Coiled is a cloud platform for Python that simplifies scaling data science and machine learning workflows by managing Dask clusters, allowing users to parallelize code with minimal infrastructure overhead.
Coiled provides a managed cloud environment designed to radically simplify the scaling of Python data processing workloads. It primarily serves data scientists and engineers who are hitting the computational limits of a single machine with libraries like Pandas, NumPy, and Scikit-learn. Built by the creators of the open-source Dask library, Coiled automates the deployment and management of Dask clusters, removing complex DevOps hurdles. Its core value proposition is enabling users to parallelize existing Python workflows on powerful cloud hardware with minimal code changes. This allows teams to handle massive datasets and accelerate model training, focusing on analysis rather than infrastructure.
Data scientists, Python developers, and machine learning engineers using the PyData stack (Pandas, Dask, Scikit-learn) who need to scale computations for large datasets beyond a single machine.
Based on 0 reviews
2020
Newark, USA
Free
Includes 1,000 CPU-core-hours/month, up to 10 concurrent users, community support, and access to the Coiled platform for individuals and small teams.
Free
Team
For growing teams. Includes unlimited usage (billed by resource consumption), up to 50 concurrent users, team-focused security, and standard support SLAs.
$1000/mo
Enterprise
For large organizations. Includes unlimited users, advanced security and compliance features, custom deployment options (e.g., in your VPC), SSO, and premium support.
Custom
Choose Databricks for a unified, all-in-one data and AI platform centered on Spark, offering a broader suite of tools for the entire data lifecycle beyond just compute scaling.
A direct competitor that also uses Dask, Saturn Cloud might be preferred by teams looking for a more tightly integrated Jupyter-based user experience from the start.
Opt for SageMaker if you require a fully managed service deeply integrated into the AWS ecosystem for the entire end-to-end machine learning workflow, not just Python computation scaling.
Ray is an open-source framework for scaling Python and AI applications that you can self-host, making it a choice for teams who want full control over their distributed computing infrastructure.
Join thousands of users and see how Coiled can transform your workflow today.
Visit Coiled