👋 Welcome to Coiled’s documentation!
Coiled is a deployment-as-a-service library for scaling Python. It takes the devops out of
data science to enable data professionals to spend less time setting up networking, managing fleets of
Docker images, creating AWS IAM roles, etc. and more time on their real job.
Hosted Dask Clusters
Securely deploy Dask clusters from anywhere you run Python.
Build, manage, and share conda, pip, and Docker environments.
Use them locally or in the cloud.
Manage Teams & Costs
Manage teams, collaborate, set resource limits, and track costs.
Coiled manages Dask clusters and everything you need to scale Python in
the cloud robustly and easily. Learn more in the Dask clusters docs.
# Launch a cluster with Coiled
cluster = coiled.Cluster(
# Connect Dask to your cluster
from dask.distributed import Client
client = Client(cluster)
Coiled helps you manage software environments by building Docker images
from pip and conda
environment files for you. Learn more in the software environment docs.
# Create a custom "ml-env" software environment
# with the packages you want
conda=["dask", "scikit-learn", "xgboost"],
# Create a Dask cluster which uses your "ml-env"
# software environment
cluster = coiled.Cluster(software="ml-env")
Coiled is currently in beta and welcoming early users!
During this beta period Coiled is free for all beta users.
If you would like to join the beta, please
Sign up for the beta
Thank you for trying out Coiled!