MathTool | A project that provides code for math calculations

by nerburiya Python Version: Current License: Non-SPDX

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

kandi X-RAY | MathTool Summary

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

A project that provides code for math calculations

Support

Quality

Security

License

Reuse

Support

MathTool has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of MathTool is current.

Quality

MathTool has no bugs reported.

Security

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

License

MathTool 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

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

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

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MathTool Key Features

No Key Features are available at this moment for MathTool.

MathTool Examples and Code Snippets

No Code Snippets are available at this moment for MathTool.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MathTool

You can download it from GitHub.
You can use MathTool 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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