diff options
Diffstat (limited to '_posts/2011-06-20-stargit.textile')
| -rw-r--r-- | _posts/2011-06-20-stargit.textile | 286 |
1 files changed, 0 insertions, 286 deletions
diff --git a/_posts/2011-06-20-stargit.textile b/_posts/2011-06-20-stargit.textile deleted file mode 100644 index 3d5b807..0000000 --- a/_posts/2011-06-20-stargit.textile +++ /dev/null @@ -1,286 +0,0 @@ ---- -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. - - |