Squash-ML | Amateur squash match prediction for Ottawa squash players

by danielholmes839 Python Version: Current License: No License

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

kandi X-RAY | Squash-ML Summary

Squash-ML is a Python library. Squash-ML has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Amateur squash match prediction for Ottawa squash players

Support

Quality

Security

License

Reuse

Support

Squash-ML has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Squash-ML has no issues reported. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Squash-ML is current.

Quality

Squash-ML has no bugs reported.

Security

Squash-ML has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Squash-ML 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

Squash-ML releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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Squash-ML Key Features

No Key Features are available at this moment for Squash-ML.

Squash-ML Examples and Code Snippets

No Code Snippets are available at this moment for Squash-ML.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Squash-ML

You can download it from GitHub.
You can use Squash-ML 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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