It addresses a gap in existing EDA tools by automatically checking component interfaces against datasheet specifications (e.g., voltage levels, pin functions, operating conditions) using a graph-based representation of the design.
Pinscope reviews schematics the way a good senior engineer does: with the datasheets open.
Give it a netlist, a BOM, and your datasheet PDFs. It builds a graph of your design, reads each IC's datasheet, and checks the circuit around every part against what the manufacturer actually specifies — reference application, pin functions, absolute maximums, recommended operating conditions. Every finding points at the datasheet page that backs it up, so you can judge the call yourself instead of trusting a black box.
The reason it exists: ERC passes boards that don't work. Your EDA tool has no idea that the CH340E you powered from 5 V drives its TXD at 4.5 V into an MCU pin that maxes out at 3.6 V, or that the net you labeled UART5_TX lands on a pin whose alternate-function table only offers UART5_RX, or that the LDO's bypass pin you left floating costs you an order of magnitude in output noise. None of that is an electrical rule violation. All of it is in the datasheet, and nobody has time to re-read 400 pages per part on every revision.
.asc or EDIF 2.0.0 .edn — exportable from KiCad, Altium, OrCAD, Allegro, Xpedition, EasyEDA, Eagle) into a queryable bipartite graph of components and nets.find_connected_components, get_net_for_pin, get_pintable) and pull pages from a connected part's datasheet when a finding spans an interface. It files findings with severity, reasoning, and page citations.A post-pass normalizes findings conservatively: it can merge duplicates and downgrade severity, never upgrade. If the reviewer hedged, the report hedges.
It's a reviewer, not an oracle. It misses things, and it will occasionally question a choice you made on purpose — that's what the citations are for.
simple_project/ is a small MSPM0
A comprehensive datasheet-backed electrical schematic reviewer
Similar projects matched by category, topics, and programming language.
Harness Engineering is a methodology for improving coding agent outputs by carefully crafting the environment around them—providing curated context, tools, and executable constraints that encode an organization’s nonfunctional requirements and cumulative lessons.
A 28.9 million parameter language model runs on an $8 ESP32-S3 microcontroller entirely on-device, generating simple stories at about 9.5 tokens per second.
mimic captures traffic from any iOS or web app and automatically generates a Python client library that lets you call the app's API like a regular library.