gensim VS scikit-learn

Compare gensim vs scikit-learn and see what are their differences.

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gensim scikit-learn
6 24
12,694 48,142
0.9% 0.7%
9.0 9.9
8 days ago about 5 hours ago
Python Python
GNU Lesser General Public License v2.1 only BSD 3-clause "New" or "Revised" 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 2021-11-22.

scikit-learn

Posts with mentions or reviews of scikit-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-13.

What are some alternatives?

When comparing gensim and scikit-learn you can also consider the following projects:

Keras - Deep Learning for humans

Surprise - A Python scikit for building and analyzing recommender systems

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

tensorflow - An Open Source Machine Learning Framework for Everyone

PyBrain

MLflow - Open source platform for the machine learning lifecycle

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

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