Hi, thanks for reaching out. At the moment, there isn't any public information available regarding the replacement of chardet library. I suggest raising a feature request so you and others can upvote to help the product team prioritize this request. Hope this helps. Thanks.
LGPL license restriction in azureml-core phyton library
Hello all,
We are using azureml-core phyton library to interact with Azure Machine Learning Workspace. The library is hosted on https://pypi.org/project/azureml-core--> https://pypi.org/project/azureml-core/ It is authored by Microsoft and maintained by pypi community members.
One of the dependencies of azureml-core is "chardet" phyton library and it has LGPL license restriction. https://pypi.org/project/chardet/ --> chardet
Our compliance team would like us to avoid the use of LGPL licensed open source libraries to avoid future license implications. I am wondering if there is an alternative to azureml-core phyton library? I noticed that there are two GitHub initiatives to replace chardet . Please refer to below links:
https://github.com/psf/requests/issues/4848
https://github.com/encode/httpx/issues/1018
I am wondering whether Microsoft is planning to taken an action on the replacement of chardet library and avoid LGPL licensing issues.
Thanks in advance
Mehmet Baserdem