Package Usage : pypi : jupyterlab
Explore the latest package usage data for jupyterlab in the pypi ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 3,409
Total downloads: 584,120,000
More details on packages.ecosyste.ms - JSON
jupyter/scipy-notebook x86_64-python-3.11.6
Scientific Jupyter Notebook Python Stack from https://github.com/jupyter/docker-stacks
- version: 3.6.1, 3.6.3, 4.0.5
jupyter/all-spark-notebook x86_64-spark-3.5.0
Python, Scala, R and Spark Jupyter Notebook Stack from https://github.com/jupyter/docker-stacks
- version: 3.6.1, 3.6.3, 4.0.5
tensorflow/tensorflow 2.18.0
Official Docker images for the machine learning framework TensorFlow (http://www.tensorflow.org)
- version: 4.0.5
jupyter/tensorflow-notebook x86_64-tensorflow-2.14.0
Scientific Jupyter Notebook Python Stack w/ TensorFlow from https://github.com/jupyter/docker-stacks
- version: 3.6.3, 3.6.1, 4.0.5
jupyter/pyspark-notebook x86_64-spark-3.5.0
Python and Spark Jupyter Notebook Stack from https://github.com/jupyter/docker-stacks
- version: 3.6.1, 4.0.5, 3.6.3
jupyter/datascience-notebook x86_64-python-3.11.6
Data Science Jupyter Notebook Python Stack from https://github.com/jupyter/docker-stacks
- version: 3.6.1, 3.6.3, 4.0.6
jupyterhub/singleuser 5.2.0
single-user docker images for use with JupyterHub and DockerSpawner see also: jupyter/docker-stacks
- version: 3.5.3, 4.0.4, 3.6.1
gitpod/workspace-full 2025-05-14-07-50-25
Default Workspace Image for https://gitpod.io. Use `legacy-dazzle-v1` tag for dazzlev1 images
- version: 4.0.5
continuumio/anaconda3 5.3.0
Powerful and flexible python distribution
- version: 3.6.3
jupyter/minimal-notebook x86_64-python-3.11.6
Minimal Jupyter Notebook Python Stack from https://github.com/jupyter/docker-stacks
- version: 3.6.1, 3.6.3, 4.0.5
jupyter/base-notebook x86_64-python-3.11.6
Base image for Jupyter Notebook stacks from https://github.com/jupyter/docker-stacks
- version: 3.6.1, 3.6.3, 4.0.5
jupyterhub/k8s-singleuser-sample 4.1.0
- version: 3.6.3, 3.6.1, 4.0.9, 4.0.5
anyscale/ray-ml 2.38.0
- version: 3.6.1, 2.2.5
jupyter/r-notebook x86_64-python-3.11.6
R Jupyter Notebook Stack from https://github.com/jupyter/docker-stacks
- version: 3.6.3, 3.6.1, 4.0.6
amancevice/pandas 2.2.2
pandas on debian/alpine for Python 2 or Python 3
- version: 3.6.3, 4.0.6, 4.0.5
gitpod/workspace-mongodb 2024-10-29-10-39-27
- version: 4.0.5
gitpod/workspace-mysql 2025-04-16-08-49-20
- version: 4.0.5
tensorflow/tfx 1.16.0
- version: 3.4.8, 4.0.4
duckietown/dt-gui-tools v4.1.1-arm64v8
- version: 3.6.3, 3.6.1
gitpod/workspace-postgres 2025-03-17-15-29-30
- version: 4.0.5
doejgi/metatlas_shifter py311_new_04
This repo is no longer being updated. Please see ghcr.io/biorack/metatlas/metatlas_shifter:latest
- version: 4.0.7, 3.4.2
gitpod/workspace-full-vnc 2025-05-14-07-50-25
Based on workspace-full this image adds X11 and VNC support
- version: 4.0.5
broadinstitute/terra-jupyter-aou 2.1.13
- version: 3.2.9
rocker/binder 4.4.1
Adds binder to rocker/tidyverse, providing JupyterHub access on rocker containers
- version: 4.0.6, 3.6.1, 3.6.3
gitpod/workspace-dotnet 2024-09-22-20-53-01
Based on workspace-full this image adds .NET support
- version: 4.0.5
jetbrains/datalore-agent 2024.5.1
- version: 4.0.3
mdurant/dask-kubernetes latest
Dask scheduler, workers and notebook with full numerical stack
- version: 0.31.5
comsatel/jupyter 0.2.0
- version: 3.4.4
aiidalab/aiidalab-docker-stack 23.3.0
Docker stack for the AiiDA lab (https://aiidalab.materialscloud.org)
- version: 3.0.17
senzing/jupyter 3.0.0
- version: 3.4.2
atapbinder/binder-dev-alex-2dip-2dconda-606e23 f693cb9c1545dc48b02f63a44204528297b3f685
- version: 3.4.8
mirekphd/ml-cpu-py38-jup-cust 20230623
- version: 3.3.4, 3.4.7
dolfinx/lab v0.9.0
Jupyter Lab environment with dolfinx
- version: 4.0.6
mirekphd/ml-cpu-py37-jup-cust 20230107
- version: 3.5.2
gitpod/workspace-python 2024-11-14-18-51-24
- version: 4.0.5
gesiscss/binder-calysto-2dcalysto-5fscheme-1986f9 201f544d55209c7842c9dcf5944f57feb7518bbb
- version: 3.1.1
ocdr/dkube-datascience-tf-cpu-multiuser v2.3.0
- version: 1.2.4
mirekphd/ml-gpu-py38-cuda112-cust 20230623
- version: 3.6.3, 3.5.2
gitpod/workspace-python-3.8 2024-10-23-07-17-13
- version: 4.0.5
dclong/jupyterhub 4.0_082706
JupyterHub in Docker.
- version: 3.3.4, 3.6.3
gesiscss/binder-spatialaudio-2dnbsphinx-72289e cc0d838a942a06d5b4376392b0df9d8fa1f0a2b6
- version: 3.1.1
ocdr/d3-datascience-pytorch-cpu v1.9-19
- version: 1.2.4
jcoffi/cluster-anywhere cu124
This is a work in progress and it doesn't work yet. It is based on Ray.io, mesh VPN, and CrateDB.
- version: 3.6.1
gesiscss/binder-danielfrg-2djupyter-2dflex-c23581 5d618204c338b82e708dc3cbc562ea69e5d554ee
- version: 3.0.12
ocdr/d3-datascience-pytorch-cpu-multiuser v1.9-19
- version: 1.2.4
gesiscss/binder-databricks-2dkoalas-a840b5 e971d6f37ede45297bbf9d509ae2a7b51717f322
- version: 3.1.1
gesiscss/binder-spencerpark-2dijava-2dbinder-1b0a27 6dd9997b5dcb3b3a45b605f3cc40a3d9d4db306c
- version: 0.35.4
huggingface/accelerate-gpu 0.28.0
- version: 3.5.3, 3.6.3
ocdr/d3-datascience-pytorch-gpu v1.9-19
- version: 1.2.4
mesosphere/mesosphere-jupyter-service latest
- version: 0.35.4
ocdr/d3-datascience-pytorch-gpu-multiuser v2.4.0-19
- version: 1.2.4
araalinetworks/devproxy 0.9.91
- version: 3.6.1
projectmonai/monailabel 0.8.0
- version: 2.3.2
qdidiscoveryservices/bwa_samtools_biobambam2 2.0
- version: 0.34.9