AwesomeCure | cure awesome lists by mining data

AwesomeCure is a Jupyter Notebook library. AwesomeCure has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Analyze and cure awesome lists by mining data from listed Git projects. Awesome lists play a central role within an open source ecosystem by providing an index to the various open source domains. Without this infrastructure, it would be impossible for newcomers to find out what tools, frameworks, data and communities exist. Maintaining an Awesome List requires removing inactive projects on a regular basis. Without these measures, new and still active projects get lost in the multitude of inactive projects. At the same time, they help to concentrate open source resources on active projects instead of reinventing the wheel over and over again. AwesomeCure provides simple tools to analyze Git projects within an Awesome list and get an overview of the represented open source ecosystem. It uses the GitHub API to retrieve project metadata and generate various metrics about the state of the project. As a result, a CSV is created to sort and analyze the listed projects according to the different criteria.