From experiment design to runnable research code.
Design once with a platform-independent ExperimentSpec, then target PsychoPy, jsPsych, or Psychtoolbox through one structured generation workflow.
Three platforms. One experiment model.
PsychoPy, jsPsych, and Psychtoolbox are parallel output targets built on the same visual design and ExperimentSpec.
PsychoPy
PythonDesktop and laboratory experiments in the PsychoPy runtime.
Visual design target
jsPsych
JavaScriptBrowser-based experiments using the jsPsych ecosystem.
Visual design target
Psychtoolbox
MATLABPrecision laboratory experiments using Psychtoolbox.
Visual design target
Built for behavioral experiment design
Not a chatbot or code snippet tool. A platform-independent workflow for experiment specification, target-specific generation, audit, and ZIP delivery.
Structured experiment design
Turn trial flow, timing, responses, and data fields into a clear, machine-readable experiment specification.
Parallel platform targets
Choose PsychoPy, jsPsych, or Psychtoolbox without changing the experiment's core design model.
Condition and trial control
Define practice trials, formal blocks, randomization rules, condition factors, and trial counts in one place.
Design-time validation
Catch missing timing, response mappings, condition fields, and data schema issues before export.
Explicit delivery scope
Generate only after the complete design, access method, target platform, and exact adapter profile pass server-side validation.
Research-oriented workflow
Designed around behavioral experiment logic rather than generic code chat.
How it works
Four steps from visual experiment design to a platform-specific project package.
Define the experiment
Describe the paradigm, trial sequence, timing, responses, and conditions.
Build a structured specification
PsyCoder organizes the experiment into a platform-independent design model.
Validate the design
Check whether timing, response rules, condition fields, and data outputs are complete.
Generate and audit
Compile for the selected platform, review the audit result, and download the complete ZIP.
Docs
Learn how to design experiments, generate code, and integrate PsyCoder Studio into your research workflow.
Getting Started
Choose a target platform and build your first experiment in under 5 minutes.
Experiment Builder
Deep dive into trial window configuration, timing, and response mapping.
Code Generation
How PsyCoder compiles your design into production-ready experiment code.
Generation Security
Understand access checks, encrypted provider credentials, review gates, and private artifact delivery.
About
Built by researchers, for researchers. Making experiment code generation accessible, reproducible, and fast.
Audited
Generation pipeline
Research-first
Design philosophy
Private
Project artifacts
Contact
Questions or feedback? Reach out anytime.
Frequently asked questions
Everything you need to know about PsyCoder Studio.
What is PsyCoder Studio?
A visual experiment design and code generation platform for psychology research. It helps structure trials, timing, conditions, responses, and data fields before generating platform-specific code.
Which platforms can I design for?
PsychoPy, jsPsych, and Psychtoolbox are parallel targets in the Builder. Runtime generation availability is checked against the complete design and an exact verified adapter profile.
Is one platform primary?
No. All three platforms share the same ExperimentSpec and project workflow. Their runtime adapters are developed and validated independently.
Do I need to know how to code?
Not for basic experiment design. The goal is to let researchers describe and configure the experiment visually, while still producing readable code.
Where is my project saved?
Local workspaces stay in this browser. After signing in, projects can also be saved to your private Supabase-backed account.
Ready to build your experiment?
Open the workspace and start designing your first experiment.
Start Building