TechCrunch today published an article based around an iPhone developer’s experience monetizing his applications in the App Store. As part of that article, some statistics were cited that didn’t entirely make sense to me. For example, the author states that there are only 36,000 apps in the store, which seemed surprisingly low.
Long story short, I wrote some code, did some mining, and ended up crawling the entire US iTunes App Store, and from this I have compiled some statistics.
I have created a Google Code page to house the source for Twitter Stats. Both the web version and the command line CSV-output version are available through a straight download or SVN.
While the other contributors and I don’t have a problem with derivative works (the code is released under the GPLv2 license), we would appreciate it if you instead thought about contributing back into the project. If you would like to contribute code, make a wiki page or contact me to become a member of the project so you can check-in using SVN. If you do choose to use some of the code in your own projects, please provide prominent attribution and a link back to the Google Code page and/or the web version of the script.
The code is pretty hideous at the moment, and there are quite a few bugs to work out, but please bear with us – we will be making enhancements and bug fixes very soon.
For all those Twitter lovers out there, like me, I’ve put together a little script based on the work found here to calculate some statistics from your Twitter timeline and present them using the Google Charts API.
Statistics include:
Please keep in mind that there are probably a lot of bugs in it, and it can take a very long time to process if you have a large timeline. Other than that, enjoy!