Projects

milter manager

milter manager protects you from spam mails and virus mails effectively with milter. milter manager has embedded Ruby interpreter to control milters flexibly. milter manager can be used with Sendmail on Postfix on Ubuntu, CentOS, FreeBSD and so on.

ElexisStatistics

A plugin for Elexis which provides statistical data. Some statistics are especially designed for cross-checking the figures computed by health insurance companies.

niser

The National Internet-based Science Educational Resource (NISER) designs, validates and freely disseminates knowledge. NISER specifically provides portable online aids for science education, technology based instruction and scientific computing. NISER tools and resources include a repository of ... [More] interactive applets, computational libraries, data viewers, instructional and course materials. The core NISER educational and computational components include Educational Materials for the areas of Statistics, Physics, Biology, Egineering, Chemistry and Mathematics. These tools and materials are constantly expanded to include new resources from these and other disciplines. [Less]

libstats

Libstats provides a simple way for library reference & service desks to track statistics on the number of questions asked, as well as build a simple knowledge base. Libstats requires PHP and Pear::DB. It is, by far, easiest to run via Apache. There's a new sheriff in town!Well, I ... [More] wouldn't say sheriff so much as someone that doesn't want to see a project like this fall by the wayside. We use it where I work and I've offered to "take over" maintaining the code. Does that mean there'll be a new version out? Not anytime real soon. In fact, I hate to admit that I haven't done much of anything with the code as of yet. So, if you find bugs, have requests, have a question or just feel chatty, post away. I'll do my best to answer any and all questions as quickly as possible. I would like to thank Nate (and all the other contributers) for the tremendous amount of work he has done on libstats. I can't speak for him directly, but I'm willing to bet he's lurking in the shadows listening in should there be any questions that I am unable to answer. Thanks in advance for your patience and understanding as I come up to speed on all things libstats. --mark aka server.goon(at)gmail.com Nate's farewellHi all, After four years of development, I'm leaving my current job and leaving this project an orphan. I'd love for someone else to take up the mantle and make the project great -- or at least keep it from succumbing to bit rot. If you'd like to be maintainer of a small, fairly simple open-source project, head to our discussion group and get in touch. Thanks to all who have used libstats and helped to make it better. Cheers! -Nate [Less]

Blur's SVN Stat Collector

PHP based commandline SVN repository data collector for easy stats implementation. Script manages an sqlite database as it's storage. Written in PHP 5.3, uses subversion commandline client.

jsstats

js.stats is a JavaScript-based statistics API meant to handle both descriptive statistics and hypothesis testing. The goal is to provide a fast, convenient, and easily called resource for basic statistical analysis. You can find an overview of js.stats here. For more detail, look here for ... [More] documentation and here for for the changelog. Finally, here is the to-do list for the project. [Less]

feedburnerstats

FeedBurner Stats is a plugin which gives you FeedBurner Stats without redirecting your users the FeedBurner feeds. So, you keep your subscribers on your site but still get the stats. It's very easy to use, so go ahead and download it, and head over the installation page to see how to get ... [More] started! News01.04.2007 Added a new option to ignore user-agents which send 'subscriber' or 'feed-id' information. No new packages for this until we've tested the option to see if it has any effect. You can test it yourself by browsing the sourcecode in the SVN depot and copy the new code into the feedburner_stats.php file. (http://feedburnerstats.googlecode.com/svn/trunk/feedburner_stats/feedburner_stats.php) 06.03.2007 The experimental feature seems to be working fine. The stats on the blogs I monitor are nicely in the range of what I expect. I think you all can enable the User-Agent rewrite option without problems. I won't create a new package just for this, just consider it a 'safe' option for now :-) 04.03.2007 I've now added a new experimental feature in the plugin, as you can see below. It seems that FeedBurner does not acknowledge the X-Forwarded-For proxy option, which can cause your stats to be a bit 'deflated'. The option rewrites the User-Agent to incorporate the requesting IP address so the the user-agents are unique for each IP) Hopefully this will inflate your stat numbers again to the correct amount. Options page [Less]

lookery-amplifier-wordpress

Allows you to easily add the necessary JavaScript code to enable Lookery Audience Analytics to your Wordpress blog. Screenshot:

golfml

The purpose of GolfML is to provide a XML-based file format for the exchange of golf-related data. There are numerous golf scorecard programs and online web sites that allow golfers to browse course information, print scorecards, keep track of scores, and analyze statistics, or view a Google Earth ... [More] fly-over of each hole. Most programs or web sites use proprietary data representation and only few of them allow for data exchange of course descriptions such as scorecard, hole par, length and handicap strokes. If available, data import or export is often performed in site- or application-specific proprietary format. We promote the use of a vendor-neutral, open data format for the exchange of golf-related data like golf course descriptions, or golfer scorecards. The markup language will focus on: The description of golf courses The golfer's logbook, with scorecards and statistics The first part of this project defines a uniform data format to present golf course information such as name, address, number of courses, available facilities, course description, individual hole tee length, par, handicap strokes, etc. This data format also allows definition of geographic areas such as coordinates (of tees, holes, trees and traps...) or surfaces (such as fairways, bunkers, greens, lake...). It also permit references to files like pictures, video, or other media. The second part of the project defines a data format to allow golfer to record scores, statistics, and golf equipment. Scores can be as simple as stroke counts or as complex as location-based individual stroke record. This project will not deliver software code. It will deliver a vocabulary, XML specifications and references to allow for data exchange between golf software applications. Start Here or look at Typical Uses of GolfML [Less]

expertfinder

ProblemOur project will address the following problem: given an academic paper or any general textual query, find a researcher who would be best suited to talk to you about it (based on their previous research). For example, given a paper as a pdf file, we would like to know who in the UW Computer ... [More] Science department would be best suited to review the paper. Or given a phrase 'probabilistic motion planning', who are the people to talk to in the top Computer Science departments in the US? SolutionIn order to answer this question we will build a statistical profile for a list of researchers based on their published papers, and do a cosine similarity between the query and the profiles to find the best match. Our program will roughly consist of the following modules: Obtain the data and do some basic processing Given a web URL address of a person's web page, download all the publications of that person (in pdf format) Convert the pdf file to a text file Clean up the text: Appropriate text cleaning like tokenization, removing stop words, and maybe stemming can be done. Repeat the above procedure for a list of web addresses of multiple researchers' web pages (perhaps given in a file). Build a bag-of-word statistical profile for each researcher Given a string, pdf file or a text file as a query, transform it into appropriate format, calculate cosine similarity of the document to each of the profiles, and output a sorted list of best matches. Consider other applications on the statistical profiles, such as clustering people doing similar work. [Less]