MMAT | Collection of scripts used in priming experiments
kandi X-RAY | MMAT Summary
kandi X-RAY | MMAT Summary
MMAT is a Python library. MMAT has no bugs, it has no vulnerabilities and it has low support. However MMAT build file is not available. You can download it from GitHub.
Collection of scripts used in priming experiments.
Collection of scripts used in priming experiments.
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Quality
Security
License
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Support
MMAT has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
MMAT has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of MMAT is current.
Quality
MMAT has no bugs reported.
Security
MMAT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
MMAT 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.
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MMAT releases are not available. You will need to build from source code and install.
MMAT has no build file. You will be need to create the build yourself to build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MMAT
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MMAT
MMAT Key Features
No Key Features are available at this moment for MMAT.
MMAT Examples and Code Snippets
No Code Snippets are available at this moment for MMAT.
Community Discussions
No Community Discussions are available at this moment for MMAT.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MMAT
You can download it from GitHub.
You can use MMAT 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.
You can use MMAT 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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