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Soothsayer is an intelligent predictive text entry platform. Soothsayer exploits redundant information embedded in natural languages to generate predictions. Soothsayer's modular and pluggable architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic information sources. A predictive text entry system attempts to improve ease and speed of textual input. Word prediction consists in computing which word tokens or word completions are most likely to be entered next. The system analyses the text already entered and combines the information thus extracted with other information sources to calculate a set of most probable tokens.

Source-highlight is a simple program that, given a source C/C++, Prolog, Perl, PHP3, Python or Java file, produces an html source with syntax highlighting.

KDE4 panel applet of uim input method.

UnRTF is a command-line converter from RTF (Rich Text) to HTML, LaTeX, PostScript, plain text, and text with VT100 codes. When converting to HTML, it supports tables, fonts, embedded images, hyperlinks, paragraph alignment, and more. All other conversions are "alpha" i.e. being newly developed.

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Based off the original Flask and KR themes, this is a more extensible version of the prior.

Rot rotates a file so that lines become columns and vice versa. This allows line-oriented Unix filters like grep to operate on columns instead.