RDKit

What it is

RDKit is an open-source cheminformatics toolkit that provides a wide range of functionalities for molecule analysis, including chemical structure handling, molecular descriptors, machine learning models, and more. It's widely used in drug discovery and materials science.

RDKit stands out as an open-source, comprehensive toolkit offering both chemical structure handling and machine learning functionalities, making it uniquely suited for cheminformatics research.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Frequent breaking changes between versions

   v2019.03 to v2020.09 migration required significant code adjustments

2. 02

   Limited support for certain chemical functionalities

   Advanced quantum chemistry calculations are not supported natively, requiring external tools integration

3. 03

   Complex setup and dependency management

   Installation requires C++ compilers and specific library versions for full functionality

What it does well

• Molecular structure handling and analysis

• Machine learning models for chemical data

• Fingerprints and molecular descriptors

• 2D molecule depiction capabilities

• Substructure searching

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.