Ecosyste.ms: Docker
An open API service providing dependency metadata for docker images.
Package Usage : cran : styler
Explore the latest package usage data for styler in the cran ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 141
Total downloads: 422,523
More details on packages.ecosyste.ms - JSON
rocker/ropensci latest
- version: 1.0.1
mirekphd/ml-cpu-r40-rs-cust 20230912
- version: 1.10.1
mirekphd/ml-cpu-r36-rs-cust latest
- version: 1.7.0
mirekphd/ml-cpu-r36-base latest
- version: 1.7.0
patroonorg/patroondeps latest
- version: 1.9.1
sourcegraph/codeintel-r insiders
- version: 1.0.2
intelliseqngs/task_vcf-qc 1.4.0
- version: 1.7.0
afcai2c/r-studio-dl latest
R Studio with Deep Learning AI/ML packages installed [builds upon jlab-eda]
- version: 1.6.2
gesiscss/binder-bollwyvl-2djupyterlab-2dlsp-902099 53686d0e9aaaba4590911e5cc745f7e933bcca08
- version: 1.3.2
inseefrlab/onyxia-sparkr r4.3.2-spark3.5.0-2024.01.15
A minimal R environment configured to use Spark through the SparkR package.
- version: 1.10.2
inseefrlab/travail-collaboratif 0.1.0
- version: 1.8.1
testalabgh/downstream signac-1.4.0
- version: 1.7.0
vanessa/aim-manuscript base
manuscript and example machine learning pipeline with scientific filesystem
- version: 1.0.0
gesiscss/binder-wlandau-2dlearndrake-4eaf31 37504de3434ab3b0fedf8680a95efeeb605bef4d
- version: 1.3.2
vanessa/rstudio-neuro latest
Dockerized rstudio with some statistics and neuro packages!
- version: 1.0.0
inseefrlab/onyxia-rstudio-sparkr r4.3.1-spark3.4.1-2023.09.04
A RStudio service built on top of a R environment with SparkR.
- version: 1.10.2
micko920/fiji-calc shiny
- version: 1.6.1
gesiscss/binder-timtrice-2dhurricane-5fharvey-5fprelims-66dd1c 3affac115dd66d30a85c2146b06d426c1e1d6d4e
- version: 1.1.1
afcai2c/r-studio-valex latest
- version: 1.4.1
inseefrlab/onyxia-jupyter-r r4.3.2-2024.01.15
- version: 1.10.2
vnmd/rstudio_1.4.1106 latest
- version: 1.6.2
alfranz/shiny-server latest
Shiny Server image Based on shinyverse and some other packages.
- version: 1.1.0
ciprnd/onyxia-r-minimal r4.2.3-2023.05.26
- version: 1.10.0
maschroder/atlantgisbackend latest
- version: 1.8.1
afcai2c/r-studio-geo latest
- version: 1.4.1
intelliseqngs/prodia_task_vcf-qc 1.0.7
- version: 1.8.1
etretiakov/workbench-session-complete jammy-2023.10.24-custom-12.5
- version: 1.10.1
gesiscss/binder-krassowski-2djupyterlab-2dlsp-28f8bf fe8bbe2900a02b8fffc7771e200c4caaf647bcb6
- version: 1.2.0
ylebras/neal-docker 2022
- version: 1.7.0
micko920/shinyapp-base rstudio-nz
- version: 1.6.2
inseefrlab/utilitr 0.9.1
- version: 1.10.2
inseefrlab/onyxia-rstudio r4.3.2-2023.12.18
A RStudio service built on top of a R environment tailored for datascience.
- version: 1.10.2, 1.10.1
inseefrlab/onyxia-r-minimal r4.2.3-gpu-2023.08.28
A minimal R environment installed through rocker's install scripts.
- version: 1.10.1
inseefrlab/onyxia-r-datascience r4.3.2-gpu-2024.01.08
- version: 1.10.1, 1.10.2
kisudsoe/r-base latest
- version: 1.10.1
ciprnd/onyxia-sparkr r4.1.3-spark3.3.1-2023.05.26
- version: 1.10.0
nguyentritai2906/mambabook 1.4.0-cu118-devel-ubuntu20.04
- version: 1.10.2, 1.10.1
inseefrlab/esa-nowcasting-2023 v10.0.0
- version: 1.8.1, 1.10.0, 1.10.1
jaredlander/odsceast2023_credit_best v1
- version: 1.9.1
estat/batchchange 13-01-2023-182746
- version: 1.8.1
ddriver058/nvim-r latest
- version: 1.9.0
nakamichi/r-latex-vscode geospatial-4.2.2
- version: 1.8.1
anlitiks/ra_takeda latest
- version: 1.9.1
felioxx/geosoft-ii_rservice latest
- version: 1.9.0
apollodorus/polyglot v1
- version: 1.8.1
6214247/data-lab latest
- version: 1.9.1
maitner/example latest
- version: 1.8.1
islasgeci/seabird_tracking 39be
- version: 1.8.0
kdgosik/main-gitpod latest
- version: 1.9.1
cblefari/onyxia-r-minimal r4.1.3-2024.01.15
- version: 1.10.1, 1.10.2
daltoncp/rstudio_celeganssinglecell 4.2_12
- version: 1.10.2
islasgeci/maya_k9 latest
- version: 1.8.0
peeyushweav/weav_c5_flask v1.0.22
- version: 1.10.1
gesiscss/binder-r2d-g5b5b759-riazarbi-2dzarbitrage-7c17d0 4341f5a8ec6b01d5952dca79d0a3cc96388c3de1
- version: 1.9.1
qkdrk7777775/conda_py_r_ide gpu
You can use R and python in conda environment, and can use jupyter, code server, and rstudio ide.
- version: 1.8.1
hirowat2/rbase 14-01-2023-212139
- version: 1.8.1
educative1/rcourse v3
- version: 1.8.1
sicctan/step deploy
- version: 1.8.1
movano/python9with_r v2
- version: 1.8.1, 1.10.1
daltoncp/rstudio_celegansbulksequencing 4.2_3
- version: 1.9.1
jenfisher7/rstudio_sbae latest
- version: 1.8.1
islasgeci/clean_k9_data 57fc
- version: 1.8.0
estat/skuanalysisallcontry 14-06-2023-095332
- version: 1.9.1
kellywujy/tidyinferential v0.3.0
An image created based on rocker/tidyverse with inferential analysis R packages added and Python
- version: 1.8.1
riazarbi/zarbitrage 20230523
- version: 1.9.1, 1.10.1
ciprnd/onyxia-r-python-julia r4.2.3-2023.05.26
- version: 1.10.0, 1.9.0
jordanwhitlock/setbp1_manuscript_panda_1.0.1 latest
- version: 1.9.1
vnmd/rstudio_2022.07.2 latest
- version: 1.8.1
ciprnd/onyxia-rstudio-sparkr r4.1.3-spark3.3.1-2023.05.26
- version: 1.9.0, 1.10.0
compbiocore/jupyterhub-docker-images-jh_image 20230524
- version: 1.9.1
evaristor/muter latest
- version: 1.8.0
paulb1981/ssd_tsetse_data2 latest
- version: 1.9.1
cgwyx/easymicrobiomer latest
The best practice for microbiome analysis using R
- version: 1.9.1
blacksnowflake/r-base-dev 4.3.2
r-base plus additional dev tooling
- version: 1.10.2
kaiwenw/gpytorch-10_0 latest
- version: 1.9.1
alexdaiii/seurat_tutorial 1.0.1
- version: 1.10.1
estat/rdc301-upload 08-12-2023-083956
- version: 1.7.0, 1.10.2