Open your workspace and start talking to AI. GitHub Copilot and OpenCode agents launch pre-configured with MCP servers connected to your AWS account — giving you instant, natural-language access to all your cloud resources. No infra setup. No DevOps. Just code.
From agentic AI that talks to your cloud, to automated scaling and real-time monitoring — PyRun gives you the full stack, ready from day one.
Learn MoreWrite standard Python and run it at scale on your own cloud account. PyRun handles provisioning, scaling, and resource optimisation automatically — 80% less infrastructure setup time, time-to-execution reduced from hours to minutes.
Enjoy a VS Code-like web interface, automated runtime builds via environment.yml or Dockerfile, and integrated configuration for essential tools like Lithops.
Leverage built-in, first-class support for powerful frameworks like Lithops (FaaS) and Dask. Easily scale from simple scripts to massively parallel computations.
Gain instant insights into job performance with detailed metrics for CPU, memory, disk, network usage, and task execution timelines. Understand and optimize workloads effectively.
The moment you open a PyRun workspace, an MCP server is already configured and linked to your AWS account. AI coding agents like GitHub Copilot and OpenCode have full visibility into your cloud resources from the very first message.
Describe what you want in plain English — launch a Lambda function, spin up a distributed Lithops job, query S3 — and the agent handles the rest. No manual configuration, no DevOps expertise required.
GitHub Copilot
MCP • AWS Connected
Deploy my Lithops function to Lambda and store the results in the pyrun-results S3 bucket.
Sure! I can see your AWS account via MCP. Deploying the function to us-east-1 Lambda and configuring S3 output to pyrun-results…
✓ Function deployed successfully. Execution started.
80%
Less infra setup time
0
Manual config steps
∞
Cloud resources accessible
Write Python, Run Anywhere - No Infrastructure Hassle
Our simplified overview shows how PyRun's IDE, automated builds, distributed compute, and monitoring connect behind the scenes—so you can stay focused on outcomes.
Running complex Python tasks — data pipelines, AI training, distributed analytics — traditionally demands deep cloud expertise and hours of configuration. Most teams spend more time on infrastructure than on actual work.
PyRun changes that. With an agentic AI already connected to your AWS account via MCP, every workspace launches with GitHub Copilot or OpenCode ready to deploy Lithops jobs, manage S3, trigger Lambda functions, and run Dask clusters — all through natural language.
Get Started
Open a workspace. Your AI agent is already connected to AWS and ready to deploy. No setup required.
Get Started for FreeSee how PyRun helps users simplify cloud computing and accelerate their projects.
"PyRun is a powerful open source tool for executing Python parallel applications at massive scale... Its integration with OpenNebula is going to enable developers to focus on their applications and easily scale them up..."
VP of Open Source Innovation at OpenNebula Systems
"Replacing Spark with PyRun/Lithop in our cloud spatial metabolomics platform METASPACE helped us make processing tens of thousands of datasets from thousands of users easily scalable and adaptable to varying load."
European Molecular Biology Laboratory
"Using PyRun, we could easily deploy a big-data analytics workload easily across different cloud vendors. Only a few commands using PyRun/Lithop provides us extremely parallel execution environments promptly using AWS Lambda"
Kookmin University
"PyRun has increased our use-case data throughput to 3x faster ingestion compared to our previous standard version in an HPC environment."
Ph.D. at Barcelona Supercomputing Center
"We found PyRun convenient for speeding up our transcriptomics pipelines running in the cloud, thanks to support for bioinformatics data formats."
Cyfronet
"We tested at Telefonica how PyRun provides very fast scalability and provides automated elastic data processing."
Telefonica Research
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