Search Results for "flat file databases"

CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources. A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources. CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on. Here you...

A Java-based powerful disk usage utility. It outputs a table and a tree (both can be sorted). TinyScan is able to export the result to Excel, Access, MySQL and it can also scan remote computers. It is free and open source.

If you have ever tried to locate files, classes, and resources buried amongst an ever shifting locus of ZIP and / or JAR files, we feel your pain! After spending far too much time searching hundreds of archives for moving targets, I decided to write JarOMine. Originally designed for locating Java classes, JarOMine works equally well with ZIP archives, too.

This project is abandoned. Download these files at your own risk. For the latest version please visit http://decafbad.net/projects/piddlepodder/ This application is a podcatching client written in Perl. It is based off of the simplicity of bashpodder with a few added features. It downloads podcasts from a list of XML feeds, and puts them into a download directory by date.

A fulltext indexing engine designed for xml files on a slow readonly medium.

A implementation of the Trie data structure with java random access files and regular expression queries.

iTagged is a Java Swing application that allows the user to create tags intuitively for the files stored on his/ her machine locally. This is a very effective tool to organize and book mark things that we deem necessary.

ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.