The Titan Toolkit includes a wide variety of information analysis and visualization techniques supporting the ingestion, processing, and display of informatics data. The component architecture also includes integration with external libraries including the Boost Graph Library(BGL), MATLAB® , R , VTK, and the Trilinos sparse linear algebra package. This powerful combination of analysis libraries enables Titan to provide a rich set of techniques including Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), document concept spaces, clustering, shortest-path, graph centrality, and correlative probabilities.
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At one point, Open Hub analyzed source code for this project based on code location(s) available at that time. Since then, the code locations have been removed.