Templating project
SDK: Create and manage projects efficiently.
Python Library for Experimental Science and Technology
Plesty helps scientists and engineers build reproducible experimental infrastructure from standardized devices, automated documentation, reusable workflows, and CI/CD-native project checks.
One ecosystem
Plesty combines reusable software components, documentation automation, and project maturity standards into one CI/CD-friendly system for experimental science.
Reusable Python components for devices, experiments, data, and automation patterns.
Project scaffolding, documentation and manual generation, standard checks, and CI/CD integration.
A future-facing home for discovering reusable devices, instruments, workflows, and analyzers.
The lab pipeline
Every PLESTY project follows the same three-stage flow — hardware abstraction, data processing, and experiment orchestration — so components stay composable and reusable across the whole team.
Standardized Python interfaces for lab hardware — one API per instrument, vendor-independent.
Convert raw device output into structured, meaningful data ready for downstream use.
Orchestrate devices and analyzers into reproducible, CI/CD-native measurement workflows.
CI/CD native
Establish a seamless workflow from project templating to documentation and publishing, all integrated with CI/CD pipelines for efficient development and deployment.
SDK: Create and manage projects efficiently.
Edit the template for your specific project needs.
SDK: Manage docs, manuals, and licenses for your project.
SDK: Publish your project and its documentation.
Ready for Plesty v1
Explore the tutorials, check out examples, or dive into the code. Join us in building the future of experimental science.