| Pybliographer:- http://ola.sourceforge.net/ Open Source. Linux and Mac.
Pybliographer is a tool for managing and working with bibliographic databases. It provides a general framework that can be used to manipulate these databases with a simple graphical interface, but that can also be easily extended by the mean of a scripting language, to fit a wide range of needs. It can be used for searching, editing, reformatting, etc. In fact, it's a simple framework that provides easy to use python classes and functions, and therefore can be extended to many uses (generating HTML pages according to bibliographic searches, etc).
In addition to the scripting environment, a graphical Gnome interface is available. It provides powerful editing capabilities, a nice hierarchical search mechanism, direct insertion of references into LyX and Kile, direct queries on Medline, and more. It currently supports the following file formats: BibTeX, ISI, Medline, Ovid, Refer.
It provides Reference manager services to create, load, modify, list, read, transport, and copy description of resources like books, articles, and electronic documents, including derivative and private information. It also generates Index of terms so one can search regularly by entering a search term or by selecting an Index term.
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Site of the Week:- http://www.koders.com/
Koders is a search engine for source code. It enables developers to easily search and browse source code in thousands of projects hosted at hundreds of open source repositories. Presently it is searching 125,112,016 lines of code. It is having neat and clean search interface like Google. One can limit the search by selecting a particular language like C, C++, Java, Perl, PHP, VB etc and it can also be limited by the License like GPL, W3C and alike. There is an option of integrate this search box in your own website. Koders provides a development cost calculation for each project in their index. One can use this calculator to quickly see how much time and money one could save by integrating one component instead of building it on their own. Again, most applications need to use standard datasets to ensure they are easy-to-use and interoperable with other systems. One can easily find pre-built datasets for their application language.
That's all for this week. See you next week.
Madhuresh Singhal
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