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Jupyter Notebook Online

for System Analysis

Collimator's Python Notebook is a text-based programming environment that allows users to write code and scripts for system analysis, parameter sweeps, test and automation, and more


Jupyter notebook online

Users can leverage the online Integrated Development Environment (IDE) to write Python code that runs a simulation or conducts system analysis
See documentation

Jupyter notebook online

Notebook with 1000s of functions

Users can use all Python standard libraries, Matplotlib, Numpy, Pandas, Control, Scipy functions by default, and import other open source AI or ML libraries (e.g., Tensorflow, Pytorch) as needed
See documentation

Flexible for problem solving

Users can interactively solve problems using Python commands or format their code with text, tables and formulas to use as a written report
See documentation

Variable inspector for traceability

Users can use the variables inspector to easily view and edit all variables currently running in the Python Notebook or Model Editor
See documentation

Integrates seamlessly with your existing engineering tools

One Platform

Many Capabilities


Automatically generate C code for your embedded system controller


Continuously build, test and deploy updates to embedded systems

Deploy AI and

Import neural networks to deploy in your system design

Model Based

Reduce risk using modeling, simulation and end-to-end traceability

Synthetic Data

Generate and export synthetic data to train neural networks

Verification and

Simplify data exploration and insights gathering through automated tests

Discover how the most innovative companies in the world are using Collimator today

Collimator is trusted by engineers across industries

“It is amazing to use Python, run on a web browser and collaborate on the cloud […] This is undoubtedly 10x better than what I've used before!"
GNC Engineer, Aerospace and Defense Manufacturing
"Collimator has major improvements over Simulink plus it is in the browser so it is portable and more powerful from a computational standpoint"
Mechatronic Engineer, Elektromontaż Rzeszów S.A.
“I wanted the flexibility of Python, and the suite of features from other engineering modeling and simulation software. I now have it all!"
R&D Engineer,
Control and Automation

Nesa Innovation Labs increases engineering efficiency by 20%

Sanjay, a Control Systems engineer in the automotive industry, used Collimator to design MBD and ISO26262 compliant battery management systems. Using Collimator, he was able to save:

  • 20% est. engineering efficiency gained
  • $45k est. savings from moving to Collimator
To full case study

See Collimator in action