generated: '2026-07-21' method: searched source: PyPI JSON API (pypi.org/pypi//json) + GitHub orgs valence-labs / datamol-io notes: >- Valence Discovery (now Valence Labs, part of Recursion) ships no public REST API. Its developer surface is a suite of first-party open-source Python libraries for cheminformatics, molecular ML and quantum datasets, published under the datamol-io and valence-labs GitHub organizations (Datamol merged with InVivo AI to form Valence Discovery). These are the client libraries listed below. packages: - language: python registry: pypi name: datamol url: https://pypi.org/project/datamol/ install: pip install datamol summary: A python library to work with molecules. Built on top of RDKit. source: https://github.com/datamol-io/datamol docs: https://docs.datamol.io official: true - language: python registry: pypi name: molfeat url: https://pypi.org/project/molfeat/ install: pip install molfeat summary: molfeat - the hub for all your molecular featurizers. source: https://github.com/datamol-io/molfeat docs: https://molfeat-docs.datamol.io/ official: true - language: python registry: pypi name: graphium url: https://pypi.org/project/graphium/ install: pip install graphium summary: 'Graphium: Scaling molecular GNNs to infinity.' source: https://github.com/datamol-io/graphium docs: https://graphium-docs.datamol.io/ official: true - language: python registry: pypi name: safe-mol url: https://pypi.org/project/safe-mol/ install: pip install safe-mol summary: Implementation of the 'Gotta be SAFE - a new framework for molecular design' paper. source: https://github.com/datamol-io/safe docs: https://safe-docs.datamol.io/ official: true - language: python registry: pypi name: openqdc url: https://pypi.org/project/openqdc/ install: pip install openqdc summary: ML ready Quantum Mechanical datasets. source: https://github.com/valence-labs/openQDC docs: https://docs.openqdc.io official: true