and give my two cents on the token thing discussed in the other answers.
What happened to the OP is a password for Jupyter instances is set -- somewhere -- in his environment. (He either set it directly or indirectly, it doesn't matter...in my case, I'm pretty sure I intentionally set it back in the days and then forgot about it.) The situation is a jupyter notebook instance that can not be used because password is unknown/lost/forgot.
There are two ways to do it permanently:
Change the password using Jupyter cli:
$ jupyter notebook password
I tried to set an empty password here but apparently Jupyter does not allow that, something is generated for you if you don't fill it.
Edit your Jupyter config1. In particular, I wanted Jupyter to stop asking for a passwork/token:
I substituted the NotebookApp-token value I had in my jupyter_notebook_config.json for an empty string:
$ cat ~/.jupyter/jupyter_notebook_config.json
{
"NotebookApp": {
"token": ""
}
}
That's it. Now, whenever a new instance of jupyter notebook comes up you should NOT be asked for a password or token.
First open Anaconda Prompt, then enter the command
jupyter notebook --generate-config
In my case the file was stored in the following directory (the Jupyter Notebook Server configuration directory)
C:\Users\<username>\.jupyter
In this directory, edit the jupyter_notebook_config.py file to change the following configuration settings:
c.NotebookApp.token = ''
c.NotebookApp.password = u''
c.NotebookApp.open_browser = True
c.NotebookApp.ip = 'localhost'
Save the file, and then restart Jupyter Notebook Server to pick up the configuration change.
Set a default password using below command
jupyter notebook password
Restart your notebook and enter the same password in the Browser
There is jupyter_notebook_config.json file that is more priority than jupyter_notebook_config.py file, so you need to edit this json file, to find this directory, use this command
jupyter notebook --generate-config
this will create jupyter_notebook_config.py and show the location of that file, which will be in the same directory as jupyter_notebook_config.json, open jupyter_notebook_config.json and set the password value to "", this works on my side
Use the command jupyter notebook password to open jupyter & it asks to enter a new password.
The hashed password is updated in the jupyter_notebook_config.json file.
I have been launching Jupyter Notebook for years using the following command:
jupyter-notebook --port=7000 --no-browser --no-mathjax
When I try to open the jupyter on the browser it ask me for a password, even though I have never set any before.
It is important to note that If I do set the port to a value different than 7000 (eg., the default 8888) the interface will open with no problem
I am running jupyter locally, and on the following setup:
Python 3.5.2
With the following modules installed:
jupyter (1.0.0), jupyter-client (4.4.0), jupyter-console (5.0.0), jupyter-core (4.2.1), ipykernel (4.5.2), ipython (5.1.0), ipython-genutils (0.1.0), nbconvert (4.3.0), nbformat (4.2.0), notebook (4.3.0)
NOTE: I have no jupyter configurations file
Following are some of the output lines from the server:
[I 19:16:24.358 NotebookApp] Serving notebooks from local directory: /Users/my_user_name
[I 19:16:24.358 NotebookApp] 0 active kernels
[I 19:16:24.358 NotebookApp] The Jupyter Notebook is running at: http://localhost:7000/?token=aa0dab6e2d85766f3e2e4f0f6633e4473db56a56c94cac76
[I 19:16:24.358 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
And follwing are messages after I try to open it on the browser (using port 7000)
[I 19:21:56.848 NotebookApp] 302 GET /tree (::1) 8.46ms
[D 19:21:56.857 NotebookApp] Using contents: services/contents
[D 19:21:56.919 NotebookApp] Path base/images/favicon.ico served from /usr/local/lib/python3.5/site-packages/notebook/static/base/images/favicon.ico
[D 19:21:56.920 NotebookApp] Path components/jquery-ui/themes/smoothness/jquery-ui.min.css served from /usr/local/lib/python3.5/site-packages/notebook/static/components/jquery-ui/themes/smoothness/jquery-ui.min.css
[D 19:21:56.922 NotebookApp] Path components/jquery-typeahead/dist/jquery.typeahead.min.css served from /usr/local/lib/python3.5/site-packages/notebook/static/components/jquery-typeahead/dist/jquery.typeahead.min.css
[D 19:21:56.923 NotebookApp] Path style/style.min.css served from /usr/local/lib/python3.5/site-packages/notebook/static/style/style.min.css
[D 19:21:56.925 NotebookApp] Path auth/css/override.css served from /usr/local/lib/python3.5/site-packages/notebook/static/auth/css/override.css
[D 19:21:56.926 NotebookApp] Path components/es6-promise/promise.min.js served from /usr/local/lib/python3.5/site-packages/notebook/static/components/es6-promise/promise.min.js
[D 19:21:56.926 NotebookApp] Path components/requirejs/require.js served from /usr/local/lib/python3.5/site-packages/notebook/static/components/requirejs/require.js
[D 19:21:56.933 NotebookApp] Path base/images/logo.png served from /usr/local/lib/python3.5/site-packages/notebook/static/base/images/logo.png
[D 19:21:56.934 NotebookApp] 200 GET /login?next=%2Ftree (::1) 80.86ms
[D 19:21:57.001 NotebookApp] Path custom.css served from /usr/local/lib/python3.5/site-packages/notebook/static/custom/custom.css
[D 19:21:57.003 NotebookApp] 304 GET /custom/custom.css (::1) 3.11ms
[D 19:21:57.341 NotebookApp] Path auth/js/main.min.js served from /usr/local/lib/python3.5/site-packages/notebook/static/auth/js/main.min.js
[D 19:21:57.344 NotebookApp] 200 GET /static/auth/js/main.min.js?v=20161219191623 (::1) 3.57ms
At this point there is a page from jupyter asking me to insert a password I have never set before.
