bmabey/pyLDAvis

Health v2 · maintenance only

Adoption not part of the score

1850 stars · 354 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

pyLDAvis is a Python library for interactive visualization of fitted LDA topic models, ported from the R LDAvis package. It renders web-based visualizations designed for Jupyter notebooks that can also be exported as standalone HTML files.

Use cases

• visualize topics from a fitted LDA topic model
• interpret and explore topic model results in a Jupyter notebook
• export an interactive topic visualization as a standalone HTML file
• explain topic model outputs to non-technical stakeholders
• compare topic relevance and term distributions across topics

When to choose

• you have a trained LDA topic model and need to interpret its topics
• you work in Jupyter notebooks and want interactive exploration
• you want a shareable HTML visualization of topic models

When to avoid

• you use topic models other than LDA-style models without adaptation
• you need static publication-quality plots rather than interactive HTML
• you are not working in Python or a notebook environment

Facets

library · maturity active

data-visualization nlp machine-learning data-visualization data-science machine-learning python jvm-scripting topic-modeling lda jupyter-notebook interactive-visualization html-export natural-language-processing

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