scikit-learn VS Keras

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

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scikit-learn Keras
24 30
48,142 53,329
0.8% 0.7%
9.9 9.8
3 days ago 5 days ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
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.

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.

Keras

Posts with mentions or reviews of Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-28.

What are some alternatives?

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

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

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

gensim - Topic Modelling for Humans

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

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

PyBrain

skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning