PyRun Documentation

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What is PyRun? ​

PyRun is a platform designed to democratize access to powerful, scalable cloud computing for Python users. It makes running Python code – from simple scripts to complex data processing and AI workflows – incredibly easy, fast, and efficient on your own cloud account (supporting AWS and IBM Cloud), without requiring deep cloud infrastructure expertise.

The Problem:

Working with large datasets, building AI models, and running intensive computations often requires more power than a local machine. Traditional cloud approaches involve:

  • Complex Setup: Manually configuring servers, clusters, security groups, and dependencies on AWS, GCP, or Azure. This is time-consuming, error-prone, and requires specialized skills.
  • High Costs: Inefficient resource use can lead to high cloud bills. Managing scaling effectively is challenging.
  • Steep Learning Curve: Frameworks like Dask, Lithops, Ray, and Cubed are powerful but have their own setup complexities.
  • Vendor Lock-in: Many solutions tie you to a single cloud provider's specific services.

The PyRun Solution:

PyRun tackles these challenges by providing a simplified, integrated platform to run your Python code on your cloud infrastructure. Think of it as the easiest way to leverage serverless and distributed computing for your projects:

  • Effortless Execution: Write standard Python code. PyRun orchestrates the execution on your cloud (AWS, IBM Cloud), handling infrastructure provisioning, scaling, and cleanup.
  • Cloud Flexibility (AWS & IBM Cloud Now, More Coming): PyRun currently integrates deeply with AWS and supports IBM Code Engine. Support for GCP and Azure is planned, allowing future flexibility. (See Roadmap)
  • Simplified Distributed Computing: PyRun offers first-class, seamless integration with Dask, Lithops, Ray, and Cubed. Leverage their power without the usual configuration headaches. PyRun manages runtime environments and backend setup.
  • Focus on Your Code: Spend your time on analysis, modeling, and innovation, not on managing cloud resources. PyRun handles the automation.
  • Integrated Environment: Use the web-based IDE to write code, manage files, customize runtimes, configure frameworks (like Lithops backends), and monitor jobs all in one place.
  • AI-Ready Platform: PyRun provides the scalable compute and environment management needed for data preprocessing, training, and other AI tasks. Explore our AI features and pre-built pipelines for image classification, audio recognition, and more.

Who is PyRun for?

PyRun is ideal for:

  • Data Scientists & Researchers: Process large datasets, run simulations, and train models without infrastructure pain.
  • Machine Learning Engineers: Scale data preprocessing, model training, and hyperparameter tuning tasks easily.
  • Python Developers: Run background tasks, APIs, or any Python script in a scalable, managed cloud environment.
  • Businesses: Accelerate data projects and AI initiatives with a simplified, efficient cloud compute platform.
  • Anyone wanting to use the cloud's power for Python without becoming an infrastructure expert.

In essence, PyRun empowers you to focus on your data and code, letting it automate the complexities of executing on your cloud infrastructure.

Ready to try it? First, complete the Account Setup, then dive into Getting Started!