Reverse Dependencies of notebook

The following projects have a declared dependency on notebook:

• jupyter-kernel-hook — Compose simple and intuitive Jupyter server extension hooks.
• jupyter_nbextensions_configurator — jupyter serverextension providing configuration interfaces for nbextensions.
• jupyter-notebook-gist — Create a gist from the Jupyter Notebook UI
• jupyter-omnicm — jupyter-omnicm is a flexible content manager system for Jupyter notebooks.
• jupyter-plz — A ChatGPT front-end for Jupyter notebooks (Copilot for Jupyter notebooks).
• jupyter-pyfilesystem — Jupyter Notebook PyFilesystem Contents Manager
• jupyter-python-languageserver — Palantir Python Language Server installed as a Jupyter Notebook Server extension.
• jupyter-rospkg — A server extension for JupyterLab to handle ROS packages
• jupyter-server-proxy — A Jupyter server extension to run additional processes and proxy to them that comes bundled JupyterLab extension to launch pre-defined processes.
• jupyter-server-proxy-noe — Jupyter server extension to supervise and proxy web services
• jupyter-server-proxy-windows — Jupyter server extension to supervise and proxy web services
• jupyter-singleton — jupyter notebook wrapper for making output cells available outside of notebook
• jupyter-spark — Jupyter Notebook extension for Apache Spark integration
• jupyter-tabnine — Jupyter notebook extension which support coding auto-completion based on Deep Learning
• jupyter-tree-download — Compresses and downloads all files in any of the user's directories.
• Jupyter-Video-Widget — A Jupyter HTML5 Video Player Widget
• jupyter-whitelist-env — no summary
• jupyter_zenroom_kernel — Jupyter kernel for Zenroom. Small, secure and portable virtual machine for crypto language processing
• jupyteranalytics — Adds Google Analytics to Jupyter notebooks
• jupyterhub-idle-culler — JupyterHub Python repository template
• jupyterhub-legacy-py2-singleuser — Single-user server for running Jupyter Notebooks (on Python2) with JupyterHub
• jupyterhub-nativeauthenticator — JupyterHub Native Authenticator
• jupyterhub-saml-auth — no summary
• jupyterhub-traefik-proxy — JupyterHub proxy implementation with traefik
• jupyterlab-cognos-dashboard-embedded — Cognos Dashboard Embedded for JupyterLab
• jupyterlab-discovery — A JupyterLab extension to facilitate the discovery and installation of other extensions
• jupyterlab-gitlab-msg — A Jupyter Notebook server extension which acts as a proxy for the GitLab API.
• jupyterlab-hdf — A Jupyter Notebook server extension that provides APIs for fetching hdf5 contents and data. Built on h5py.
• jupyterlab-infinstor — InfinStor Jupyter Server extension
• jupyterlab-irods — A Jupyter Notebook server extension which acts as a backend for IRODS requests.
• jupyterlab-launcher — Jupyter Launcher
• jupyterlab-lsstextensions — no summary
• jupyterlab-lsstquery — no summary
• jupyterlab-minio — JupyterLab extension for browsing Minio object storage
• jupyterlab-rubinhub — no summary
• jupyterlab-s3-browser — JupyterLab extension for browsing S3-compatible object storage
• jupyterlab-s3-browser-uccps — JupyterLab extension for browsing S3-compatible object storage
• jupyterlab-slurm — A Jupyter Notebook server extension that implements common Slurm commands.
• jupyterlab-swift — A Jupyter Notebook server extension which acts a proxy for a Swift API.
