secml | A Python library for Secure and Explainable Machine

by FrancescoCrecchi Python Version: Current License: Non-SPDX

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

kandi X-RAY | SecML Summary

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

A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @ https://twitter.com/secml_py

Support

Quality

Security

License

Reuse

Support

SecML 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.

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

It has a neutral sentiment in the developer community.

The latest version of SecML is current.

Quality

SecML has no bugs reported.

Security

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

License

SecML 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

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

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

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SecML Key Features

No Key Features are available at this moment for SecML.

SecML Examples and Code Snippets

No Code Snippets are available at this moment for SecML.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SecML

You can download it from GitLab.
You can use SecML 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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