Matminer
The industry-standard open-source library for data mining and feature engineering in materials science.

The universal open-source chemical toolbox for cross-format molecular data translation.
Open Babel is a robust, collaborative project designed to facilitate the interconversion of chemical file formats and provide a comprehensive library for molecular modeling and informatics. Architecturally, it is built on a modular C++ framework with extensive bindings for Python (Pybel), Perl, and Ruby, making it a critical bridge in modern computational chemistry pipelines. As of 2026, Open Babel remains the industry standard for handling over 110 molecular formats, including SMILES, InChI, PDB, and CML. Its technical utility extends beyond mere translation; it provides high-fidelity 3D coordinate generation using force fields like UFF and MMFF94, molecular fingerprinting for similarity searching, and sophisticated SMARTS pattern matching for substructure queries. In the 2026 market, Open Babel is increasingly positioned as the foundational data-cleaning layer for AI-driven drug discovery, ensuring that heterogeneous chemical datasets are normalized and ready for ingestion into Graph Neural Networks (GNNs) and Large Language Models (LLMs) specialized in chemistry. Its open-source nature ensures it is a staple in both academic research and enterprise-level pharmaceutical bioinformatics infrastructures.
Support for 114 formats including complex crystallographic and quantum mechanics outputs.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Advanced substructure searching using standard SMARTS syntax for rapid data filtering.
Algorithmic conversion of 2D SMILES into 3D geometries with stereo-chemical accuracy.
Automated addition and removal of hydrogen atoms based on pH and valency rules.
Generation of bit-vectors (FP2, FP3, FP4) for chemical similarity calculations.
Ability to search and sample molecular conformers based on rotatable bonds.
A high-level interface that makes the C++ library accessible and readable for data scientists.
Moving 10 million molecules from legacy SDF files to a modern JSON-based NoSQL database.
Registry Updated:2/7/2026
Normalizing chemical structures and generating bit-vectors for a deep learning model.
Preparing thousands of small molecules for high-throughput docking.