Config file and command line options

The notebook server can be run with a variety of command line arguments. A list of available options can be found below in the options section.

Defaults for these options can also be set by creating a file named jupyter_notebook_config.py in your Jupyter folder. The Jupyter folder is in your home directory, ~/.jupyter.

To create a jupyter_notebook_config.py file, with all the defaults commented out, you can use the following command line:

$ jupyter notebook --generate-config

Options

This list of options can be generated by running the following and hitting enter:

$ jupyter notebook --help
Application.log_datefmt : Unicode

Default: '%Y-%m-%d %H:%M:%S'

The date format used by logging formatters for %(asctime)s

Application.log_format : Unicode

Default: '[%(name)s]%(highlevel)s %(message)s'

The Logging format template

Application.log_level : 0|10|20|30|40|50|』DEBUG』|』INFO』|』WARN』|』ERROR』|』CRITICAL』

Default: 30

Set the log level by value or name.

JupyterApp.answer_yes : Bool

Default: False

Answer yes to any prompts.

JupyterApp.config_file : Unicode

Default: ''

Full path of a config file.

JupyterApp.config_file_name : Unicode

Default: ''

Specify a config file to load.

JupyterApp.generate_config : Bool

Default: False

Generate default config file.

NotebookApp.allow_credentials : Bool

Default: False

Set the Access-Control-Allow-Credentials: true header

NotebookApp.allow_origin : Unicode

Default: ''

Set the Access-Control-Allow-Origin header

Use 『*』 to allow any origin to access your server.

Takes precedence over allow_origin_pat.

NotebookApp.allow_origin_pat : Unicode

Default: ''

Use a regular expression for the Access-Control-Allow-Origin header

Requests from an origin matching the expression will get replies with:

Access-Control-Allow-Origin: origin

where origin is the origin of the request.

Ignored if allow_origin is set.

NotebookApp.allow_root : Bool

Default: False

Whether to allow the user to run the notebook as root.

NotebookApp.base_project_url : Unicode

Default: '/'

DEPRECATED use base_url

NotebookApp.base_url : Unicode

Default: '/'

The base URL for the notebook server.

Leading and trailing slashes can be omitted, and will automatically be added.

NotebookApp.browser : Unicode

Default: ''

Specify what command to use to invoke a web browser when opening the notebook. If not specified, the default browser will be determined by the webbrowser standard library module, which allows setting of the BROWSER environment variable to override it.

NotebookApp.certfile : Unicode

Default: ''

The full path to an SSL/TLS certificate file.

NotebookApp.client_ca : Unicode

Default: ''

The full path to a certificate authority certificate for SSL/TLS client authentication.

NotebookApp.config_manager_class : Type

Default: 'notebook.services.config.manager.ConfigManager'

The config manager class to use

NotebookApp.contents_manager_class : Type

Default: 'notebook.services.contents.largefilemanager.LargeFileManager'

The notebook manager class to use.

NotebookApp.cookie_options : Dict

Default: {}

Extra keyword arguments to pass to set_secure_cookie. See tornado’s set_secure_cookie docs for details.

NotebookApp.cookie_secret : Bytes

Default: b''

The random bytes used to secure cookies. By default this is a new random number every time you start the Notebook. Set it to a value in a config file to enable logins to persist across server sessions.

Note: Cookie secrets should be kept private, do not share config files with cookie_secret stored in plaintext (you can read the value from a file).

NotebookApp.cookie_secret_file : Unicode

Default: ''

The file where the cookie secret is stored.

NotebookApp.default_url : Unicode

Default: '/tree'

The default URL to redirect to from /

NotebookApp.disable_check_xsrf : Bool

Default: False

Disable cross-site-request-forgery protection

Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either:

  • originate from pages served by this server (validated with XSRF cookie and token), or
  • authenticate with a token

Some anonymous compute resources still desire the ability to run code, completely without authentication. These services can disable all authentication and security checks, with the full knowledge of what that implies.

