SLiCAP is an acronym for: S ymbolic Li near C ircuit A nalysis P rogram.
SLiCAP is a more than a symbolic network simulation tool: ‘Symbolic SPICE’.
SLiCAP helps you setting up and solving design equations of electronic circuits.
SLiCAP is a python package fully compatible with Jupyter notebooks.
SLiCAP is free of use licensed under a `Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Speeds up the circuit engineering process
Makes complex symbolic analysis doable
Compatible with Jupyter notebooks
Integrates documentation and design with many easy to use built-in functions for HTML reports with plots, tables, expressions, etc.
Supports design education and knowledge building
Accepts SPICE netlists as input
Concurrent design and documentation
Supports and facilitates Structured Electronic Design
Conversion of hierarchical SPICE netlist into a symbolic or numeric matrix
Symbolic and numeric dc variance analysis: symbolic statistical DC analysis
Symbolic and numeric noise analysis
Symbolic and numeric noise integration over frequency
Symbolic and numeric determination of transfer functions and polynomial coefficients
Symbolic and numeric determination of network solutions
Accuate numeric pole-zero analysis
Root locus plots with an arbitrary circuit parameter as root locus variable
Concurrent stepping of multiple parameters for each type of analysis
Generation of HTML project documentation
Read more about the design approach for analog electronics and the use of SLiCAP.
Structured Electronic Design courses and book