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diff --git a/_posts/2011-06-20-stargit.textile b/_posts/2011-06-20-stargit.textile new file mode 100644 index 0000000..6f13bf2 --- /dev/null +++ b/_posts/2011-06-20-stargit.textile @@ -0,0 +1,286 @@ +--- +title: StarGit +layout: post +category: community +--- + +Last year I did a "small exploration of GitHub":http://lumberjaph.net/graph/2010/03/25/github-explorer.html to show the various communities using "GitHub":http://github.com and how they work. I wanted to do it again this year, but I was lacking time and motivation to start over. A couple of months ago, I got a message from "mojombo":https://twitter.com/#!/mojombo asking me if I was planning to do a new poster. This triggered the motivation to work on it again. + +This time I got help from "Alexis":https://twitter.com/#!/jacomyal to provide you with an awesome tool: "a real explorer of your graph":http://www.stargit.net, but more on this later ;) + +<img class="img_center" src="/static/imgs/stargit.png" title="StarGit" /> + +And of course, "the poster":http://labs.linkfluence.net. + +<img class="img_center" src="/static/imgs/github-poster-v2.png" title="GitHub Poster" /> + +h2. The data + +All the data are available! Last year I got some mails asking me for the dataset. So this time I asked first if I could release the data with the code and the poster, and the anwser is yes! So if you're intereseted, you can download it. + +The data are stored in mongodb, so I provide the dump which you can easily use: + + # @wget http://maps.stargit.net/dump/github.tgz@ + # @tar xvzf github.tgz@ + # @cd github@ + # @mongorestore -d github .@ + +Now you can use mongodb to browse the imported database. There is 5 collections: profiles / repositories / relations / contributions / edges. + +h2. Methodology + +Last year I did a simple "follower/following" graph. It was already interesting, but it was also *really* too simple. This time I wanted to go deeper in the exploration. + +The various step to process all this data are: + + * using the GitHub API, fetch informations from the profiles. + * when all the profiles are collected, informations about the repositories are fetched. Only forked repositories are kept. + * "simple" relations (followers/following) are kept and used later to add weight to relations. + * tag user with the main programming language they use. Using the GitHub API, I was able to categorize ~40k profiles (about 1/3 of my whole dataset). + * using the GeoNames API, extract the name of the country the user is in. This time, about 55k profiles were tagged. + * fetch contributions for each repositories + * compute a score between the author of the contribution and the owner of the repo + * add a weight to each edges, using the computed score and "+1" if the developer follow the other developer + +For all the graphs, I've used the following colors for: + + * <span style="color:#C40C0F">Ruby</span> + * <span style="color:#4C9E97">JavaScript</span> + * <span style="color:#3F9E16">Python</span> + * <span style="color:#8431C4">C (C++, C#)</span> + * <span style="color:#29519E">Perl</span> + * <span style="color:#9D61C4">PHP</span> + * <span style="color:#C4B646">JVM (Java, Clojure, Scala)</span> + * <span style="color:#90C480">Lisp (Emacs Lisp, Common Lisp)</span> + * <span style="color:#9C9E9C">Other</span> + +h2. Exploring + +Feel free to do your own analysis in the comments :) For each map, you'll find a PDF of a map, and the graph to explore using gephi (in GEXF or GDF format). + +h3. but first, some numbers + +I've collected: + + * 123 562 profiles + * 2 730 organizations + * 40 807 repositories + +This took me about a month in order to collect the data and to build the adapted tools. + +h4. Accounts creations + +The following chart show the number of account created by month. "Everyone" means the total of accounts created. You can also see the numbers for each communities. + +On the "Everyone" graph, you can see a huge pick around April 2008, that's the date GitHub "was launched":https://github.com/blog/40-we-launched. + +For most of the communities, the number of created accounts start to decrease since 2010. I think the reason is that most of the developers from those communities are now on GitHub. + +<script language="javascript" type="text/javascript" src="/static/js/jquery.js"></script> +<script language="javascript" type="text/javascript" src="/static/js/jquery.flot.js"></script> + +<div id="placeholder" style="width:800px;height:300px;"></div> + +<ul class="actions"> + <li class="minibutton"><input class="fetchSeries" type="button" value="Everyone" href="/static/json/global.