scikit-learn vs TensorFlow.js: What are the differences?
What is scikit-learn? Easy-to-use and general-purpose machine learning in Python. scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
scikit-learn and TensorFlow.js can be categorized as "Machine Learning" tools.
scikit-learn and TensorFlow.js are both open source tools. It seems that scikit-learn with 36K GitHub stars and 17.6K forks on GitHub has more adoption than TensorFlow.js with 11.2K GitHub stars and 816 GitHub forks.
Repro, Home61, and MonkeyLearn are some of the popular companies that use scikit-learn, whereas TensorFlow.js is used by 8villages, ADEXT, and Taralite. scikit-learn has a broader approval, being mentioned in 71 company stacks & 40 developers stacks; compared to TensorFlow.js, which is listed in 5 company stacks and 3 developer stacks.
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What is scikit-learn?
What is TensorFlow.js?
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