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2 layers131 × 20 mmIotRollerBlinds, the printed circuit board in 3D

A Python-based hardware description language for PCBs for higher-level (block-diagram / system-architecture level) PCB design through libraries of directly reusable subcircuit generators.

Size
131 × 20 mm
Copper layers
2
Thickness
3.66 mm
Parts
41
Nets
24
Pads
123
Tracks, vias
305, 60
Pours
5
Routed
Yes
KiCad
KiCad 8.0 (file 20240108)
Created
9 Jul 2020
Updated
2 Nov 2026

Overview

IotRollerBlinds is an open-source printed circuit board by BerkeleyHCI, from the BerkeleyHCI/PolymorphicBlocks repository on GitHub, published under the BSD-3-Clause licence. It is a 2-layer board of 131 × 20 mm with 41 parts on 24 nets, routed with 305 tracks and 60 vias.

README

README.md

Polymorphic Blocks

Python

subcircuit generator library based hardware description language for circuit board design

Polymorphic Blocks is an open-source, Python-based hardware description language (HDL) for schematic-equivalent design of printed circuit boards (PCBs). Its library of components provide a high-level abstraction for circuit design while subcircuit generators automate the calculation of fine details. Abstract component interfaces enable these libraries to be general across applications and component vendors.

Generates stable KiCad netlists to be routed in the KiCad PCB Editor.

Built Boards

Many boards have been built with this system, from a mechanical keyboard macropad, to battery-powered IoT devices, to a USB source-measure unit. Check out the examples page!

Example: from HDL to Keyboard

Overall flow: write HDL -> generate netlist -> import into KiCad PCB editor -> place and route (optionally iterating with HDL) -> export BoM and Gerbers -> optionally generate JLC PCBA data

A simplified version of the getting started tutorial is this snippet for a 3x4 mechanical keyboard:

python
from edg import *

class Keyboard(SimpleBoardTop):
    def contents(self) -> None:
        super().contents()

        self.usb = self.Block(UsbCReceptacle())
        self.reg = self.Block(LinearRegulator(3.3 * Volt(tol=0.05)))
        self.connect(self.usb.gnd, self.reg.gnd)
        self.connect(self.usb.pwr, self.reg.pwr_in)

        with self.implicit_connect(
            ImplicitConnect(self.reg.pwr_out, [Power]),
            ImplicitConnect(self.reg.gnd, [Common]),
        ) as imp:
            self.mcu = imp.Block(IoController())
            self.connect(self.usb.usb, self.mcu.usb.request())

            self.sw = self.Block(SwitchMatrix(ncols=3, nrows=4))
            self.connect(self.sw.cols, self.mcu.gpio.request_vector("sw_col"))
            self.connect(self.sw.rows, self.mcu.gpio.request_vector("sw_row"))

            self.enc = imp.Block(DigitalRotaryEncoder())
            self.connect(self.enc.a, self.mcu.gpio.request("enc_a"))

The system:

  • provides a library of subcircuit generators, like switch matrices and USB-C ports, that automatically include supporting components like decoupling capacitors and pullup resistors
  • automatically selects generic parts like resistors and diodes against builtin parts tables
  • performs basic electrical checks on the design, including voltage and current limits, automating some common datasheet parameter checking
  • runs fully locally

This generates:

  • a netlist that can be imported into the KiCad PCB editor
    • ... including hierarchical data, allowing subcircuit replication / channelization
    • ... and have stable tstamps, allowing incremental updates to in-progress board layouts
  • a JLCPCB-compatible BoM
    • including a postprocessing script to shift part rotations from KiCad-generated component placements for JLC PCBA
  • a JSON representation of the full design, including connectivity and solved circuit values, to integrate with custom / third-party tooling

macropad.webp

Advanced capabilities include:

  • multi-board support including connector-pair management
  • cross-hierarchy packing of multi-pack devices like dual op-amps and quad resistors
  • standard abstract component interfaces, allowing for custom implementations of parts like resistors (including from a parts table), and microcontrollers
  • full support for user component definition; very little is hard-coded into the infrastructure

Getting Started

text
pip install edg

On first run, the system will automatically download a compatible Java runtime for the core compiler.

Then, work through building a mechanical keyboard (including subcircuit layout replication) in the getting started tutorial.

Also check out the reference documentation for a concise list of capabilities.

Some documentation is available for library parts construction. Be warned, this is more complex and less polished. See the library block definition tutorial using KiCad schematic import and the library construction reference.

