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
Users can leverage the online Integrated Development Environment (IDE) to write Python code that runs a simulation or conducts system analysis
See documentation
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
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
Users can use the variables inspector to easily view and edit all variables currently running in the Python Notebook or Model Editor
See documentation
Automatically generate C code for your embedded system controller
Continuously build, test and deploy updates to embedded systems
Import neural networks to deploy in your system design
Reduce risk using modeling, simulation and end-to-end traceability
Generate and export synthetic data to train neural networks
Simplify data exploration and insights gathering through automated tests
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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:
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