rdkit

Guides use of RDKit (Python) for reading and writing SMILES, MOL/SDF, and InChI, computing descriptors (MW, LogP, TPSA), generating Morgan/MACCS/atom-pair fingerprints, running SMARTS substructure searches, applying reaction SMARTS, and building 2D/3D coordinates with ETKDG. Use when parsing or sanitizing molecules that fail default sanitization, calculating Tanimoto similarity or clustering compounds, filtering libraries by substructure, embedding and optimizing conformers, or computing Murcko scaffolds and molecule hashes. Use when fine-grained control over sanitization or algorithms is needed. For simpler standard workflows, use datamol instead, which wraps RDKit.

Version

1.3

License

BSD-3-Clause license

Compatibility

Examples target RDKit 2026.03.x. Use conda-forge for the broadest binary support or PyPI package `rdkit` for supported platform wheels; `rdkit-pypi` is the legacy PyPI name.