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Tom Swirly is a champion C++ coder (one of the 3% most active C++ users) who loves pushing code. Tom is a fulltime hacker who works best in the afternoon (around 2 pm).

Tom's developer personality is very similar to Michael Frey's but Michael has a less consistent weekly schedule. There is also an uncanny similarity between Tom's activity stream and those of Tzu-ping Chung, Simone Campagna, Mike Boyle, and Geoffrey Irving.

It seems like Tom is—or should be—friends with paddywwoof. With this in mind, it's worth noting that paddywwoof is a more serious forker. There is also an obvious connection between Tom and Jamie Peter Goodwin, Sunny Gonna, silantnode, and Nik Bougalis.

These days, Tom is most actively contributing to the repositories: rec/echomesh, tipam/pi3d, rec/rippled, lerugray/pickett, and hgrecco/pint.


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

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

We already know that Tom loves pushing code but the following chart sheds some light onto what Tom does with their open source time. In the full event stream analyzed for this report, there are a total of 3254 events recorded for Tom. The colors in the pie chart below indicate the number of events that are pushes, new issues, issue comments, wiki edits, and new repos or branches.

Tom has contributed to repositories in 10 languages. In particular, Tom seems to be a pretty serious C++ expert with a surprisingly broad knowledge of Python as well. The following chart shows the number of contributions Tom made to repositories mainly written in C++, Python, C, JavaScript, and Shell.

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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