chipify

Examples

datasheet.yaml is a documented template that shows the full datasheet format: a swept parameters block (lists and the range/linspace/ logspace DSL) and a tests block with pass/fail specs, optional captured signals, and derived measure expressions.

plugins/run_info_tab.py is a complete TabPlugin example — copy it into ~/.chipify/plugins/ (or $CHIPIFY_PLUGINS) to get a “Run Info” tab in the GUI; see PLUGINS.md for the plugin API.

Running it

Chipify is a wrapper around external EDA tools, so to run a sweep end-to-end you need:

1. Ngspice and Xschem installed and on your PATH (see the top-level README).
2. The Xschem testbench schematics referenced by the tests keys — here tb_ota_op and tb_ota_gain — together with the PDK/models your netlists use. These are design-specific and are not included in this repo; replace the tb_* names with your own testbenches.

Then place the datasheet in your input folder (default datasheets/) and run:

chipify-cli -c datasheet.yaml          # headless
# or open the GUI and select it:
chipify

Results are written to the output folder (default out/).

Validating the format without simulating

You can confirm a datasheet parses against the schema (no Ngspice/Xschem needed):

python -c "import yaml; from chipify.schema import validate_datasheet; \
validate_datasheet(yaml.safe_load(open('examples/datasheet.yaml'))); print('OK')"

This site is open source. Improve this page.