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Antibody Python Packages

Python packages with the GitHub topic antibody. Sorted by monthly downloads, with stars and forks.
antigenomics
arda-mapper

High-throughput mapping and domain partitioning of antigen receptor sequences

40K 56 20
antigenomics
vdjtools

Analysis of immune repertoire sequencing results

37K 146 42
ENPICOM
immunum

A high-performance antibody and TCR sequence numbering tool for Rust, Python, Polars and JS/TS.

25K 34 4
antigenomics
mirpy-lib

Machine learning for Immune Repertoires

8K 8 4
Merck
sapiens

Sapiens is a human antibody language model based on BERT.

2K 81 20
yutanagano
tidytcells

Standardise TR/MH/IG data

1K 14 3
antigenomics
migec

An UMI-tagged sequencing swiss-knife. Built for amplicon sequencing of immune repertoires, ctDNA and rare mutations, single-cell sequencing.

1K 43 19
gf712
abpytools

Python package for analysis of antibody heavy and light chains

770 26 3
MuteJester
alignair

Deep-learning V(D)J aligner for BCR and TCR sequences. A single model predicts V/D/J allele calls, segment boundaries and the junction, with AIRR-format output. Published in Nucleic Acids Research (2025).

734 3 2
oxpig
antifold

Improved antibody structure-based design using inverse folding

384 176 35
uio-bmi
ligo

LIgO is a tool for simulation of adaptive immune receptors and repertoires.

379 1 2
dohlee
protstruc

Protein structure handling in Python made easy.

170 3 1
fabricagen
ablanx

JAX/Flax port of AbLang2's AbRep encoder: differentiable antibody language-model embeddings and per-block attention, loading the original weights unchanged.

139 3 0
dohlee
igfold-pytorch

Unofficial re-implementation of IgFold, a fast antibody structure prediction method, in PyTorch.

84 2 1
fabricagen
jaxfvld

Small, fast, fully differentiable antibody Fv structure predictor in JAX. ~0.76M parameters, matches IgFold on CDR-H3, folds an Fv in ~0.8s on CPU.

71 13 2
dohlee
deepab-pytorch

An unofficial re-implementation of DeepAb, an interpretable deep learning model for antibody structure prediction.

63 3 0
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