I don’t know why, but I love also all kind of stats. It’s just fun to have dozens of data and then analyze it with graphs and pie charts. Here is list of services that gives stats from various sources. I use all of them regularly.

• Google analytics – Nice stats of the website
• Woopra – Awesome realtime website stats tracking
• Feedburner – Nice feed subscribers/reach tracking
• Webalizer – Bandwith monitor provided by my webhost
• Hlstatsx – Most of my games are source games, so the Hlstatsx generates nice stats. (Open source version)
• Etqw stats site – The official stats site
• My own script that generates graphs from official ET:QW tracker
• Steamcommunity – Steamcommunity gives gametime stats and also very detailed stats for some games (tf2,l4d)
• Tweetstats – Very clean and nice stats for twitter usage
• Twitter grader – Another cool stats tool for twitter
• Twittercounter – Get graphs from followers
• Cloc/ohcount – Some stats from my programming
• Ohloh – Stats for almost every open source project. Code analysis.
• mon.itor.us – Just pinging my site and checking that it’s up and running
• Pisg – Stats from IRC
• Last fm – All of the music I listen is listed on last.fm Also see my history/progress graph generated from last.fm stats
• Wakoopa – Wakoopa tracks what apps I use and how much.

Ohcount and Count Lines of Code (CLOC) counts size of code project. Mostly these aren’t very useful applications, but it is fun to see that I have written 300 lines of code in couple of days.

Ohcount is used Ohloh to generate source code reports. I was disappointed to found that i can’t use Ohcount to scan whole history of my repository, it only scans current status of code.

CLOC is written in Perl and Ohcount in Ruby. It maybe little annoying to compile Ohcount from source, but it is much faster than CLOC. If you want something that is easy to install, take CLOC. But if you are going to analysis more often than once, try Ohcount.

Here is example output from CLOC:


96 text files.
83 unique files.
33 files ignored.
http://cloc.sourceforge.net v 1.08 T=7.0 s (8.9 files/s, 547.4 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code scale 3rd gen. equiv
-------------------------------------------------------------------------------
PHP      49    588   172     1950 x 3.50    = 6825.00
SQL      1     58    87      277  x 2.29     = 634.33
BASH     10    54    133     261  x 3.81     = 994.41
CSS      1     46    5       192  x 1.00     = 192.00
Python   1     2     1       6    x 4.20       = 25.20
-------------------------------------------------------------------------------
SUM: 62 748 398 2686 x 3.23 = 8670.94
-------------------------------------------------------------------------------

And here is Ohcounts output from same file:

Examining 555 file(s)......

Ohloh Line Count Summary

Language Files Code Comment Comment % Blank Total
---------------- ----- --------- --------- --------- --------- ---------
php      58    2146 219     9.3%      716  3081
sql      1     277  87      23.9%     58   422
html     60    242  1       0.4%      38   281
css      1     192  5       2.5%      46   243
python   1     6    1       14.3%     2    9
---------------- ----- --------- --------- --------- --------- ---------
Total 121      2863 313     9.9%      860  4036

- Gestalts -------------------------------------------------------------------
Platforms: PHP, SQL, Scripting

Yep. There is some difference on results. I don’t know which one is more accurate.

I haven’t posted for a while because I have coded my main project. It isn’t public, but I will blog about it when it is ready. I try to blog more often.