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Coiled.io

Coiled is a lightweight compute platform for Python data engineers and scientists. Scale your workloads to thousands of machines in the cloud without Docker or Kubernetes. Process terabytes of data with familiar tools like Pandas, Xarray, and Prefect.

Authority
46 reach 5 · trust 5 · quality 21 · freshness 15
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listed
llms.txt
https://coiled.io/llms.txt
Sections
8
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42
Size
8506 bytes
Popularity rank
#900399
Country
United States
Categories
Infrastructure
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:45:18.145Z
Last checked
2026-10-21T20:12:05.315Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T20:12:03.038Z. Cached copy · Source on coiled.io

# Coiled.io

> Coiled is a lightweight compute platform for Python data engineers and scientists. Scale your workloads to thousands of machines in the cloud without Docker or Kubernetes. Process terabytes of data with familiar tools like Pandas, Xarray, and Prefect.

## Overview

- [Home](https://coiled.io/index.html): Coiled is a lightweight compute platform for Python data engineers and scientists. Scale your workloads to thousands of machines in the cloud without Docker or Kubernetes. Process terabytes of data with familiar tools like Pandas, Xarray, and Prefect.

## Examples

- [How Popular is Matplotlib?](https://coiled.io/example/arxiv.html): How Popular is Matplotlib?
- [Process Satellite Images in Parallel](https://coiled.io/example/batch-gdal.html): Process thousands of satellite images in parallel using GDAL
- [Train a PyTorch Model on a GPU](https://coiled.io/example/gpu-job.html): Run a PyTorch training script on a GPU with one line of code
- [Hyperparameter Optimization with Optuna](https://coiled.io/example/hpo.html): Scale up hyperparameter optimization using Optuna and Dask
- [Process NASA Earth Data in the Cloud](https://coiled.io/example/nasa-cloud-datasets.html): Analyze terabyte-scale NASA datasets with minimal code and maximum efficiency
- [Title](https://coiled.io/example/pattern.html): Summary
- [Process Large Datasets with Polars in the Cloud](https://coiled.io/example/polars.html): Process hundreds of gigabytes of data with a few lines of Python code
- [Analyze Uber & Lyft Tipping Patterns in NYC](https://coiled.io/example/uber-lyft-tips.html): Discover tipping behavior patterns in NYC ride-sharing data using Dask and Coiled
- [Process Geospatial Data with Xarray](https://coiled.io/example/xarray.html): Calculate soil saturation levels across every US county using cloud computing

## Resources

- [Customer Stories](https://coiled.io/customers.html): From startups to global enterprises, Coiled powers critical data science and machine learning workloads for trusted organizations worldwide.
- [Security](https://coiled.io/security.html): Lorem ipsum dolor sit amet, consectetur adipiscing elit
- [Coiled Value](https://coiled.io/value.html): Understanding the business value and ROI of Coiled
- [Why Coiled?](https://coiled.io/why.html): Understanding the principles and architecture behind Coiled

## Company

- [Contact](https://coiled.io/contact.html): Contact the Coiled team for questions about scaling your Python workloads in the cloud. Get support for Dask, distributed computing, and our cloud platform. We're here to help with your data engineering and scientific computing needs.
- [Pricing](https://coiled.io/pricing.html): Pricing plans for Coiled cloud compute platform

## Customers

- [How Double River reduced simulation time from days to hours for faster trading decisions](https://coiled.io/customers/double-river.html): Double River Investments, a quantitative hedge fund, uses Coiled to run complex simulations and process
…

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