2.3.18 Satellite: JupyterLab
Handle:
jupyterURL: http://localhost:34101
An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.
# [Optional] pre-build the image
harbor build jupyter
# Start the service
harbor up jupyter
# Open JupyterLab in the browser
harbor open jupyterYour notebooks are stored in the Harbor workspace, under the jupyter directory.
# Opens workspace folder in the File Manager
harbor jupyter workspace
# See workspace location,
# relative to $(harbor home)
harbor config get jupyter.workspaceAdditionally, you can configure service to install additional packages.
# See deps help
# It's a manager for underlying array
harbor jupyter deps -h
# Add packages to install, supports the same
# specifier syntax as pip
harbor jupyter deps add numpy
harbor jupyter deps add SomeProject@git+https://git.repo/some_pkg.git@1.3.1
harbor jupyter deps add SomePackage[PDF,EPUB]==3.1.4
# Rebuilt the service image for dependencies
# to become available
harbor down
harbor build jupyter
harbor up jupyterApart from that, following options can be set via harbor config:
# The port on the host where JupyterLab will be available
JUPYTER_HOST_PORT 34101
# Image to use as a base for JupyterLab service
# Two requirements: have python and pip installed,
# can be any such image
JUPYTER_IMAGE pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime
# Location of the JupyterLab workspace on the host
# This is where service data is stored
# Should be either relative to $(harbor home) or an absolute path
JUPYTER_WORKSPACE ./jupyter/workspace
# Extra dependencies to install in JupyterLab image
# semicolon-separated, will use pip to install them (so can use pip version specifiers)
JUPYTER_EXTRA_DEPS transformers;accelerate;lm_eval;matplotlib;numpy