How-to guides

I want to…

• analyze my own network: Build a substrate

• understand what a result means: Read a result

• know whether a run will finish: Estimate the cost before you run

• compute over every state: Sweep states and subsystems

• save, export, or plot a result: Save and load results, Export results, Visualize results

• reproduce a published number: A complete worked example and Reproduce results from earlier versions of IIT

• run on many cores or a cluster: Run computations in parallel, Run a sweep as an HTCondor campaign

• work with an AI assistant: Use PyPhi with an AI assistant, The PyPhi MCP server

• fix an error: FAQ and troubleshooting

Start

• Build a substrate
• Read a result
• Estimate the cost before you run
• Configure PyPhi
• Use PyPhi with an AI assistant
• The PyPhi MCP server

Results

• Sweep states and subsystems
• Save and load results
• Export results
• Visualize results

Scale up

• Run computations in parallel
• Cache results
• Run PyPhi on a cluster (CHTC)
• Run a sweep as an HTCondor campaign

Go deeper

• Search across grains
• Query relational structure
• Explore substrate parameter landscapes
• Control tie-breaking
• Reproduce results from earlier versions of IIT

Help

• FAQ and troubleshooting