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Brian Schlining is a serious Javavore who loves pushing code. Brian is a nine-to-fiver who works best in the morning (around 9 am).

Brian's developer personality is very similar to Eduardo Pareja Tobes's but Eduardo is less of a C aficionado. There is also an uncanny similarity between Brian's activity stream and those of Ross Huggett, Antoine Chauvin, Taconut, and Matej Lazar.

It seems like Brian is—or should be—friends with soumyasd. With this in mind, it's worth noting that soumyasd speaks more languages. There is also an obvious connection between Brian and kenji yoshida, swhgoon, shunwang, and Rocky Madden.

These days, Brian is most actively contributing to the repositories: nctoolbox/nctoolbox, hohonuuli/vars, hohonuuli/maven-scalatra-skeleton, hohonuuli/scilube, and hohonuuli/vcr4j.


The two following graphs show Brian Schlining's average weekly and daily schedules. These charts give significant insight into Brian's character as a developer. The colors in the charts indicate the fraction of events that are pushes, watching, issue comments, new repos or branches, and new issues.

Note: an attempt has been made to show these plots in in the correct timezone (based on Brian's location listed on their GitHub profile) but this procedure is imperfect at best.

We already know that Brian loves pushing code but the following chart sheds some light onto what Brian does with their open source time. In the full event stream analyzed for this report, there are a total of 354 events recorded for Brian. The colors in the pie chart below indicate the number of events that are pushes, watching, issue comments, new repos or branches, and new issues.

Brian has contributed to repositories in 13 languages. In particular, Brian seems to be a pretty serious Java expert with a surprisingly broad knowledge of nesC as well. The following chart shows the number of contributions Brian made to repositories mainly written in Java, nesC, Scala, Matlab, and Objective-C.

Note: like stats? Of course you do. Did you know that you can get access to the raw data that was used to generate this page in JSON format?

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