Huge update.

Moved all posts from textile to markdown. Updated all the CSS and
styles. Added a new page for the resume.

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----
-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. Feel free to print it yourself, the size of the poster is A1.
-
-<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":http://maps.startigt.net/dump/github.tgz with the "code":https://github.com/franckcuny/StarGit 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 the 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 Ragwitz ("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. You can read more about the application on "Alexis' blog":http://ofnodesandedges.com/2011/06/20/stargit.html
-
-It's hosted on "dotcloud":http://dotcloud.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.
-
-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.
-
-