gensim VS BERTopic

Compare gensim vs BERTopic and see what are their differences.

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gensim BERTopic
8 9
12,815 1,802
0.9% -
8.9 4.3
8 days ago 8 days ago
Python Python
GNU Lesser General Public License v2.1 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gensim

Posts with mentions or reviews of gensim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-16.

BERTopic

Posts with mentions or reviews of BERTopic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-24.

What are some alternatives?

When comparing gensim and BERTopic you can also consider the following projects:

Top2Vec - Top2Vec learns jointly embedded topic, document and word vectors.

scikit-learn - scikit-learn: machine learning in Python

tensorflow - An Open Source Machine Learning Framework for Everyone

MLflow - Open source platform for the machine learning lifecycle

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

Keras - Deep Learning for humans

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.

scattertext - Beautiful visualizations of how language differs among document types.

bert-as-service - Mapping a variable-length sentence to a fixed-length vector using BERT model

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

gym - A toolkit for developing and comparing reinforcement learning algorithms.

flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)