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A collection of cheminformatics and machine-learning software written in C++ and Python.
NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit
The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java.
Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and...
Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.
GLARE is a library and a software for product based optimization of reagent lists in the context of a chemical combinatorial library design. Large virtual combinatorial libraries containing 10^12 products have been optimized within a second.