NotebookApp.enable_mathjax : Bool

Default: True

Whether to enable MathJax for typesetting math/TeX

MathJax is the javascript library Jupyter uses to render math/LaTeX. It is very large, so you may want to disable it if you have a slow internet connection, or for offline use of the notebook.

When disabled, equations etc. will appear as their untransformed TeX source.

NotebookApp.extra_nbextensions_path : List

Default: []

extra paths to look for Javascript notebook extensions

NotebookApp.extra_static_paths : List

Default: []

Extra paths to search for serving static files.

This allows adding javascript/css to be available from the notebook server machine, or overriding individual files in the IPython

NotebookApp.extra_template_paths : List

Default: []

Extra paths to search for serving jinja templates.

Can be used to override templates from notebook.templates.

NotebookApp.file_to_run : Unicode

Default: ''

No description

NotebookApp.ignore_minified_js : Bool

Default: False

Deprecated: Use minified JS file or not, mainly use during dev to avoid JS recompilation

NotebookApp.iopub_data_rate_limit : Float

Default: 1000000

(bytes/sec) Maximum rate at which stream output can be sent on iopub before they are limited.

NotebookApp.iopub_msg_rate_limit : Float

Default: 1000

(msgs/sec) Maximum rate at which messages can be sent on iopub before they are limited.

NotebookApp.ip : Unicode

Default: 'localhost'

The IP address the notebook server will listen on.

NotebookApp.jinja_environment_options : Dict

Default: {}

Supply extra arguments that will be passed to Jinja environment.

NotebookApp.jinja_template_vars : Dict

Default: {}

Extra variables to supply to jinja templates when rendering.

NotebookApp.kernel_manager_class : Type

Default: 'notebook.services.kernels.kernelmanager.MappingKernelManager'

The kernel manager class to use.

NotebookApp.kernel_spec_manager_class : Type

Default: 'jupyter_client.kernelspec.KernelSpecManager'

The kernel spec manager class to use. Should be a subclass of jupyter_client.kernelspec.KernelSpecManager.

The Api of KernelSpecManager is provisional and might change without warning between this version of Jupyter and the next stable one.

NotebookApp.keyfile : Unicode

Default: ''

The full path to a private key file for usage with SSL/TLS.

NotebookApp.login_handler_class : Type

Default: 'notebook.auth.login.LoginHandler'

The login handler class to use.

NotebookApp.logout_handler_class : Type

Default: 'notebook.auth.logout.LogoutHandler'

The logout handler class to use.

NotebookApp.mathjax_config : Unicode

Default: 'TeX-AMS-MML_HTMLorMML-full,Safe'

The MathJax.js configuration file that is to be used.

NotebookApp.mathjax_url : Unicode

Default: ''

A custom url for MathJax.js. Should be in the form of a case-sensitive url to MathJax, for example: /static/components/MathJax/MathJax.js

NotebookApp.nbserver_extensions : Dict

Default: {}

Dict of Python modules to load as notebook server extensions.Entry values can be used to enable and disable the loading ofthe extensions. The extensions will be loaded in alphabetical order.

NotebookApp.notebook_dir : Unicode

Default: ''

The directory to use for notebooks and kernels.

NotebookApp.open_browser : Bool

Default: True

Whether to open in a browser after starting. The specific browser used is platform dependent and determined by the python standard library webbrowser module, unless it is overridden using the –browser (NotebookApp.browser) configuration option.

NotebookApp.password : Unicode

Default: ''

Hashed password to use for web authentication.

To generate, type in a python/IPython shell:

from notebook.auth import passwd; passwd()

The string should be of the form type:salt:hashed-password.

NotebookApp.password_required : Bool

Default: False

Forces users to use a password for the Notebook server. This is useful in a multi user environment, for instance when everybody in the LAN can access each other’s machine through ssh.

In such a case, server the notebook server on localhost is not secure since any user can connect to the notebook server via ssh.

NotebookApp.port : Int

Default: 8888

The port the notebook server will listen on.

NotebookApp.port_retries : Int

Default: 50

The number of additional ports to try if the specified port is not available.

NotebookApp.pylab : Unicode

Default: 'disabled'

DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.

NotebookApp.rate_limit_window : Float

Default: 3

(sec) Time window used to check the message and data rate limits.

NotebookApp.reraise_server_extension_failures : Bool

Default: False

Reraise exceptions encountered loading server extensions?

NotebookApp.server_extensions : List

Default: []

DEPRECATED use the nbserver_extensions dict instead

NotebookApp.session_manager_class : Type

Default: 'notebook.services.sessions.sessionmanager.SessionManager'

The session manager class to use.

NotebookApp.ssl_options : Dict

Default: {}

Supply SSL options for the tornado HTTPServer. See the tornado docs for details.

NotebookApp.terminado_settings : Dict

Default: {}

Supply overrides for terminado. Currently only supports 「shell_command」.

NotebookApp.token : Unicode

Default: '<generated>'

Token used for authenticating first-time connections to the server.

When no password is enabled, the default is to generate a new, random token.

Setting to an empty string disables authentication altogether, which is NOT RECOMMENDED.

NotebookApp.tornado_settings : Dict

Default: {}

Supply overrides for the tornado.web.Application that the Jupyter notebook uses.

NotebookApp.trust_xheaders : Bool

Default: False

Whether to trust or not X-Scheme/X-Forwarded-Proto and X-Real-Ip/X-Forwarded-For headerssent by the upstream reverse proxy. Necessary if the proxy handles SSL

NotebookApp.webapp_settings : Dict

Default: {}

DEPRECATED, use tornado_settings

NotebookApp.webbrowser_open_new : Int

Default: 2

Specify Where to open the notebook on startup. This is the new argument passed to the standard library method webbrowser.open. The behaviour is not guaranteed, but depends on browser support. Valid values are:

2 opens a new tab, 1 opens a new window, 0 opens in an existing window.

See the webbrowser.open documentation for details.

NotebookApp.websocket_compression_options : Any

Default: None

Set the tornado compression options for websocket connections.

This value will be returned from WebSocketHandler.get_compression_options(). None (default) will disable compression. A dict (even an empty one) will enable compression.

See the tornado docs for WebSocketHandler.get_compression_options for details.

NotebookApp.websocket_url : Unicode

Default: ''

The base URL for websockets, if it differs from the HTTP server (hint: it almost certainly doesn’t).

Should be in the form of an HTTP origin: ws[s]://hostname[:port]

ConnectionFileMixin.connection_file : Unicode

Default: ''

JSON file in which to store connection info [default: kernel-<pid>.json]

This file will contain the IP, ports, and authentication key needed to connect clients to this kernel. By default, this file will be created in the security dir of the current profile, but can be specified by absolute path.

ConnectionFileMixin.control_port : Int

Default: 0

set the control (ROUTER) port [default: random]

ConnectionFileMixin.hb_port : Int

Default: 0

set the heartbeat port [default: random]

ConnectionFileMixin.iopub_port : Int

Default: 0

set the iopub (PUB) port [default: random]

ConnectionFileMixin.ip : Unicode

Default: ''

Set the kernel’s IP address [default localhost]. If the IP address is something other than localhost, then Consoles on other machines will be able to connect to the Kernel, so be careful!

ConnectionFileMixin.shell_port : Int

Default: 0

set the shell (ROUTER) port [default: random]

ConnectionFileMixin.stdin_port : Int

Default: 0

set the stdin (ROUTER) port [default: random]

ConnectionFileMixin.transport : 『tcp』|』ipc』

Default: 'tcp'

No description

KernelManager.autorestart : Bool

Default: True

Should we autorestart the kernel if it dies.

KernelManager.kernel_cmd : List

Default: []

DEPRECATED: Use kernel_name instead.

The Popen Command to launch the kernel. Override this if you have a custom kernel. If kernel_cmd is specified in a configuration file, Jupyter does not pass any arguments to the kernel, because it cannot make any assumptions about the arguments that the kernel understands. In particular, this means that the kernel does not receive the option –debug if it given on the Jupyter command line.

KernelManager.shutdown_wait_time : Float

Default: 5.0

Time to wait for a kernel to terminate before killing it, in seconds.

Session.buffer_threshold : Int

Default: 1024

Threshold (in bytes) beyond which an object’s buffer should be extracted to avoid pickling.

Session.check_pid : Bool

Default: True

Whether to check PID to protect against calls after fork.

This check can be disabled if fork-safety is handled elsewhere.

Session.copy_threshold : Int

Default: 65536

Threshold (in bytes) beyond which a buffer should be sent without copying.

Session.debug : Bool

Default: False

Debug output in the Session

Session.digest_history_size : Int

Default: 65536

The maximum number of digests to remember.

The digest history will be culled when it exceeds this value.

Session.item_threshold : Int

Default: 64

The maximum number of items for a container to be introspected for custom serialization. Containers larger than this are pickled outright.

Session.key : CBytes

Default: b''

execution key, for signing messages.

Session.keyfile : Unicode

Default: ''

path to file containing execution key.

Session.metadata : Dict

Default: {}

Metadata dictionary, which serves as the default top-level metadata dict for each message.

Session.packer : DottedObjectName

Default: 'json'

The name of the packer for serializing messages. Should be one of 『json』, 『pickle』, or an import name for a custom callable serializer.

Session.session : CUnicode

Default: ''

The UUID identifying this session.

Session.signature_scheme : Unicode

Default: 'hmac-sha256'

The digest scheme used to construct the message signatures. Must have the form 『hmac-HASH』.

Session.unpacker : DottedObjectName

Default: 'json'

The name of the unpacker for unserializing messages. Only used with custom functions for packer.

Session.username : Unicode

Default: 'kurozumi'

Username for the Session. Default is your system username.

MultiKernelManager.default_kernel_name : Unicode

Default: 'python3'

The name of the default kernel to start

MultiKernelManager.kernel_manager_class : DottedObjectName

Default: 'jupyter_client.ioloop.IOLoopKernelManager'

The kernel manager class. This is configurable to allow subclassing of the KernelManager for customized behavior.

MappingKernelManager.buffer_offline_messages : Bool

Default: True

Whether messages from kernels whose frontends have disconnected should be buffered in-memory.

When True (default), messages are buffered and replayed on reconnect, avoiding lost messages due to interrupted connectivity.

Disable if long-running kernels will produce too much output while no frontends are connected.

MappingKernelManager.cull_busy : Bool

Default: False

Whether to consider culling kernels which are busy. Only effective if cull_idle_timeout is not 0.

MappingKernelManager.cull_connected : Bool

Default: False

Whether to consider culling kernels which have one or more connections. Only effective if cull_idle_timeout is not 0.

MappingKernelManager.cull_idle_timeout : Int

Default: 0

Timeout (in seconds) after which a kernel is considered idle and ready to be culled. Values of 0 or lower disable culling. The minimum timeout is 300 seconds (5 minutes). Positive values less than the minimum value will be set to the minimum.

MappingKernelManager.cull_interval : Int

Default: 300

The interval (in seconds) on which to check for idle kernels exceeding the cull timeout value.

MappingKernelManager.root_dir : Unicode

Default: ''

No description

ContentsManager.checkpoints : Instance

Default: None

No description

ContentsManager.checkpoints_class : Type

Default: 'notebook.services.contents.checkpoints.Checkpoints'

No description

ContentsManager.checkpoints_kwargs : Dict

Default: {}

No description

ContentsManager.files_handler_class : Type

Default: 'notebook.files.handlers.FilesHandler'

handler class to use when serving raw file requests.

Default is a fallback that talks to the ContentsManager API, which may be inefficient, especially for large files.

Local files-based ContentsManagers can use a StaticFileHandler subclass, which will be much more efficient.

Access to these files should be Authenticated.

ContentsManager.files_handler_params : Dict

Default: {}

Extra parameters to pass to files_handler_class.

For example, StaticFileHandlers generally expect a path argument specifying the root directory from which to serve files.

ContentsManager.hide_globs : List

Default: ['__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dyl...

Glob patterns to hide in file and directory listings.

ContentsManager.pre_save_hook : Any

Default: None

Python callable or importstring thereof

To be called on a contents model prior to save.

This can be used to process the structure, such as removing notebook outputs or other side effects that should not be saved.

It will be called as (all arguments passed by keyword):

hook(path=path, model=model, contents_manager=self)
  • model: the model to be saved. Includes file contents. Modifying this dict will affect the file that is stored.
  • path: the API path of the save destination
  • contents_manager: this ContentsManager instance
ContentsManager.root_dir : Unicode

Default: '/'

No description

ContentsManager.untitled_directory : Unicode

Default: 'Untitled Folder'

The base name used when creating untitled directories.

ContentsManager.untitled_file : Unicode

Default: 'untitled'

The base name used when creating untitled files.

ContentsManager.untitled_notebook : Unicode

Default: 'Untitled'

The base name used when creating untitled notebooks.

FileManagerMixin.use_atomic_writing : Bool

Default: True

By default notebooks are saved on disk on a temporary file and then if succefully written, it replaces the old ones. This procedure, namely 『atomic_writing』, causes some bugs on file system whitout operation order enforcement (like some networked fs). If set to False, the new notebook is written directly on the old one which could fail (eg: full filesystem or quota )

FileContentsManager.post_save_hook : Any

Default: None

Python callable or importstring thereof

to be called on the path of a file just saved.

This can be used to process the file on disk, such as converting the notebook to a script or HTML via nbconvert.

It will be called as (all arguments passed by keyword):

hook(os_path=os_path, model=model, contents_manager=instance)
  • path: the filesystem path to the file just written
  • model: the model representing the file
  • contents_manager: this ContentsManager instance
FileContentsManager.root_dir : Unicode

Default: ''

No description

FileContentsManager.save_script : Bool

Default: False

DEPRECATED, use post_save_hook. Will be removed in Notebook 5.0

NotebookNotary.algorithm : 『blake2s』|』sha256』|』sha3_224』|』sha3_512』|』blake2b』|』sha384』|』sha224』|』sha512』|』sha3_256』|』md5』|』sha3_384』|』sha1』

Default: 'sha256'

The hashing algorithm used to sign notebooks.

NotebookNotary.db_file : Unicode

Default: ''

The sqlite file in which to store notebook signatures. By default, this will be in your Jupyter data directory. You can set it to 『:memory:』 to disable sqlite writing to the filesystem.

NotebookNotary.secret : Bytes

Default: b''

The secret key with which notebooks are signed.

NotebookNotary.secret_file : Unicode

Default: ''

The file where the secret key is stored.

NotebookNotary.store_factory : Callable

Default: traitlets.Undefined

A callable returning the storage backend for notebook signatures. The default uses an SQLite database.

KernelSpecManager.ensure_native_kernel : Bool

Default: True

If there is no Python kernelspec registered and the IPython kernel is available, ensure it is added to the spec list.

KernelSpecManager.kernel_spec_class : Type

Default: 'jupyter_client.kernelspec.KernelSpec'

The kernel spec class. This is configurable to allow subclassing of the KernelSpecManager for customized behavior.

KernelSpecManager.whitelist : Set

Default: set()

Whitelist of allowed kernel names.

By default, all installed kernels are allowed.