Skip to main content

A python library to work with molecules. Built on top of RDKit.

Project description

Molecular Manipulation Made Easy


DOI Binder PyPI Conda PyPI - Downloads Conda PyPI - Python Version license GitHub Repo stars GitHub Repo stars Codecov

Datamol is a python library to work with molecules. It's a layer built on top of RDKit and aims to be as light as possible.

  • 🐍 Simple pythonic API
  • ⚗️ RDKit first: all you manipulate are rdkit.Chem.Mol objects.
  • ✅ Manipulating molecules often rely on many options; Datamol provides good defaults by design.
  • 🧠 Performance matters: built-in efficient parallelization when possible with optional progress bar.
  • 🕹️ Modern IO: out-of-the-box support for remote paths using fsspec to read and write multiple formats (sdf, xlsx, csv, etc).

Try Online

Visit Binder and try Datamol online.

Documentation

Visit https://doc.datamol.io.

Installation

Use conda:

mamba install -c conda-forge datamol

Quick API Tour

import datamol as dm

# Common functions
mol = dm.to_mol("O=C(C)Oc1ccccc1C(=O)O", sanitize=True)
fp = dm.to_fp(mol)
selfies = dm.to_selfies(mol)
inchi = dm.to_inchi(mol)

# Standardize and sanitize
mol = dm.to_mol("O=C(C)Oc1ccccc1C(=O)O")
mol = dm.fix_mol(mol)
mol = dm.sanitize_mol(mol)
mol = dm.standardize_mol(mol)

# Dataframe manipulation
df = dm.data.freesolv()
mols = dm.from_df(df)

# 2D viz
legends = [dm.to_smiles(mol) for mol in mols[:10]]
dm.viz.to_image(mols[:10], legends=legends)

# Generate conformers
smiles = "O=C(C)Oc1ccccc1C(=O)O"
mol = dm.to_mol(smiles)
mol_with_conformers = dm.conformers.generate(mol)

# 3D viz (using nglview)
dm.viz.conformers(mol, n_confs=10)

# Compute SASA from conformers
sasa = dm.conformers.sasa(mol_with_conformers)

# Easy IO
mols = dm.read_sdf("s3://my-awesome-data-lake/smiles.sdf", as_df=False)
dm.to_sdf(mols, "gs://data-bucket/smiles.sdf")

How to cite

Please cite Datamol if you use it in your research: DOI.

Compatibilities

Version compatibilities are an essential topic for production-software stacks. We are cautious about documenting compatibility between datamol, python and rdkit.

See below the associated versions of Python and RDKit, for which a minor version of Datamol has been tested during its whole lifecycle.

datamol python rdkit
0.8 [3.8, 3.9, 3.10] [2021.09, 2022.03, 2022.09]
0.7 [3.8, 3.9] [2021.09, 2022.03]
0.6 [3.8, 3.9] [2021.09]
0.5 [3.8, 3.9] [2021.03, 2021.09]
0.4 [3.8, 3.9] [2020.09, 2021.03]
0.3 [3.8, 3.9] [2020.09, 2021.03]

CI Status

The CI run tests and perform code quality checks for the following combinations:

  • The three major platforms: Windows, OSX and Linux.
  • The two latest Python versions.
  • The two latest RDKit versions.
main
Lib build & Testing GitHub Workflow Status
Code Sanity (linting and type analysis) GitHub Workflow Status
Documentation Build GitHub Workflow Status

Changelogs

See the latest changelogs at CHANGELOG.rst.

License

Under the Apache-2.0 license. See LICENSE.

Authors

See AUTHORS.rst.

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datamol-0.8.7.tar.gz (286.5 kB view details)

Uploaded Source

File details

Details for the file datamol-0.8.7.tar.gz.

File metadata

  • Download URL: datamol-0.8.7.tar.gz
  • Upload date:
  • Size: 286.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for datamol-0.8.7.tar.gz
Algorithm Hash digest
SHA256 4330491c2fd7f183f139b3986cce5919e5e53ab9fed62b251fa2dcb48bb2dc01
MD5 2bc26458ae148cd38bdc238c39922a1f
BLAKE2b-256 16635262533b0b827db4b62fa0e31812dce7c61e001d387839f009ed455d1855

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page