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Adaptative Segmentation and Tracking of Embryonic Cells (developer version, python code only)

ConnectionLens ingests heterogeneous data sources (JSON, XML, HTML, CSV, RDF, relational databases, text files, PDF) into a single, integrated graph. It stores these graphs and allows querying them using keywords, and connecting them through a GUI.

ConnectionStudio integrates highly heterogeneous data into graphs, enriched with extracted entities. Studio users can discover the entities in their data, navigate across connections between datasets, explore and query the data in many ways. The Studio currently supports: CSV, JSON, XML, RDF, text, property graphs, all Office formats, and PDF datasets.

For more information, see: https://connectionstudio.inria.fr

The scientific publications behind the platform: https://team.inria.fr/cedar/connectionlens/

Fork of bitcoinj-0.14.4 for the Dietcoin paper. Contains library code only.

A light version of DSPFilters : https://github.com/vinniefalco/DSPFilters.

conda recipes for building dtk, dtk layers and plugins

dtkCore provides fundamental tools to build modular platform.