• jupyterlab-thredds — A Jupyter Notebook server extension which crawls a thredds catalog
• jupyterlab-zenodo — A Jupyter Notebook extension which enables uploading to Zenodo from JupyterLab
• jupyterlab-zip — Zip and download folder contents
• jupyterlite — no summary
• jupyterlite-ai — AI code completions and chat for JupyterLite
• jupyternb-task-review — Integrate task review for jupyter notebook including dataframe, single and multiple choice tasks
• JupyterPiDAQ — Live Data Acquisition in Jupyter notebooks
• jupytertoolbox — Version control, experiment tracking, script exporting, etc. for Jupyter notebooks
• jupytray — Run the Jupyter notebook server as a little app in the system tray
• jupyxml — Show XML files in Jupyter Notebooks easily
• juxai-s2 — JUX is a jax-accelerated engine for Lux-2022.
• juxai2022 — JUX is a jax-accelerated engine for Lux-2022.
• jyg — Main entrypoint for jyg.
• jyquickhelper — Helpers for Jupyter notebooks: automated menu, JSON visualizer, plug javascript
• kailin — KAILINss - TOGGLE(KAILIN): Single Cell Fate Tracing tools
• kdelearn — Short description of ml methods based on kernel density estimation
• kedro — Kedro helps you build production-ready data and analytics pipelines
• kenmerkendewaarden — Derive indicators from waterlevel measurements
• keywords-en — keywords extract
• kglab — A simple abstraction layer in Python for building knowledge graphs
• knn_fishmlserv — Default template for PDM package
• krutrim-cloud — The official Python library for the Krutrim Cloud API
• kslhub — klshub - a datahub based on jupyterhub
• kso-utils — A package containing utility scripts for use with KSO analysis notebooks.
• ktz — Kantholtz' Python Toolbox
• kubeflow-fairing — Kubeflow Fairing Python SDK.
• kubeflow-fairing-dmtest — Kubeflow Fairing Python SDK.
• kubeflow-kale — Convert JupyterNotebooks to Kubeflow Pipelines deployments
• kubit — kubit
• l5kit — Level-5 Autonomous Vehicle Research library
• labbench — The `labbench` module provides API tools to support python scripting for laboratory automation.The goal is to simplify the process of developing an experimental procedure into clear, concise, explainable, and reusable code.
• lakehouse-engine — A configuration-driven Spark framework serving as the engine for several lakehouse algorithms and data flows.
• lampa — no summary
• langmuir-trough — Controls and collects data from Gutow Lab Langmuir Trough.
• langpy-notebook — Chat in Python on IPython notebook.
• latechclfl2020besnier — no summary
• latentscope — Quickly embed, project, cluster and explore a dataset.
• latexify-py — Generates LaTeX math description from Python functions.
• lean-dojo — LeanDojo: Machine Learning for Theorem Proving in Lean
• LearningNashQLearning — A simple NashQ-learning implementation in Python
• lekkersim — The lekker tool for photonic circuit simulation.
• lenskit — The LensKit toolkit for recommender systems research.
• lfprop — A package for gradient-free neural network training using LFP
• lfxai — A framework to explain the latent representations of unsupervised black-box models with the help of usual feature importance and example-based methods.
• libcirkit — a python framework to build, learn and reason about probabilistic circuits and tensor networks
• LittleSnowFox — KAILINss - TOGGLE(KAILIN): Single Cell Fate Tracing tools
• livy-uploads — Upload files and arbitrary objects to Livy
• lmdiag — Diagnostic Plots for Lineare Regression Models. Similar to plot.lm in R.
• lmkapp — Stop watching your code run
• load-atoms — Large Open Access Datasets for Atomistic Materials Science (LOAD-AtoMS)
• loadwright — This package makes it super simple to do exploratory data analysis and develop high-quality Panel data apps ...
• logtalk-jupyter-kernel — Hercutalk - A Jupyter Kernel for Logtalk
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• low-code-assistant — no summary
• lp-Aicloud — this a aicloud
• lrp-pf-auc — Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
• luis1996 — my description
• luisito1996 — my description
• luisito19963 — my description
• lumicks.pylake — Bluelake data analysis tools
• lux-widget — Jupyter Widget for Intelligent Data Discovery