coiled
Python client for coiled.io dask clusters
Decision gist · record as of 2026-08-14
Yes, if you use Dask and need to scale to cloud infrastructure without managing infrastructure yourself. The low install friction and active maintenance are positive signals. However, verify the Elastic-2.0 license terms for your use case, and confirm whether coiled.io's service requires a paid account—the client library alone is not sufficient without access to the backend service.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Coiled.io account and cloud credentials (AWS or other supported provider) needed to actually provision clusters.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
Elastic-2.0 (unclear) — Licensed under Elastic-2.0, but license treatment is marked unclear in the metadata. You should verify the exact terms before using in proprietary or commercial contexts, as Elastic licenses can carry specific restrictions.
last release 2026-08-14 (0 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,437,184 downloads/mo, #3,898 on PyPI
Alternatives
Verify before relying
pip install coiled
import coiled
cluster = coiled.Cluster()
cluster.close()- Whether Elastic-2.0 license permits commercial use without restrictions or additional agreements.
- Whether the coiled.io service itself requires a paid subscription beyond the open-source client library.
What it is and what it does
Coiled is a client library that bridges your local Python environment to the coiled.io deployment service, which provisions and manages Dask clusters in the cloud. It abstracts away the complexity of setting up cloud infrastructure, configuring networking, and managing software environments—you call Coiled's API to create a cluster, and the service handles resource allocation and orchestration on your behalf.
The package depends on dask and distributed for the core parallel computing engine, boto3 for AWS integration, fabric and paramiko for remote execution, and several utility libraries for configuration and monitoring. It's designed for teams running large-scale analytics or machine learning workloads that need to scale beyond a single machine without manually provisioning and configuring cloud infrastructure.
Use it for
- Scale a Dask DataFrame operation across multiple cloud instances without manually provisioning VMs or configuring networking.
- Run distributed machine learning training jobs that require more compute than your local machine provides.
- Provision temporary compute clusters for batch analytics jobs, then tear them down to control costs.
- Integrate cloud-based Dask clusters into a CI/CD pipeline for large-scale data processing.
- Manage multiple Dask clusters across different cloud regions or providers from a single Python client.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Dask and need to scale to cloud infrastructure without managing infrastructure yourself.
The low install friction and active maintenance are positive signals. However, verify the Elastic-2.0 license terms for your use case, and confirm whether coiled.io's service requires a paid account—the client library alone is not sufficient without access to the backend service.
Install
coiled on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance as of the release date. The 24 runtime dependencies include substantial libraries like dask, distributed, boto3, and fabric, which may add complexity to your environment but are standard for cloud-based distributed computing.
Requires Python 3.9 or later. Coiled.io account and cloud credentials (AWS or other supported provider) needed to actually provision clusters.
License in practice
Licensed under Elastic-2.0, but license treatment is marked unclear in the metadata. You should verify the exact terms before using in proprietary or commercial contexts, as Elastic licenses can carry specific restrictions.
Quickstart
pip install coiled
import coiled
cluster = coiled.Cluster()
cluster.close()Verify before relying
- Whether Elastic-2.0 license permits commercial use without restrictions or additional agreements.
- Whether the coiled.io service itself requires a paid subscription beyond the open-source client library.
Package facts
| License | Elastic-2.0 unclear |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 24 packagesaiohttpbackoffboto3certificlickdaskdistributedfabricfilelockgilknockerhttpxinvokeipywidgetsjmespathjsondiffpackagingparamikopip-requirements-parserpipprometheus-clientrichtomltyping-extensionswheel |
| Maintenance | Actively maintained 0 days since the last release |
| First released | |
| Downloads | 1,437,184 / month, #3,898 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: coiled-1.135.3-py3-none-any.whl
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See also dask · distributed · dask-jobqueue · prefect-dask · dask-cuda · dask-ml · ipyparallel · dask-glm · aws-parallelcluster · dask-cudf-cu12