CACE is a framework for analog and mixed-signal circuits that enables automatic characterization under various conditions and with Monte Carlo and mismatch analysis. After all parameters have been run under the given conditions, CACE will generate a summary showing the circuit performance.
[!NOTE] The latest documentation can be viewed online at cace.readthedocs.io.
CACE currently supports two primary methods of installation for it and its dependencies.
Please read the installation instruction in the documentation under "Installation Overview".
Works for macOS and Linux (x86-64 and aarch64) as well for Windows via WSL2. Recommended, as it is more integrated with your filesystem and overall has less upload and download deltas.
See Nix-based installation in the docs for more info.
You'll need to bring your own compiled utilities, but otherwise, simply install CACE as follows:
python3 -m pip install --upgrade cace
To invoke the CLI:
cace [datasheet] [output] [options]
For more information about the usage of CACE please have a look at "Usage Guides" in the documentation.
There exist already numerous designs that use CACE. We have assembled a list of different designs that you can use as reference: Example Designs.
FAQs
Circuit Automatic Characterization Engine
We found that cace demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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