# 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 alternative data faster, enabling rapid iteration on trading strategies.
- [How EOLAS Insight Delivers Environmental Intelligence](https://coiled.io/customers/eolas.html): EOLAS Insight, an environmental mapping company, uses Coiled to process petabyte-scale satellite data and deliver timely actionable insights for conservation and land management.
- [How Ergodic cut data processing from 8 hours to 30 minutes](https://coiled.io/customers/ergodic.html): Ergodic Investment Group, a startup hedge fund and fintech company with just three people, is using Coiled to run sophisticated trading strategies that require massive computational power.
- [How Guac scales demand forecasting to reduce food waste](https://coiled.io/customers/guac.html): Guac, a demand forecasting company for grocery retailers, uses Coiled to predict sales accurately across retailers of any size, helping reduce food waste with minimal infrastructure overhead.
- [How KoBold Metals transformed mineral exploration](https://coiled.io/customers/kobold.html): KoBold Metals, an innovative mineral exploration company, uses Coiled to process continental-scale geospatial data and accelerate the discovery of critical battery metals.
- [How Lawrence Berkeley National Laboratory processes 55 years of weather patterns](https://coiled.io/customers/lbnl.html): Lawrence Berkeley National Laboratory uses Coiled to analyze massive energy datasets, helping policymakers navigate America's clean energy transition with unprecedented computational capabilities.
- [How NextRoll cut costs by 70% switching from EMR to Coiled](https://coiled.io/customers/nextroll.html): NextRoll, a digital ad tech company, transformed their data processing pipeline with Coiled, cutting costs by 70% while dramatically improving developer experience and innovation.
- [How the National Snow and Ice Data Center processed 200 TB of data for $150](https://coiled.io/customers/nsidc.html): Using Coiled to process satellite datasets at NASA's data center, transforming 200TB of glacier data for just $150 while making cloud computing accessible to scientists.
- [Supporting environmental science with open science computing](https://coiled.io/customers/rich-signell.html): Rich Signell, veteran oceanographer and data scientist, uses Coiled to transform how environmental scientists access and process petabyte-scale data.
- [How Space Intelligence processes hundreds of TBs of satellite data](https://coiled.io/customers/space-intelligence.html): Space Intelligence processes hundreds of terabytes of satellite data to create high-resolution maps of tropical forests, using Coiled to scale their Python geospatial stack efficiently.

## Legal

- [Accessibility](https://coiled.io/accessibility.html): Accessibility
- [Code of Conduct](https://coiled.io/code-of-conduct.html): Code of Conduct
- [Coiled Cloud Service Level Agreement](https://coiled.io/coiled-cloud-sla.html): Coiled Cloud Service Level Agreement
- [Coiled Subscription Services Agreement](https://coiled.io/coiled-subscription-services-agreement.html): Coiled Subscription Services Agreement
- [Coiled Support and Maintenance Terms](https://coiled.io/coiled-support-and-maintenance-terms.html): Coiled Support and Maintenance Terms
- [Coiled Vendor Services Agreement](https://coiled.io/coiled-vendor-services-agreement.html): Coiled Vendor Services Agreement and Statement of Work
- [Cookie Policy](https://coiled.io/cookie-policy.html): Coiled Cookie Policy
- [Privacy Policy](https://coiled.io/privacy-policy.html): Coiled Privacy Policy
- [Terms and Conditions](https://coiled.io/terms-and-conditions.html): Coiled Terms and Conditions

## Product

- [Batch Jobs](https://coiled.io/product/batch.html): Run any code, including Python, compiled code, and shell scripts, on cloud infrastructure using Coiled Batch Jobs. Scale your workloads to thousands of machines with simple configuration and zero maintenance.
- [Dask on the Cloud](https://coiled.io/product/dask.html): Scale your pandas, NumPy, and scikit-learn code from laptop to cloud with Dask. Easy, fast, and cost-effective.
- [Serverless Python Functions](https://coiled.io/product/serverless-python.html): Deploy Python functions to the cloud with zero infrastructure management. Run any Python code, including ML models and data processing, with flexible compute resources. Scale from laptops to GPU clusters without Docker or Kubernetes. Perfect for data scientists and ML engineers.

## Use Cases

- [AI and Machine Learning on the cloud](https://coiled.io/use-cases/ai.html): Deploy Python functions to the cloud with zero infrastructure management. Run any Python code, including AI models and data processing, with flexible compute resources. Scale from laptops to GPU clusters without Docker or Kubernetes. Perfect for data scientists and ML engineers.
- [Dataframes](https://coiled.io/use-cases/dataframe.html): Scale your Pandas, Polars, and DuckDB workflows to process terabytes of tabular data in the cloud. Faster than Apache Spark with a familiar Pandas-like API. Perfect for ETL, machine learning, and large-scale data analysis.
- [Geo](https://coiled.io/use-cases/geo.html): Process planetary-scale geospatial data with Xarray, Zarr, and GeoTIFFs. Scale your geospatial analytics to terabytes of data without memory limitations. Used by NASA, JPL, NCAR, and environmental research teams around the world.
- [Prefect Integration](https://coiled.io/use-cases/prefect.html): Scale your Prefect workflows with Coiled