[OC] Intensity of the Interaction between Programming Languages in the top 100 GitHub projects

This page summarizes the projects mentioned and recommended in the original post on /r/dataisbeautiful

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  • Github-Ranking

    :star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新

  • I used the data from here: https://github.com/EvanLi/Github-Ranking/blob/master/Top100/Top-100-stars.md and parsed each project to get the percentage of used languages. Then I created a graph based on their interactions within the projects, where the edges have weights based on those percentages. Then eliminated languages with low interactions

  • PythonDataScienceHandbook

    Python Data Science Handbook: full text in Jupyter Notebooks

  • You are right, Jupyter is more of an environment, so not a language. On the other hand, GitHub added it and other frameworks in the "Language" section, so that is why it was picked up in the graphic. You can see an example here: https://github.com/jakevdp/PythonDataScienceHandbook

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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