ladybug-legacy | : beetle : Ladybug is an environmental plugin for Grasshopper

by ladybug-tools Python Version: Ver.0.0.66 License: Non-SPDX

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

kandi X-RAY | ladybug-legacy Summary

ladybug-legacy is a Python library. ladybug-legacy has no bugs, it has no vulnerabilities and it has low support. However ladybug-legacy build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Ladybug: A Plugin for Environmental Analysis (GPL) started by Mostapha Sadeghipour Roudsari. Copyright (c) 2013-2015, Mostapha Sadeghipour Roudsari. Ladybug is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. Ladybug is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with Ladybug; If not, see

Support

Quality

Security

License

Reuse

Support

ladybug-legacy has a low active ecosystem.

It has 171 star(s) with 80 fork(s). There are 60 watchers for this library.

It had no major release in the last 12 months.

There are 27 open issues and 261 have been closed. On average issues are closed in 241 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ladybug-legacy is Ver.0.0.66

Quality

ladybug-legacy has 0 bugs and 0 code smells.

Security

ladybug-legacy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ladybug-legacy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ladybug-legacy has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ladybug-legacy releases are available to install and integrate.

ladybug-legacy has no build file. You will be need to create the build yourself to build the component from source.

ladybug-legacy saves you 20414 person hours of effort in developing the same functionality from scratch.

It has 40181 lines of code, 967 functions and 147 files.

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

Top functions reviewed by kandi - BETA

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

Updates a component
Checks if the given component is newer than ghenv
Compares two ports
Compare two ports
Add a component to the given document
Parse version and date
Check if the input component has changed
Inserts a new UO
Return a list of components contained in a GHPython document
Checks if component is a legy bug
Checks if given parameter is a float
Calculate pressure from wind spd

Get all kandi verified functions for this library.

ladybug-legacy Key Features

No Key Features are available at this moment for ladybug-legacy.

ladybug-legacy Examples and Code Snippets

No Code Snippets are available at this moment for ladybug-legacy.

Community Discussions

No Community Discussions are available at this moment for ladybug-legacy.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ladybug-legacy

You can download it from GitHub.
You can use ladybug-legacy 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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