Topic Modeling Python Packages

gensim

Topic Modelling for Humans

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

nomic

Nomic Developer API SDK

topica

Fast, all-purpose topic modeling for Python: 20+ models (LDA, STM, CTM, DMR, keyATM, BERTopic, ETM, ...) behind one NumPy-native interface on a parallel Rust core, with shared diagnostics and reproducible fits.

scattertext

Beautiful visualizations of how language differs among document types.

tomotopy

Python package of Tomoto, the Topic Modeling Tool

top2vec

Top2Vec learns jointly embedded topic, document and word vectors.

corextopic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

octis

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

shorttext

Various Algorithms for Short Text Mining

embedded-topic-model

A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM

numpy-ml

Machine learning, in numpy

topicmodeltuner

HDBSCAN Tuning for BERTopic Models

manta-topic-modelling

Comprehensive topic modeling system using Non-negative Matrix Factorization (NMF)

hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

fastopic

A Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024)

topmost

A Topic Modeling System Toolkit (ACL 2024 Demo)

chunkey-bert

ChunkeyBert is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings for unsupervised keyphrase extraction from long text documents.

python-topic-model-preprocessor

A helper class for facilitating preprocessing of text corpus before any topic modeling algorithms

sinapsis-bertopic

Package for topic modeling using BERTopic, including templates for fitting models and making predictions.

simpletopicmodel

Easily identifying themes in text

hypothesaes

HypotheSAEs: hypothesizing interpretable relationships in text datasets using sparse autoencoders. https://arxiv.org/abs/2502.04382

bitermplus

Biterm Topic Model (BTM): modeling topics in short texts