BE

MaartenGr/BERTopic

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

7.5k 887 +4/wk
GitHub
bert ldavis machine-learning nlp sentence-embeddings topic topic-modeling topic-modelling topic-models transformers
Trend 3

Star & Fork Trend (38 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

MaartenGr/BERTopic has +4 stars this period . 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric BERTopic h2o-3 presidio generative-models
Stars 7.5k 7.5k7.5k7.5k
Forks 887 2.0k9972.0k
Weekly Growth +4 +0+7-1
Language Python Jupyter NotebookPythonPython
Sources 1 111
License MIT Apache-2.0MITUnlicense

Capability Radar vs h2o-3

BERTopic
h2o-3
Maintenance Activity 77

Last code push 47 days ago.

Community Engagement 59

Fork-to-star ratio: 11.8%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 43

+4 stars this period — 0.05% growth rate.

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.