Package Usage : pypi : dask
Explore the latest package usage data for dask in the pypi ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 1,817
Total downloads: 456,876,498
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: 2023.8.1, 2023.4.0, 2023.3.1
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: 2023.9.1, 2023.3.2, 2023.3.1
jupyter/tensorflow-notebook x86_64-tensorflow-2.14.0
Scientific Jupyter Notebook Python Stack w/ TensorFlow from https://github.com/jupyter/docker-stacks
- version: 2023.8.1, 2023.3.1, 2023.4.0
jupyter/pyspark-notebook x86_64-spark-3.5.0
Python and Spark Jupyter Notebook Stack from https://github.com/jupyter/docker-stacks
- version: 2023.3.2, 2023.8.1, 2023.3.1
rasa/rasa 3.6.21
- version: 2022.10.2
jupyter/datascience-notebook x86_64-python-3.11.6
Data Science Jupyter Notebook Python Stack from https://github.com/jupyter/docker-stacks
- version: 2023.3.1, 2023.9.3, 2023.4.0
continuumio/anaconda3 5.3.0
The Most Trusted Distribution for Data Science
- version: 2023.6.0
bitnami/airflow 2.10.1
Bitnami container image for Apache Airflow
- version: 2023.3.2, 2023.9.0, 2023.3.1, 2023.1.0, 2023.10.1
bitnami/airflow-worker 2.10.2
🛑 DEPRECATED Bitnami container image for Apache Airflow Worker
- version: 2023.10.1, 2023.3.2, 2023.3.1, 2023.8.0, 2023.1.0
bitnami/airflow-scheduler 2.10.2
Bitnami container image for Apache Airflow Scheduler
- version: 2023.1.0, 2023.3.2, 2023.9.0, 2023.10.1, 2023.3.1
apache/zeppelin 0.12.0
Apache Zeppelin
- version: 0.18.2, 2022.2.0
anyscale/ray-ml 2.38.0
- version: 2021.11.2, 2022.10.1
acryldata/datahub-actions v1.2.0
- version: 2023.9.3, 2023.2.0, 2023.3.1, 2023.5.1
tensorflow/tfx 1.16.0
- version: 0.18.2
ccdlstaging/dr_downloaders 1.45.8
- version: 2023.2.0
broadinstitute/terra-jupyter-aou 2.1.13
- version: 0.18.2
ccdlstaging/dr_affymetrix 1.45.8
- version: 2023.2.0
ccdlstaging/dr_salmon 1.45.8
- version: 2021.3.0, 2023.2.0
mdurant/dask-kubernetes latest
Dask scheduler, workers and notebook with full numerical stack
- version: 0.17.0, 0.17.0 1.g8b2bebe
comsatel/jupyter 0.2.0
- version: 2022.8.0
continuumio/anaconda-pkg-build main-rockylinux-8
- version: 0.18.2
acryldata/datahub-ingestion-base 8a17ba1
Base image for datahub-ingestion containers
- version: 2023.9.0, 2023.9.3, 2023.3.1
rapidfort/airflow-worker 2.7.1
RapidFort optimized, hardened image for Apache Airflow Worker
- version: 2023.6.0, 2023.1.0
rapidfort/airflow-scheduler 2.7.1
RapidFort optimized, hardened image for Apache Airflow Scheduler
- version: 2023.1.0
atapbinder/binder-dev-alex-2dip-2dconda-606e23 f693cb9c1545dc48b02f63a44204528297b3f685
- version: 2022.2.0
mirekphd/ml-cpu-py38-jup-cust 20230623
- version: 2023.1.1, 2023.4.0
mirekphd/ml-cpu-py37-jup-cust 20230107
- version: 2022.2.0
rapidfort/airflow 2.7.1
RapidFort optimized, hardened image for Apache Airflow
- version: 2023.1.0
jinahub/vlxgoxlv 63f767a79c6406e1924429fe
- version: 2022.2.0
ccdlstaging/dr_no_op 1.45.8
- version: 2023.2.0, 2021.3.0
mirekphd/ml-gpu-py38-cuda112-cust 20230623
- version: 2022.2.0
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: 2022.10.1, 2023.3.1
comsatel/airflow 2.7.1
- version: 2022.2.0
jinahub/11yxatzh 63c90b12abe629a625c1dcfe
- version: 2022.2.0
ccdlstaging/dr_smasher 1.45.8
- version: 2023.2.0, 2021.3.0
ccdlstaging/dr_illumina 1.45.8
- version: 2023.2.0, 2021.3.0
ccdlstaging/dr_transcriptome 1.45.8
- version: 2021.3.0, 2023.2.0
lsstts/sal-sciplat w_latest_c0040.003
- version: 2023.3.0, 2023.4.0
mesosphere/mesosphere-jupyter-service latest
- version: 1.0.0
araalinetworks/devproxy 0.9.91
- version: 2023.3.1