LiAg | LiXin Avatar Generator ) is an open source 3D avatar | Graphics library

by realJustinLee JavaScript Version: Current License: MIT

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

kandi X-RAY | LiAg Summary

LiAg is a JavaScript library typically used in User Interface, Graphics, Three.js, WebGL applications. LiAg has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

LiAg (Li Xin (Justin Lee) Avatar Generator) is an open source 3D avatar modelling software implemented in React.js and WebGL, which provides web side 3D avatar modeling and rendering service, and users can export the avatars into STL files which can be used for 3D printing.

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Support

LiAg has a low active ecosystem.

It has 70 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

LiAg has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LiAg is current.

Quality

LiAg has no bugs reported.

Security

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

License

LiAg is licensed under the MIT License. This license is Permissive.

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

Reuse

LiAg releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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LiAg Key Features

No Key Features are available at this moment for LiAg.

LiAg Examples and Code Snippets

No Code Snippets are available at this moment for LiAg.

Community Discussions

Trending Discussions on LiAg

Python replace special character of many different languages

QUESTION

Python replace special character of many different languages

Asked 2021-Mar-30 at 12:26

I'm reading tables from a website where one of the columns is university name and some of the names have special characters which are the following (but the names are written like I put them here, so is not a task I can fix by reading the web in a different way):

...

ANSWER

Answered 2021-Mar-30 at 12:26

As Deceze has commented, if the data is corrupted at source there is no guarantee that you can undo the corruption. However, using the data you provided we can make some progress.

Firstly, the vast majority of the strings in your list can be fixed by encoding as latin-1 and then decoding as UTF-8.

Source https://stackoverflow.com/questions/66849737

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

Vulnerabilities

No vulnerabilities reported

Install LiAg

Run the following code in the terminal to install and run the project.

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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