gdspy | creating GDSII stream files , usually CAD layouts | Development Tools library

by heitzmann Python Version: 1.6.13 License: BSL-1.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | gdspy Summary

gdspy is a Python library typically used in Utilities, Development Tools applications. gdspy has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However gdspy has 2 bugs. You can install using 'pip install gdspy' or download it from GitHub, PyPI.

Gdspy is a Python module for creation and manipulation of GDSII stream files. Key features for the creation of complex CAD layouts are included:. Gdspy also includes a simple layout viewer. Typical applications of Gdspy are in the fields of electronic chip design, planar lightwave circuit design, and mechanical engineering.

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Quality

Security

License

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Support

gdspy has a low active ecosystem.

It has 283 star(s) with 120 fork(s). There are 39 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 181 have been closed. On average issues are closed in 33 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gdspy is 1.6.13

Quality

gdspy has 2 bugs (2 blocker, 0 critical, 0 major, 0 minor) and 90 code smells.

Security

gdspy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gdspy code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

gdspy is licensed under the BSL-1.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

gdspy releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

gdspy saves you 4946 person hours of effort in developing the same functionality from scratch.

It has 10416 lines of code, 358 functions and 26 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed gdspy and discovered the below as its top functions. This is intended to give you an instant insight into gdspy implemented functionality, and help decide if they suit your requirements.

Read GDS from file .
Hobby .
Write mesh to gds file .
updates the data
Initialize the Path object .
Write the bounding box .
Create a fillet of the polygon .
Create a grating .
Compute the Bezier curve .
Find the iobby .

Get all kandi verified functions for this library.

gdspy Key Features

No Key Features are available at this moment for gdspy.

gdspy Examples and Code Snippets

No Code Snippets are available at this moment for gdspy.

Community Discussions

Trending Discussions on gdspy

Why gdspy librarie give a tkinter tcl error when trying to use the layout viewer

QUESTION

Why gdspy librarie give a tkinter tcl error when trying to use the layout viewer

Asked 2019-Jul-02 at 14:07

I'm using the gdspy librarie wich uses tkinter to show a layout preview. But when trying to use :

...

ANSWER

Answered 2019-Jul-02 at 14:07

Looking through the gdspy code, it appears that it assumes that the caller is using grid inside of the root widget. More correctly, it's assuming there are no other widgets in the root window.

It uses grid to inject itself into row zero and column zero of the root window. If your code (or Anaconda itself) is using pack in the root widget, that would explain the error that you get.

Source https://stackoverflow.com/questions/56848883

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install gdspy

You can install using 'pip install gdspy' or download it from GitHub, PyPI.
You can use gdspy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.