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DeepChem

Appears in 4 awesome lists

Democratizing deep learning for drug discovery, quantum chemistry, materials science, and biology. High-quality open-source toolchain with 50+ models and extensive tutorials. MIT licensed.

Open github.comdeepchem/deepchem

Found in these lists

Awesome Ai For Science

Section: Biology & Medicine · Machine learning for chemistry

FreshScore 86

Awesome Cheminformatics

Section: Machine Learning · Deep learning library for Chemistry based on Tensorflow

StaleScore 47

Awesome Computational Biology

Section: Preprocessing Tools · Deep learning library for drug discovery, quantum chemistry, and materials science.

FreshScore 77

Awesome Open Source AI

Section: 11. Specialized Domains · Democratizing deep learning for drug discovery, quantum chemistry, materials science, and biology. High-quality open-source toolchain with 50+ models and extensive tutorials. MIT licensed.

FreshScore 89

dna-claude-analysis

Interactive personal genome analysis toolkit using Claude Code and Python. Parses raw genotyping data from consumer DNA services and analyzes SNPs across 17 categories including health risks, pharmacogenomics, ancestry, and nutrition, with a terminal-style HTML dashboard.

In 7 listsDetails

ChatSpatial

[Python] An MCP server enabling spatial transcriptomics analysis via natural language. Integrates 60+ methods including SpaGCN, Cell2location, RCTD, LIANA+, CellRank for spatial domains, deconvolution, cell communication, and trajectory analysis. Supports Visium, Xenium, MERFISH, Slide-seq.…

In 4 listsDetails

napari

Image viewer and image processing tool. Fiji - General purpose tool. Image viewer and image processing tool. vizarr - Browser-based image viewer for zarr format. avivator - Browser-based image viewer for tiff files. OMERO - Image viewer for high-content screening. IDR uses OMERO. Intro fiftyone -…

In 4 lists

RDKit

Cheminformatics software & machine learning toolkit.

In 3 lists

nilearn

Machine learning and statistical learning for neuroimaging in Python, providing easy-to-use tools for fMRI and MRI analysis including decoding, connectivity estimation, and parcellation with seamless scikit-learn integration (INRIA Parietal team, 1.4K+ stars)

In 3 lists

Boltz

Open-source biomolecular interaction prediction models. Boltz-1 was the first fully open source model to approach AlphaFold3 accuracy; Boltz-2 adds binding affinity prediction for drug discovery. MIT licensed.

In 3 lists

OpenMed

Local-first, open-source healthcare AI toolkit for clinical NLP and PHI/PII de-identification across 12 languages, running entirely on-device with 1,000+ specialized medical models; provides Python SDK, REST API, Docker deployment, and native Swift apps via OpenMedKit with Apple MLX/CoreML…

In 3 lists

mLLMCelltype

Multi-LLM consensus framework for automated cell type annotation in single-cell transcriptomics, integrating predictions from 10+ large language models with iterative discussion and uncertainty quantification to reduce single-model biases, achieving up to 95% accuracy without reference datasets;…

In 3 lists