SOLVED!
With latest update of notebook module (4.3.1) the problem has been solved.
Once the jupyter notebook is launched the user is prompted to paste a URL into the browser at the first connection:
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:7000/?token=32be0f5ee74cfe521187bc479855ce8b9fbab9e8021701c9
This solved the problem!
The following is very unsafe, but you can remove the password completely with:
jupyter notebook --ip='*' --NotebookApp.token='' --NotebookApp.password=''
Without --NotebookApp.password='', when connecting from a remote computer to a local Jupyter launched simply with:
jupyter notebook --ip='*'
it still asks for a password for security reasons, since users with access can run arbitrary Python code on the server machine!
Note that on my machine, running just:
jupyter notebook
already opens a logged-in window on my browser, and stdout contains:
To access the notebook, open this file in a browser:
file:///home/ciro/.local/share/jupyter/runtime/nbserver-3286-open.html
Or copy and paste one of these URLs:
http://localhost:8888/?token=7c9265bf9df5f57cf5da88f410a71b097e2548ae375826b7
or http://127.0.0.1:8888/?token=7c9265bf9df5f57cf5da88f410a71b097e2548ae375826b7
so if your browser is not opening automatically, you can try one of those links, which seem to have a login token on them, and then investigate why your browser is not opening automatically.
Tested on Jupyter 4.4.x, Ubuntu 18.04.
How to avoid "Invalid credentials" by disabling jupyter Notebook Password & Token
First open Anaconda Prompt
Enter the command jupyter notebook --generate-config
From jupyter directory ,edit the jupyter_notebook_config.py
made changes into the following command
c.NotebookApp.token = ''
c.NotebookApp.password = u''
c.NotebookApp.open_browser = True
c.NotebookApp.ip = 'localhost'
Now launch the jupyter notebook from anaconda navigator definitely the problem will be resolved as soon..
If you are trying to run from docker without password just use CMD like bellow:
CMD ["jupyter", "notebook", "--no-browser","--NotebookApp.token=''","--NotebookApp.password=''"]
Notebook 4.3.0 has enabled login security by default. The token to enter in the password field is printed in the output of the notebok server during startup (or can be included directly in the URL)
The Jupyter Notebook is running at: http://0.0.0.0:8888/?token=f3e7fa23fb7e347ad05914368b625416b7a95a674dc078f7
See http://jupyter-notebook.readthedocs.io/en/latest/security.html#server-security for more info, including disabling the feature.
However, this would not explain why you get the password prompt when running on one port but not on another
You can first create a jupyter config file with:
cd ~/.jupyter
jupyter notebook --generate-config
Then set the c.NotebookApp.token parameter to an empty string in the configuration file created
c.NotebookApp.token = ''
As mentioned in comment, Setting to an empty string disables authentication altogether, which is NOT RECOMMENDED.
The same issue occured on my machine since the last update of the jupyter-notebook package. After installing version
jupyter-notebook-4.3.0-1-any.pkg.tar.xz
it prompted me for a password I never set.
Downgrading to
jupyter-notebook-4.2.3-1-any.pkg.tar.xz
worked for me keeping the system a productive environment. Of course this is just a fast patch.
I also wondered where the password was set since I don't have an explicit config file in my .jupyter-folder. Setting up my own with
password_required=False
made no difference.
For me, the solutions described above was not applicable in Docker.
The following solution works like a charm on Linux:
Details:
used image: tensorflow/tensorflow:latest-py3-jupyter
password I configured: 'password'
run Jupyter as a user (not root)
Steps to start Jupyter in Docker with your pre-defined password:
export JUPYTER_TOKEN='password'
docker run -it --rm -p 8888:8888 -u $(id -u ${USER}):$(id -g ${USER}) -e JUPYTER_TOKEN=$JUPYTER_TOKEN -v /home/<user>/jupyter:/tf/ tensorflow/tensorflow:latest-py3-jupyter
open http://localhost:8888 and use 'password' as your password
save password in ypur browser
For me, that is the easiest way to get rid of the annoying token authentication.
