Find open-source science resources

A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.

34 of 5,923 resources

The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools.

Active39414 hours ago
Python
MIT

A Simulation Tool for Fractured and Deformable Porous Media.

Active3104 days ago
Python
GPL-3.0

This package provides a periodic table of the elements with support for mass, density and xray/neutron scattering information.

Active1721 week ago
Python
NOASSERTION

A molecule manipulation library.

Active2371 week ago
Python
NOASSERTION

atomate2 is a library of computational materials science workflows.

Active3151 week ago
Python
NOASSERTION

A quantum chemistry package written in Python.

Active772 weeks ago
Python
Apache-2.0

Automate downloading, opening, and parsing DrugBank.

Active653 weeks ago
Python
MIT

A package for accessing data from the NIST webbook...

Active563 weeks ago
Python
MIT

Interaction Fingerprints for protein-ligand complexes and more.

Active5013 weeks ago
Python
Apache-2.0

Directed message passing neural networks for property prediction of molecules and reactions with uncertainty and interpretation.

Active2.4K1 month ago
Python
NOASSERTION

Parameter/topology editor and molecular simulator with visualization capability.

Active4522 months ago
Python

Tool to build force field input files for molecular simulation.

Active2012 months ago
Python
MIT

A library and command-line tool for building and analyzing complex homogeneous microkinetic models from quantum chemistry calculations, with support for quasi-harmonic thermochemistry, quantum tunnelling corrections, molecular symmetries and more.

Active642 months ago
Python
MIT

Predicts the pKa values of ionizable groups in proteins and protein-ligand complexes based in the 3D structure.

Active3612 months ago
Python
LGPL-2.1

A library containing basis sets for use in quantum chemistry calculations. In addition, this library has functionality for manipulation of basis set data.

Active1993 months ago
Python
BSD-3-Clause

Universal pretrained neural network potential with charge and magnetic moment awareness, trained on 1.5M+ Materials Project inorganic structures for charge-informed molecular dynamics and phase diagram prediction (Berkeley, Nature Machine Intelligence 2023 Cover)

Active3833 months ago
Python
NOASSERTION

A package for working with nuclear magnetic resonance (NMR) data including functions for reading common binary file formats and processing NMR data.

Active2654 months ago
Python
BSD-3-Clause

File parser/converter for QM, MD and plane-wave DFT programs.

Active1634 months ago
Python
LGPL-3.0

A package for creating fast and accurate interatomic potentials.

Active3584 months ago
Python
MIT

A library for building, manipulating, analyzing and automatic design of molecules, including a genetic algorithm.

Active2845 months ago
Python
MIT

ChemFormula provides a class for working with chemical formulas. It allows parsing chemical formulas, calculating formula weights, and generating formatted output strings (e.g. in HTML, LaTeX, or Unicode).

Idle337 months ago
Python
MIT

A library for computational chemistry (DFT) for input file generation, data extraction, method screening and analysis.

Idle227 months ago
Python
Apache-2.0

Experiments with expanded ensembles to explore chemical space.

Idle1997 months ago
Python
MIT

A Package For Training SNAP Interatomic Potentials for use in the LAMMPS molecular dynamics package.

Idle1867 months ago
Python
GPL-2.0

A library for estimating thermochemical properties of molecules and adsorbates using group additivity.

Idle911 months ago
Python
MIT

General purpose tools for high-throughput catalysis.

Idle1041 year ago
Python
GPL-3.0

A module for solving and visualizing the Schrödinger equation.

Idle1.2K1 year ago
Python
BSD-3-Clause

A package for benchmarking of models for _de novo_ molecular design.

Stale5212 years ago
Python
MIT

A deep learning framework (based on Chainer) with applications in Biology and Chemistry.

Stale7003 years ago
Python
MIT

A platform for graph-based molecular generation using graph neural networks.

Archived3803 years ago
Python
MIT

Enables machine learning on three-dimensional molecular structure.

Stale3193 years ago
Python
MIT

a robust molecular representation learning framework against distribution shifts.

Stale613 years ago
Python
MIT

Open Drug Discovery Toolkit, a modular and comprehensive toolkit for use in cheminformatics, molecular modeling etc.

Stale4643 years ago
Python
BSD-3-Clause

Hierarchical Generation of Molecular Graphs using Structural Motifs.

Stale4383 years ago
Python
MIT