ppl-stats | Python scripts to generate statistical data

by jjsz12 Python Version: Current License: Apache-2.0

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

kandi X-RAY | ppl-stats Summary

ppl-stats is a Python library. ppl-stats has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Python scripts to generate statistical data for the Pittsburgh Pinball League.

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Quality

Security

License

Reuse

Support

ppl-stats 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.

ppl-stats has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ppl-stats is current.

Quality

ppl-stats has no bugs reported.

Security

ppl-stats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ppl-stats is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ppl-stats 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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ppl-stats Key Features

No Key Features are available at this moment for ppl-stats.

ppl-stats Examples and Code Snippets

No Code Snippets are available at this moment for ppl-stats.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ppl-stats

You can download it from GitHub.
You can use ppl-stats 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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