mbp_analytics | web app analyzing historic data from a German tennis website
kandi X-RAY | mbp_analytics Summary
kandi X-RAY | mbp_analytics Summary
mbp_analytics is a Python library. mbp_analytics has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
A web app analyzing historic data from a German tennis website
A web app analyzing historic data from a German tennis website
Support
Quality
Security
License
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Support
mbp_analytics 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.
mbp_analytics has no issues reported. There are 14 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of mbp_analytics is current.
Quality
mbp_analytics has no bugs reported.
Security
mbp_analytics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mbp_analytics 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
mbp_analytics 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.
Installation instructions are not available. Examples and code snippets are available.
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mbp_analytics Key Features
No Key Features are available at this moment for mbp_analytics.
mbp_analytics Examples and Code Snippets
No Code Snippets are available at this moment for mbp_analytics.
Community Discussions
No Community Discussions are available at this moment for mbp_analytics.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mbp_analytics
You can download it from GitHub.
You can use mbp_analytics 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 mbp_analytics 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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