rankhub 0.0.1

rankhub - is a Python package to generate GitHub users rankings

rankhub - is a Python package to generate GitHub users rankings

Introduction

This project is intended to be a Python package in order to retrieve data from GitHub using its public API with an application token. Currently, as this project is under-development, a simple use-case is proposed in order to retrieve data from Salamanca (Spain) GitHub users as to generate a ranking with the most active users in public repositories throughout 2019.

Top GitHub Users from Salamanca (Spain) sorted by Public Contributions throughout 2019

As already mentioned, this ranking contains all the GitHub users from Salamanca sorted by the amount of public contributions just between 01/01/2019 until the current date 21/09/2019.

Rank	User	Avatar	Public Contributions	Most Used Language	Used Languages
1		Emirodgar	2187	HTML	HTML, JavaScript, CSS
2		tomhendra	851	JavaScript	JavaScript, CSS, HTML
3		cbjuan	360	Python	JavaScript, HTML, Jupyter Notebook, Python, Shell
4		alvarob96	293	Jupyter Notebook	Jupyter Notebook, Python
5		JParzival	216	Jupyter Notebook	JavaScript, Python, Jupyter Notebook, Java, TypeScript, R, PHP, HTML

This is just the leading Top 5 GitHub users from the generated ranking, so the complete ranking can be found in salamanca/ in both JSON and Markdown format.

Note that both the ranking and the package will be updated in order to create a 2019 ranking resume at the end of the year! So make sure to watch and star the repo in order to get tuned for updates!

Contribute

As this is an open source project it is open to contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas.

Also there is an open tab of issues where anyone can contribute opening new issues if needed or navigate through them in order to solve them or contribute to its solving.

Disclaimer

This project is made with research purposes only, so to create a Python package to make it usable with Python in order to retrieve GitHub stats that can further be used for data analysis.

As the use case is just an approach, note that it can have somer errors related to data retrieval from GitHub. Also the generated ranking has no intention of generating any kind of competition between the involved people in the generated ranking/s.