Compared to Hierarchical Schematics

The main goal of this HDL is to enable the creation of general subcircuit libraries that can be reused across many applications.

While graphical schematic tools support hierarchical sheets, direct re-use is limited because the sheets encode a lot of per-design information, like a specific resistor values or footprints. Different users may have different requirements (e.g., different resistor values for a LED based on its input voltage, or preference for through-hole vs. surface-mount components).

This HDL addresses those limitations with two mechanisms:

  • Generators allow the implementation of the subcircuit to depend on high-level parameters. A LED circuit could automatically size its resistor based on the input voltage.
  • Abstract parts allow the subcircuit to use generic parts with generic interfaces, which many parts can implement. An abstract resistor interface could be implemented by through-hole and surface-mount resistors, enabling a generic LED circuit and deferring the choice. The top-level designer can then specify refinements to make the specific choice of parts.

Both of these combined also present a higher level of abstraction for the board designer, more at the system architecture level-of-design than schematics. We suspect this will also make it easier for novices to design boards, reducing the knowledge barrier to entry.

Graphical Tooling

The fundamental design structure is the hierarchical block diagram, and we expect graphical tooling can layer cleanly on top of the HDL core. Our current focus is on the HDL core and parts libraries, but we are open to collaborations with those interested in building graphical tooling. We suspect this may be particularly useful for novice users.

We built a proof-of-concept mixed textual / graphical IDE plugin for IntelliJ / PyCharm. It has some nifty concepts (including a block diagram visualizer and design space sweep) but is rough around the edges and only sees basic maintenance. It could be a good source for ideas for community developers.

Additional Notes

Project Status

This is functional has been used to produce a wide variety of boards over the years. While the core is reasonably stable, as a pre-v1.0-release there are no formal guarantees of API stability. In practice, deprecation shims are / will be maintained for common features if APIs change.

This started as an academic research project and continues to be developed as a personal project post-graduation, including for designing boards for fun.

(Some) Dragons Be Ahead

Many functional boards have been built with this system and most of the library parts have been physically tested (some across many designs), but there may still be bugs and edge cases. You are recommended to sanity check generated designs during layout.

Be prepared for things to be rough around the edges. The error messages in particular are not great and need work.

Building boards with the included libraries should be relatively straightforward, but building custom library parts is a more complex process.

Scope

The current libraries best support intermediate-level (and simpler) PCB designs. This includes circuits with discrete microcontrollers, microcontroller modules (like ESP32s), and socketed dev boards. Libraries include common subcircuits like switch matrices, digitally attached peripherals like I2C sensors, voltage converters, and some analog signal conditioning circuits. Check out the subcircuits library folder and parts library folder.

There is no prescribed architecture and microcontrollers are not required.

ESPHome boards are a great fit.

Designs that do not decompose neatly(ish) into subcircuits blocks are a poor fit.

There is no support for high-speed digital design (like DDR memories). There are some experimental RF subcircuits.

The electrical checks are not a design assurance tool and only automate some of the most common datasheet checks. More advanced parameters, especially performance characteristics not related to maximum ratings, are currently out of scope of the electronics model.

Parameter Engine

This system has a concept of parameters (variables, think voltages and currents) that can be attached to blocks and propagate through ports. This is limited to directed assignments, with the goal of deterministic, predictable compilation.

Assertions are supported on parameters to enforce electrical correctness checks.

Solving may happen within a single block with arbitrary Python code (for example, find the best set of E12 resistor values to implement a divider), but not across multiple blocks. Search involving multiple blocks must be handled by the block exposing tuning knobs and the user turning those knobs with recompilation.

Parts Data

Most passive parts / discretes are selected from a 2022 JLCPCB parts table (included in this repository). JLC no longer makes parts tables publicly available.

This parts table still works well and boards have been built using this table as recently as 2026. Some basic parts have drifted and some parts may be no longer stocked.

Contributing

We take pull requests and would love to see contributions and collaborations!

See CONTRIBUTING.md for details.

Papers

This started as an academic project, though with the goal of broader adoption. Check out our papers (all open-access), which have more details:

Misc

  • What is EDG?: Embedded Device Generation (or more generally Electronic Device Generation) was a prior version of this project that focused on algorithms and models for embedded device synthesis, though it lacked a user-facing component. This project is a continuation of that work focusing on an end-to-end system, and for most of its development cycle has been called edg. But, for the purposes of writing research papers, naming collisions are confusing and bad, and we chose to keep the repo and paper name consistent.