I solved the token authentication by replacing the password inside jupyter_notebook_config.json by running jupyter notebook password on the command line:
(base) C:\WINDOWS\system32>jupyter notebook list
http://localhost:8888/ :: C:\Users\320089053
http://localhost:8889/ :: C:\Users\320089053
(base) C:\WINDOWS\system32>jupyter notebook list
Enter password:
Verify password:
[NotebookPasswordApp] Wrote hashed password to C:\Users\320089053\.jupyter\jupyter_notebook_config.json
If you are trying to run from docker, there are different ways how u can disable authentication
If it is a simple docker run , we can try like this
docker run -p 8888:8888 jupyter/minimal-notebook:57f8546c0386 start-notebook.sh --NotebookApp.token=''
If we are building an image with jupyter/minimal-notebook as base image,
Create a custom-start.sh file
jupyter notebook --allow-root --no-browser --ip=0.0.0.0 --port=8888 --NotebookApp.token='' --NotebookApp.password=''
Add the below lines in docker file
COPY custom-start.sh /usr/local/bin/ RUN chmod +x
/usr/local/bin/custom-start.sh CMD ["custom-start.sh"]
If it is a docker-compose file
version: '3.8'
services:
some_name:
ports: ['8888:8888'] # docker run -p option
image: jupyter/minimal-notebook:57f8546c0386
command: start-notebook.sh --NotebookApp.token=''
This answer is just to summarize what others said and give my two cents on the token thing discussed in the other answers.
What happened to the OP is a password for Jupyter instances is set -- somewhere -- in his environment. (He either set it directly or indirectly, it doesn't matter...in my case, I'm pretty sure I intentionally set it back in the days and then forgot about it.) The situation is a jupyter notebook instance that can not be used because password is unknown/lost/forgot.
There are two ways to do it permanently:
Change the password using Jupyter cli:
$ jupyter notebook password
I tried to set an empty password here but apparently Jupyter does not allow that, something is generated for you if you don't fill it.
Edit your Jupyter config1. In particular, I wanted Jupyter to stop asking for a passwork/token:
I substituted the NotebookApp-token value I had in my jupyter_notebook_config.json for an empty string:
$ cat ~/.jupyter/jupyter_notebook_config.json
{
"NotebookApp": {
"token": ""
}
}
That's it. Now, whenever a new instance of jupyter notebook comes up you should NOT be asked for a password or token.
First open Anaconda Prompt, then enter the command
jupyter notebook --generate-config
In my case the file was stored in the following directory (the Jupyter Notebook Server configuration directory)
C:\Users\<username>\.jupyter
In this directory, edit the jupyter_notebook_config.py file to change the following configuration settings:
c.NotebookApp.token = ''
c.NotebookApp.password = u''
c.NotebookApp.open_browser = True
c.NotebookApp.ip = 'localhost'
Save the file, and then restart Jupyter Notebook Server to pick up the configuration change.
Set a default password using below command
jupyter notebook password
Restart your notebook and enter the same password in the Browser
There is jupyter_notebook_config.json file that is more priority than jupyter_notebook_config.py file, so you need to edit this json file, to find this directory, use this command
jupyter notebook --generate-config
this will create jupyter_notebook_config.py and show the location of that file, which will be in the same directory as jupyter_notebook_config.json, open jupyter_notebook_config.json and set the password value to "", this works on my side
Use the command jupyter notebook password to open jupyter & it asks to enter a new password.
The hashed password is updated in the jupyter_notebook_config.json file.
Have installed Anaconda Python on remote linux machine.
Used putty on local Windows to login to remote linux machine to remotely start the Ipython Notebook. It's started on port 8888.
remote_user#remote_host$ ipython notebook --no-browser --port=8888
Now I need to access this Notebook on local browser.
Have tried doing ssh tunnel.
C:\Users\windowsUser> ssh -N -f -L localhost:8888:localhost:8888 remote_user#remote_host
ssh: connect to host remote_host port 22: Bad file number
But not able to get it right. Getting the above error
Note: the user windowsUser does not exist on remote_host(linux). Remote user account is remote_user.
Where am i going wrong?
Plzz help
It appears you have a typo. In your ssh command you should not have "localhost" twice.
The corrected command is:
ssh -N -f -L 8888:localhost:8888 remote_user#remote_host
Because the syntax for the command is:
ssh -L <Local Port>:<Local Machine>:<Target Port> <Target Machine>
(see http://www.slashroot.in/ssh-port-forwarding-linux-configuration-and-examples)
Furthermore, you could instead modify your ssh config file (in ~/.ssh/config or /etc/ssh_config) to include port forwarding:
Host remote_host
Hostname PUT_REMOTE_IP_HERE
Port 22
User remote_user
LocalForward 8888 localhost:8888
I don't think window has a ssh cmd,
if local is a standard ssh client use
C:\Users\windowsUser> ssh -N -f -L 8888:localhost:8888 remote_user#remote_host
BTW
ipython notebook --ip=remote_host_ip
then you can access with http://remote_host_ip:8888/tree