Ecosyste.ms: Docker
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Package Usage : npm : json-formatter-js
Explore the latest package usage data for json-formatter-js in the npm ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 404
Total downloads: 20,807,651
More details on packages.ecosyste.ms - JSON
mobigroup/pygmtsar-large latest
PyGMTSAR (Python InSAR) - Easy and Fast Satellite Interferometry For Everyone
- version: 2.3.4
arrennew/omcis_class v0.1
- version: 2.3.4
unidata/farallon-fall-2020 c444aee110d3
- version: 2.3.4
wonhee20/binder-sandbox-wolee101-2dtopic-5fmodeling-5fplayground-753818 a57c61bf613620b50d5cfd622c55c65c3e156eb7
- version: 2.3.4
mirekphd/ml-cpu-py39-vsc-cust 20231008
- version: 2.3.4
nasanccs/nga-deeplearning latest
- version: 2.3.4
gesiscss/binder-julioasotodv-2ddatashader-2ddemo-2d2-1028a8 b8ca3e4fffa133a24db6e8ed55ec1508fa2af043
- version: 2.3.4
jasonstewartnz/jdash latest
- version: 2.3.4
gesiscss/binder-nbgallery-2ddashboards-e7058e f56bb38c288317367664b0a9121aa7dcf6ea2845
- version: 2.3.4
mftlabs/ampsv2dev latest
- version: 2.3.4
gpucitesting/rapidsai-pr285 23.04-cuda11.4-devel-rockylinux8-py3.8
- version: 2.3.4
hyradus/isis-asp3-gispy standalone-lab
Dockerized USGS ISIS + NASA Ames Stereo Pipeline + GIS-python + Jupyter lab
- version: 2.3.4
fgeraci18/rapids_tensorflow v0.2
- version: 2.3.4
mallonn/ml-models-gpu 1.2.0
- version: 2.3.4
gpucitesting/rapidsai-driver-pr285 23.02-cuda11.8-devel-centos7-py3.8
- version: 2.3.4
mirekphd/ml-gpu-py39-cuda118-cust 20231009
- version: 2.3.4
jesselzj/glm_envs 1.0
- version: 2.3.4
nasanccs/dgxrapids latest
- version: 2.3.4
bsjacky/seismic_analysis 1.0.9
- version: 2.3.4
fmannan/tf1.15-cu11 latest
- version: 2.3.4
arbennett/base-geoscience latest
A basic set of tools for geoscience analysis, built on jupyter/datascience-notebook
- version: 2.3.4
moohle/torch-ocr 20230208
- version: 2.3.4
ktyle/binder-dev-projectpythia-2dlandsat-2dml-2dcookbook-04b5ea d6147f6c4882426d23fc4d19695df3aa1839fcee
- version: 2.3.4
koki/urchin_workflow_bioconda 20220527
- version: 2.3.4
biodancer/nasap latest
write later
- version: 2.3.4
uwgda/uwgda-image-2023 2023.02.17
- version: 2.3.4
ivistsukiok/binder-mdx-http-3a-2f-2fdg02-2edg-2ercos-2enii-2eac-2ejp-2fakaiken-2ftest-5fdocker-2egit-b72cec 36d80ea4398cf4353aabb7303dcf44bb103c3519
- version: 2.3.4
nasanccs/terragpu latest
- version: 2.3.4
wardf/netcdf-tests latest
- version: 2.3.4
etretiakov/workbench-session-complete jammy-2023.10.24-custom-12.5
- version: 2.3.4
biodancer/nasap_performance latest
write later
- version: 2.3.4
ktyle/binder-dev-esgf2-2dcmip6-2dcookbook-c36a34 ce6a679615c195ea84a91efd0cbca4b1af9b27eb
- version: 2.3.4
ishabalov/conda3 latest
- version: 2.3.4
haruka0000/tutorial anaconda
- version: 2.3.4
zhisbug/alpa-opt-finetune-dev 1
- version: 2.3.4
karthik383/mind-backend latest
- version: 2.3.4
davidspek/kubeflow-rapidsai 0.2
- version: 2.3.4
prayagpawar/mydocker detect_detectron2_18jan23
- version: 2.3.4
youngkyoonjang/young codalab-using-imageio