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="C" href="/static/json/C.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="JVM" href="/static/json/JVM.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="JS" href="/static/json/JavaScript.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="Lisp" href="/static/json/Lisp.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="Perl" href="/static/json/Perl.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="PHP" href="/static/json/PHP.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="Python" href="/static/json/Python.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="Ruby" href="/static/json/Ruby.json"></li> + <li class="minibutton"><input class="fetchSeries" type="button" value="Uncategorized users" href="/static/json/Other.json"></li> + <li class="minibutton"><input class="resetSeries" type="button" value="reset"></li> +</ul> + +<script type="text/javascript"> +$(function () { + var options = { + lines: { show: true }, + points: { show: true }, + xaxis: { mode:"time" } + }; + var data = []; + var placeholder = $("#placeholder"); + + $.plot(placeholder, data, options); + + // fetch one series, adding to what we got + var alreadyFetched = {}; + + $("input.resetSeries").click(function() { + alreadyFetched = {}; + data = []; + $.plot(placeholder, data, options); + }); + + $("input.fetchSeries").click(function () { + var button = $(this); + + // find the URL in the link right next to us + var dataurl = button.attr('href'); + + // then fetch the data with jQuery + function onDataReceived(series) { + // extract the first coordinate pair so you can see that + // data is now an ordinary Javascript object + var firstcoordinate = '(' + series.data[0][0] + ', ' + series.data[0][1] + ')'; + + // let's add it to our current data + if (!alreadyFetched[series.label]) { + alreadyFetched[series.label] = true; + data.push(series); + } + + // and plot all we got + $.plot(placeholder, data, options); + } + + $.ajax({ + url: dataurl, + method: 'GET', + dataType: 'json', + success: onDataReceived + }); + }); +}); +</script> + +h4. languages + +(Keep in mind that these numbers are coming from the profiles I was able to tag, roughly 40k) + + # Ruby: 10046 (28%) + # Python: 5403 (15%) + # JavaScript: 5282 (15%) (JavaScript + CoffeeScript) + # C: 5093 (14%) (C, C++, C#) + # PHP: 3933 (11%) + # JVM: 3790 (10%) (Java, Clojure, Scala, Groovy) + # Perl: 1215 (3%) + # Lisp: 348 (0%) (Emacs Lisp, Common Lisp) + +Those numbers doesn't really match "what GitHub gave":https://github.com/languages, but it could be explained by the way I've selected my users. + +h4. country + + # United States: 19861 (36%) + # United Kingdom: 3533 (6%) + # Germany: 3009 (5%) + # Canada: 2657 (4%) + # Brazil: 2454 (4%) + # France: 1833 (3%) + # Japan: 1799 (3%) + # Russia: 1604 (2%) + # Australia: 1441 (2%) + # China: 1159 (2%) + +The United States are still the main country represented on GitHub, no suprise here. + +If you are interested in the "geography" of Open Source, you should read these two articles: "Coding Places":http://takhteyev.org/dissertation/ and "Investigating the Geography of Open Source Software through Github":http://takhteyev.org/papers/Takhteyev-Hilts-2010.pdf. + +h4. companies + +Looking at the "company" field on user's profile, here are some stats about which companies has employees using GitHub: + + # ThoughtWorks: 102 + # Google: 66 + # Mozilla: 65 + # Yahoo!: 65 + # Red Hat: 64 + # Globo.com: 55 + # Twitter: 53 + # Facebook: 45 + # Yandex: 43 + # Intridea: 34 + # Microsoft: 33 + # Engine Yard: 32 + # Pivotal Labs: 29 + # MIT: 28 + # Rackspace: 27 + # IBM: 24 + # Caelum: 23 + # Novell: 22 + # GitHub: 22 + # VMware: 22 + +I didn't knew the first company, ThoughtWorks, and I was expecting to see FaceBook or Twitter as the company with most developpers on