BKM (Best Known Method) DAG generator for wafer process flows
Project description
bkm
BKM (Best Known Method) DAG generator for wafer process flows.
Build, validate, fingerprint, and match Directed Acyclic Graphs that describe semiconductor wafer process flows from parquet data.
Installation
pip install bkm
pip install bkm[viz] # with graphviz rendering
Quick start (Python API)
from bkm import BKM
bkm = BKM(
version="v1",
process_data={
"in": ["a"],
"a": ["b", "c"],
"b": ["out"],
"c": ["out"],
},
)
print(bkm.fingerprint())
print(bkm.print_graph())
bkm.save("v1.json")
CLI usage (bkm-generator)
Process all parquet files in a folder and assign BKM versions:
bkm-generator --data_folder ./training_data --update
Subsequent runs assign wafers to existing BKMs and flag unmatched as unknown:
bkm-generator --data_folder ./new_data
Documentation
bkm.md—BKMclass API, DAG concepts, edge inference algorithmbkm_generator.md— multi-BKM registry, loaf composition, CLI pipeline
License
MIT © 2026 yRocket
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