Young’s dockers
- version: 2.3.4
vishaljrao/skysql-sa-zeppelin-slim 0.10.1-4-pyr
- version: 2.3.4
smithg26/python-ma769 latest
Anaconda environment with PySAL and pointpats installed
- version: 2.3.4
liaofangjian/myubuntu control_clean16May
- version: 2.3.4
obarads/kaggle_gpu latest
image from https://github.com/Kaggle/docker-python/tree/99f65f009505771369104242a063a2337315065a
- version: 2.3.4
rapidsai/rapidsai-nightly 23.06-cuda11.8-base-rockylinux8-py3.9
[NIGHTLY] RAPIDS from conda installs of the latest dev branches
- version: 2.3.4
rapidsai/rapidsai 23.08a-cuda11.2.2-py3.9
RAPIDS - Open GPU Data Science
- version: 2.3.4
gpuci/rapidsai-arm64 23.08-cuda11.4-devel-ubuntu20.04-py3.9
- version: 2.3.4
rapidsai/rapidsai-dev 23.06-cuda11.8-devel-ubuntu22.04-py3.10
RAPIDS - Open GPU Data Science - From-source developer builds
- version: 2.3.4
bjornjorgensen/jupyter-spark-master-docker 26122023
- version: 2.3.4
wlmsn/slim_bto-rapids_sentiment_analysis flatupd
- version: 2.3.4
jcfaracco/dasf gpu
DASF containers repository
- version: 2.3.4
double12gzh/neovim debian-20230207
neovim config
- version: 2.3.4
mirekphd/ml-scraper-py39-jup 20231011
- version: 2.3.4
truecharts/invoiceninja build20230504172108
- version: 2.3.4
mirekphd/ml-cpu-py39-jup-lite 20230728
- version: 2.3.4
slunav/bindertest-pangeo-2ddata-2dfoss4g-2d2022-fc8dde be51e25e450ed2bf9c68d284b98bf9976dd96e37
- version: 2.3.4
khalidtab/vlq latest
- version: 2.3.4
ivanfei/particle-physics-pack latest
- version: 2.3.4
cqnimin/myaipdf 1.15
- version: 2.3.4
fxzhao/saw_arm v5.4.0
SAW in arm
- version: 2.3.4
ktyle/binder-dev-projectpythiatutorials-2dradar-2dcookbook-efe9e2 8d910de6455778a2ce96d94370039c99bbcbf5b7
- version: 2.3.4
zhenqiwang/kw_fudan 2.0
the project of kw_fudan
- version: 2.3.4
alivx/ml-work-env v1
machine learning jupyter notebook with vscode browser
- version: 2.3.4
hakantekbas/rapids_databricks druntime11rapids2206
- version: 2.3.4
gpucitesting/rapidsai-driver-arm64-pr286 23.06-cuda11.8-devel-ubuntu22.04-py3.9
- version: 2.3.4
edmondop/rapids_databricks 1.0
- version: 2.3.4
nitishrana848/majorapi latest
- version: 2.3.4
ivistsukiok/binder-mdx-http-3a-2f-2fdg02-2edg-2ercos-2enii-2eac-2ejp-2fivis-2dtsukioka-2frepo987-2egit-5a95cd 92c0e6564f946ce1f6c3508fe07aec788f7f6477
- version: 2.3.4
zhangjian77777/image-zj 20221129
- version: 2.3.4
nspunn1993/python-clustering2 latest
- version: 2.3.4
bochuxt/zeppelin101akscli 0.0.3
- version: 2.3.4
xzyaoi/native_hf_models 0.0.10
- version: 2.3.4
maxpain/llama latest
- version: 2.3.4
lendrock/node_16 v1
- version: 2.3.4, 0.2.0
ricardobarroslourenco/rapidsai_runtime_custom_geo v0.2
Pangeo-like image based on rapids to be used as source for Apptainer HPC containers
- version: 2.3.4
mohankrishna225/zeppelin-interpreter 0.10.1_spark_3.1.1
- version: 2.3.4
changyun/assemble-them-all latest
An image that sets the env for 'Assemble-them-all' based on continuumio/anaconda3
- version: 2.3.4
jmccarrell/zeppelin-pivt-base 0.10.1
- version: 2.3.4
ccpa5918/pycaret_img latest
- version: 2.3.4