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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
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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.
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
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