GitHub. It's also interesting to see Yandex here. + +h3. Global graph (1628 nodes, 9826 edges) + +("download PDF":http://maps.stargit.net/global/global.pdf, "download GDF":http://maps.stargit.net/global/global.gdf) + +The main difference with last year, is the android / modders community. They're developing mostly in C and Java. The poster has been created from this map. + +h3. Ruby (1968 nodes, 9662 edges) + +("download PDF":http://maps.stargit.net/ruby/ruby.pdf, "download GDF":http://maps.stargit.net/ruby/ruby.gdf, "download GEXF":http://maps.stargit.net/ruby/ruby.gexf) + +This is still the main community on GitHub, even if JavaScript is now "the most popular language":https://github.com/languages/JavaScript. This graph is really dense, it's not easy to read, since there is no real cluster in this one. + +h3. Python (1062 nodes, 2631 edges) + +("download PDF":http://maps.stargit.net/python/python.pdf, "download GDF":http://maps.stargit.net/python/python.gdf) + +Here we have some clusters. I'm not familiar with the Python community, so I can't really give any insight. + +h3. Perl (608 nodes, 2967 edges) + +("download PDF":http://maps.stargit.net/perl/perl.pdf, "download GDF":http://maps.stargit.net/perl/perl.gdf, "download GEXF":http://maps.stargit.net/perl/perl.gexf) + +I really like this graph since it show (in my opinion) one of the real strength of this community: everybody works with everybody. People working on a webframework will collaborate with people working on Moose, or an ORM, or other tools. It shows that in this community, people are competent in more than one field. + +The Perl community is about the same size as last year. However, we can extract the following informations: + + * the Japaneses Perl Hackers are still a cluster by themselves + * "miyagawa":http://github.com/miyagawa is still the glue between the Japanese community and the "rest of the world" + * other leaders are: Florian Ragwith ("rafl":http://github.com/rafl), Andy Amstrong ("AndyA":http://github.com/andya), Dave Rolsky ("autarch":http://github.com/autarch) + * some clusters exists for the following projects: + ** Moose + ** Dancer + +As we can see on the previous charts, the number of created accounts for the Perl developpers is stalling. + +h3. United States (2646 nodes, 11344 edges) + +("download PDF":http://maps.startgit.net/unitedstates/unitedstates.pdf, "download GDF":http://maps.startgit.net/unitedstates/unitedstates.gdf, "download GEXF":http://maps.startgit.net/unitedstates/unitedstates.gexf) + +This one is really nice. We can clearly see all the communities. There is something interesting: + + # C and Ruby are on the opposite side (C on the left, Ruby on the right) + # Python and Perl are also opposed (Perl at the bottom and Python at the top) + +I'll let you take some conclusion by yourself on this one ;) + +h3. France (706 nodes, 1059 edges) + +("download PDF":http://maps.stargit.net/france/france.pdf, "download GDF":http://maps.stargit.net/france/france.gdf, "download GEXF":http://maps.stargit.net/france/france.gexf) + +We have a lot of small clusters on this one, and some very big authorities. + +h3. Japan (464 nodes, 1091 edges) + +("download PDF":http://maps.stargit.net/japan/japan.pdf, "download GDF":http://maps.stargit.net/japan/japan.gdf, "download GEXF":http://maps.stargit.net/japan/japan.gexf) + +There is three dominants clusters on this one: + + # Ruby + # Perl + # C + +The Ruby and Perl one are well connected. There is a lot of japanese hacker on CPAN using both languages. + +h2. StarGit + +"StarGit":http://stargit.net is a great tool we built with Alexis to let you explore *your* community on GitHub. + +It's hosted on "dotcloud":http://doutcloud.com (I'm still amazed at how easy it was to deploy the code ...), using the Perl "Dancer web framework":http://perldancer.org, MongoDB to store the data, and Redis to do some caching. Alexis built the flash application, and will give more details about it on his blog. + +h2. Credits + +I would like to thanks the whole GitHub team for being interested in the previous poster and to ask another one this year :) + +A *huge* thanks to Alexis for his help on building the awesome StarGit. Another big thanks to Antonin for his work on the poster. + + |