Optipus

A Python-based platform for coordinating experiments, simulations, and AI models in one reliable workflow. Automate complex processes, explore design spaces efficiently, and turn data into better decisions.

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Optipus screenshot

Built for reliable experimentation

Orchestration
Process orchestration

Coordinate parallel processes, experiments, and simulations with dependable execution and clear control.

Interfaces2
File and data interfaces

Connect your tools and equipment through file handlers, data services, OPC UA, and other extensible interfaces.

Logging
Sampling and storage

Capture, store, and stream results with configurable samplers and destinations that fit your workflow.

Experiments
Design of experiments

Plan efficient experiments and explore parameter spaces with automated, optimization-ready strategies.

Plugins
Extensible plugins

Extend the platform with custom Python scripts, neural networks, simulations, and integrations through a clear API.

Science
Simulations and models

Integrate physical models and simulation workflows to validate ideas and accelerate design-space exploration.

A platform that scales with your work

Tutorials

Installation and first steps with Optipus

Set up Optipus and learn your way around the application interface.

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Interfaces

Learn how to connect Optipus to your systems and data sources.

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Sampling & storage

Configure samplers and destinations to manage experimental data.

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Dashboards

Create custom dashboards for monitoring values and controlling connected processes.

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Digital Twins

Create and manage digital twins for connected simulation workflows.

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Using external Python scripts

Extend Optipus with your own scripts, models, and domain-specific logic.

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Ready to build better workflows?

Download the latest Optipus Core and Optipus UI builds, run them locally, and start automating your laboratory or simulation workflow.

Download Optipus