Skip to main content

Tools to make klayout, the standalone, and python environments work better together

Project description

Build Status Downloads


Tools to make klayout, the standalone, and python environments work better together.

Particular focus on script-based layout of integrated circuits. There are some python-driven scripters and others that use the klayout language. Both can use tools to get certain simple information about klayout. The problem is that their environments and even execution engines are extremely different.

The purpose of this package is to provide simple klayout-related tools in a way that is highly robust to the environment in which it is being interpreted.

  • No import errors when you are trying to test/debug a pure python aspect of an otherwise klayout GSI script.
  • No inconsistencies between GSI and system namespace.


Step 1: install the python package

From PyPI

pip install lygadgets

or from source

git clone
pip install klayout-gadgets

Step 2: link to klayout

You have a new terminal script that can link all kinds of stuff to the proper places in the klayout configuration directories.

lygadgets_link lygadgets

Warning for OSX Catalina: lygadgets requires a klayout environment with python >3.6. A suitable klayout binary that works with OSX Catalina and python 3 has not been released as of 10/25/19.

Definition of terms

lypackage (or salt package): handled by the klayout Package Manager. It includes a grain.xml. These can define macros, DRC, python packages, etc.

salt package: A lypackage that is published and available through the klayout Package Manager.

pypackage: python package included as part of a lypackage.

system python: the interpreter that runs when you type python in the command line.

system namespace: the modules that are visisble to system python

GSI (generic scripting interface): an interpreter than can run python and Ruby within the special namespace available to klayout.

GSI/klayout namespace modules visible in GSI. This includes regular python builtins, Pypackages located in salt packages. And sometimes the system namespace, but only if you launch klayout from the command line.

GUI mode: running scripts when there an open application window. In this mode, GSI is the primary interpreter.


Linking all sorts of things into klayout scope

See the "examples" directory for more detailed discussion and demonstration.

lygadgets_link symlinks stuff (pypackages, technologies, salt packages) to the right places, just as if you had downloaded them through salt. Symlinking is especially useful if you have git project that changes, and you want changes to be immediately reflected in the klayout application.

Note on Windows: symlinking requires running as administrator

These things can be linked

  • lypackages (i.e. klayout_dot_config)
  • python packages
  • python modules
  • klayout technologies, either .lyt file or enclosing tech directory
  • macros: ruby or python

lygadgets_link has flags --force to overwrite anything that is currently there. However, you won't have to do this often because links are symbolic, meaning they update as you update the file/directory. The --copy flag lets you make static copies instead of links.

Linking python packages

Right after pip install mypack, run lygadgets_link mypack, and it will show up to klayout's GSI. This creates a symlink from source files to the ~/.klayout/python directory.

As of v0.1.25, this command can also trigger linking of other dependencies. The trigger list is a package attribute called __lygadget_link__, defined in __init__. Here is where you put pip dependencies:

      install_requires=['future', 'xmltodict'],

Now, we also put them in

# lygadgets/
__version__ = '0.1.25'
__lygadget_link__ = ['future', 'xmltodict']

Some packages that require lygadgets linking:

Linking technologies

This usually goes like

lygadgets_link SOEN-PDK/tech/OLMAC

and then you will be able to access all the features of that technology (layers, pcells, properties, ...) within system python or GSI like this

from lygadgets import pya
the_tech = pya.Technology.technology_by_name('OLMAC')

Cell translation

See "tests/" for demonstrations.

There are at least ten python-based layout languages targeted for photonics. I have no idea how many there are for electronics. None of them are compatible. What some folks do is translation by-hand followed by rigorous regression testing. This might work for a PDK with 10's of really simple PCells. But imagine an actual, real codebase that has 1,000's of PCells, sometimes embedded within a hierarchy of other PCells. The permutations of parameters is staggering. Regression testing will not work*.

