mat2obj | mat MatLab files in Python in a similar syntax

by AnthonyAndroulakis Python Version: Current License: No License

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

kandi X-RAY | mat2obj Summary

mat2obj is a Python library. mat2obj has no bugs, it has no vulnerabilities and it has low support. However mat2obj build file is not available. You can download it from GitHub.

Loads .mat MatLab files in Python in a similar syntax to MatLab's.

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Quality

Security

License

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Support

mat2obj has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

mat2obj has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mat2obj is current.

Quality

mat2obj has no bugs reported.

Security

mat2obj has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

mat2obj does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

mat2obj releases are not available. You will need to build from source code and install.

mat2obj has no build file. You will be need to create the build yourself to build the component from source.

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mat2obj Key Features

No Key Features are available at this moment for mat2obj.

mat2obj Examples and Code Snippets

No Code Snippets are available at this moment for mat2obj.

Community Discussions

No Community Discussions are available at this moment for mat2obj.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install mat2obj

You can download it from GitHub.
You can use mat2obj 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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