The official sources for the RDKit library
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README.md

RDKit

Build status Documentation Status DOI

RDKit is a collection of cheminformatics and machine-learning software written in C++ and Python.

  • BSD license - a business friendly license for open source
  • Core data structures and algorithms in C++
  • Python (2.x and 3.x) wrapper generated using Boost.Python
  • Java and C# wrappers generated with SWIG
  • 2D and 3D molecular operations
  • Descriptor and Fingerprint generation for machine learning
  • Molecular database cartridge for PostgreSQL supporting substructure and similarity searches as well as many descriptor calculators
  • Cheminformatics nodes for KNIME
  • Contrib folder with useful community-contributed software harnessing the power of the RDKit

Web presence

Code

Community

Materials from user group meetings

Documentation

Available on the RDKit page and in the Docs folder on GitHub

Installation

Installation instructions are available in Docs/Book/Install.md.

Binary distributions, anaconda, homebrew

  • Windows binaries are available with each release.
  • RPMs for RedHat Enterprise Linux, Centos, and Fedora. Contributed by Gianluca Sforna.
  • homebrew formula for building on the Mac. Contributed by Eddie Cao.
  • recipes for building using the excellent conda package manager. Contributed by Riccardo Vianello.

Projects using RDKit

  • ChEMBL Beaker - standalone web server wrapper for RDKit and OSRA
  • myChEMBL (blog post, paper) - A virtual machine implementation of open data and cheminformatics tools
  • sdf_viewer.py - an interactive SDF viewer
  • sdf2ppt - Reads an SDFile and displays molecules as image grid in powerpoint/openoffice presentation.
  • MolGears - A cheminformatics tool for bioactive molecules
  • PYPL - Simple cartridge that lets you call Python scripts from Oracle PL/SQL.
  • shape-it-rdkit - Gaussian molecular overlap code shape-it (from silicos it) ported to RDKit backend
  • WONKA - Tool for analysis and interrogation of protein-ligand crystal structures
  • OOMMPPAA - Tool for directed synthesis and data analysis based on protein-ligand crystal structures
  • DeepChem - Machine learning library for small molecules

License

Code released under the BSD license.