Parts

41
QtyValueFootprintReferences
1G***edg:Symbol_Ducklingduck
1connConnector_JST:JST_XH_B6B-XH-A_1x06_P2.50mm_VerticalBJ3
1drv.icPackage_SO:HSOP-8-1EP_3.9x4.9mm_P1.27mm_EP2.41x3.1mmBU3
1drv.isen_resResistor_SMD:R_1206_3216MetricBR10
1drv.vm_cap0Capacitor_SMD:C_0603_1608MetricBC9
1drv.vm_cap1Capacitor_SMD:CP_Elec_8x10BC10
1ferriteInductor_SMD:L_0603_1608MetricBFB1
1fuseFuse:Fuseholder_Littelfuse_Nano2_154xBF1
1gndedg:TestPoint_TE_RCT_0805BTP1
1jlc_th.th1edg:JlcToolingHole_1.152mmBH1
1jlc_th.th2edg:JlcToolingHole_1.152mmBH2
1jlc_th.th3edg:JlcToolingHole_1.152mmBH3
1ledr.packageLED_SMD:LED_0603_1608MetricBD2
1ledr.resResistor_SMD:R_0603_1608MetricBR5
1mcu.en_pull.cCapacitor_SMD:C_0603_1608MetricBC8
1mcu.en_pull.rResistor_SMD:R_0603_1608MetricBR4
1mcu.icRF_Module:ESP-WROOM-02BU2
1mcu.progConnector:Tag-Connect_TC2030-IDC-FP_2x03_P1.27mm_VerticalBJ4
1mcu.vcc_cap0Capacitor_SMD:C_0805_2012MetricBC6
1mcu.vcc_cap1Capacitor_SMD:C_0603_1608MetricBC7
1prot_3v3Diode_SMD:D_SOD-323BD1
1pwrConnector_JST:JST_PH_B2B-PH-K_1x02_P2.00mm_VerticalBJ1
1pwr_outConnector_JST:JST_PH_B2B-PH-K_1x02_P2.00mm_VerticalBJ2
1qwiicConnector_JST:JST_SH_SM04B-SRSS-TB_1x04-1MP_P1.00mm_HorizontalBJ5
1qwiic_pull.scl_resResistor_SMD:R_0603_1608MetricBR8
1qwiic_pull.sda_resResistor_SMD:R_0603_1608MetricBR9
1reg_3v3.boot_capCapacitor_SMD:C_0603_1608MetricBC2
1reg_3v3.en_resResistor_SMD:R_0603_1608MetricBR3
1reg_3v3.fb.bottom_resResistor_SMD:R_0603_1608MetricBR2
1reg_3v3.fb.top_resResistor_SMD:R_0603_1608MetricBR1
1reg_3v3.hf_in_capCapacitor_SMD:C_0603_1608MetricBC1
1reg_3v3.icPackage_TO_SOT_SMD:SOT-23-6BU1
1reg_3v3.power_path.in_cap.c[0]Capacitor_SMD:C_1206_3216MetricBC3
1reg_3v3.power_path.in_cap.c[1]Capacitor_SMD:C_1206_3216MetricBC4
1reg_3v3.power_path.inductorInductor_SMD:L_Sunlord_SWPA4030SBL1
1reg_3v3.power_path.out_capCapacitor_SMD:C_0805_2012MetricBC5
1v3v3edg:TestPoint_TE_RCT_0805BTP3
1vinedg:TestPoint_TE_RCT_0805BTP2
1vin_sense.bottom_resResistor_SMD:R_0603_1608MetricBR7
1vin_sense.top_resResistor_SMD:R_0603_1608MetricBR6

The 40 most common of 41 parts.

Questions

How big is the IotRollerBlinds PCB?

It measures 131 × 20 mm and has 2 copper layers, 3.66 mm thick.

What parts does the IotRollerBlinds use?

41 parts. The full list of its parts is on this page, with links to each part's symbol and footprint where PCBKit's library has them.

Where can I download the IotRollerBlinds KiCad files?

From the BerkeleyHCI/PolymorphicBlocks repository on GitHub, at the commit this page was made from: the board is examples/IotRollerBlinds/IotRollerBlinds.kicad_pcb. PCBKit opens the board in the browser, with nothing to install.

Can I use the IotRollerBlinds design in my own project?

Its repository publishes it under the BSD-3-Clause licence: you may reuse it on that licence's terms (keep the author's notice, and for a copyleft licence share your changes alike).

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