The solution offered here is to take advantage of the one universal layout specification: GDS. An example call would be

# Setup a klayout cell
pya_layout = pya.Layout()
pya_cell = pya_layout.create_cell('newname')
# Make a phidl device
phidl_device = some_device(10, 20)
# Translate
lygadgets.anyCell_to_anyCell(init_device, pya_cell)

Under the hood, lygadgets is taking the phidl Device, writing it to GDS, loading that GDS into pya_cell, then deleting the GDS. In the future, I hope to add support for IPKISS, nazca, gdspy, and maybe others on request.

*Geometric regression testing is useful. See lytest for that. It's practically necessary for large codebases being modified by multiple people. "Multiple people" can include you and yourself in the future who will have forgotten everything.

PCell translation

This is handled in lygadgets.autolibrary.WrappedPCell. Example call:

from lygadgets.autolibrary import WrappedPCell
from olmac_pcells import wg_to_snspd

pya_layout = pya.Layout()
WgToSNSPD = WrappedPCell(wg_to_snspd)

# You now have a pya PCell. You can put it in your layout multiple times with different parameters
wg_cell1, wg_ports1 = WgToSNSPD('My_SNSPD').pcell(pya_layout, params={'wgnw_length': 200})
wg_cell2, wg_ports2 = WgToSNSPD('My_SNSPD').pcell(pya_layout, params={'wgnw_length': 400})

This translation can also go from klayout -> phidl.

Make your non-klayout PCells available for GUI layout

We can now convert any PCell into a klayout PCell. The klayout GUI has a decent interface for inserting PCells interactively.

# Macro: klayout_Library.lym. Find it in SOEN-PDK
from olmac_pcells import wg_to_snspd, htron
class OLMAC_Library(lygadgets.WrappedLibrary):
    tech_name = "OLMAC"
    all_funcs_to_wrap = [wg_to_snspd, htron]
    description = "NIST SOEN"
OLMAC_Library()  # This registers it with the GUI and the GSI

(This is still a little buggy).


See the "examples" directory for more detailed discussion and demonstration.

Detects the interpreter in which code is being run. Provides a pya that is safe to import. In system interpreter, this will break

import pya

but this will never break:

from lygadgets import pya

however, of course, you then cannot try to use the GUI features of pya. You can't use it at all if you do not have the klayout standalone: pip install klayout.

If you have the klayout python standalone, that is what you will get as "pya". Then, its layout database features will be available, just like the regular GSI version of pya in batch mode. In GSI mode, lygadgets gives the GSI pya so as not disrupt things.

More aggressive: patch_environment

GSI pya contains more than the standalone klayout.db. Your exciting python scripts that were run using klayout -r and all of its dependencies that auto-run a whole bunch of stuff in their __init__.pys -- all of that stuff contains references to pya and GUI features of pya (Example: SiEPIC_Tools). So you definitely cannot do python

The command lygadgets.patch_environment() solves this problem by hijacking the way python finds packages. Just put it at the very top of, after importing lygadgets. Now, you no longer need to do from lygadgets import pya. GUI calls will be stifled. The downside is that this aggressive approach is less likely to work cross-platform. It is still being debugged on Windows and Anaconda.

Backwards compatibility with GSI is the top priority of patch_environment. If it detects the GSI, it will do nothing.

Upcoming features and ideas

  • detect version of lypackages and pypackages to determine whether or not to force link update
  • Port translation

Things that lygadgets does not do

  • no non-standard required dependencies (only future and xmltodict)
  • no reference to particular technologies (e.g. OLMAC) or specific types of properties (e.g. "WAVEGUIDES.xml"), except for the sake of documentaion/illustration
  • no calling'klayout -r')
  • no phidl in the implementation.
  • klayout.db is allowed if it speeds it up, but it cannot be required

Authors: Alex Tait, Adam McCaughan, Sonia Buckley, Jeff Chiles, Jeff Shainline, Rich Mirin, Sae Woo Nam

National Institute of Standards and Technology, Boulder, CO, USA

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lygadgets-0.1.36.tar.gz (25.1 kB view hashes)

Uploaded Source

Built Distribution

lygadgets-0.1.36-py3-none-any.whl (24.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page