What is scikit-learn?
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
scikit-learn is a tool in the Machine Learning Tools category of a tech stack.
scikit-learn is an open source tool with 39K GitHub stars and 19K GitHub forks. Here’s a link to scikit-learn's open source repository on GitHub
Who uses scikit-learn?
Companies
117 companies reportedly use scikit-learn in their tech stacks, including Tokopedia, Repro, and Upfluence.
Developers
316 developers on StackShare have stated that they use scikit-learn.
scikit-learn Integrations
Keras, Xcessiv, Comet.ml, Ludwig, and Cortex.dev are some of the popular tools that integrate with scikit-learn. Here's a list of all 5 tools that integrate with scikit-learn.
Why developers like scikit-learn?
Here’s a list of reasons why companies and developers use scikit-learn
Top Reasons
scikit-learn Alternatives & Comparisons
What are some alternatives to scikit-learn?
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
H2O
H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
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, Flink and DataFlow
scikit-learn's Followers
352 developers follow scikit-learn to keep up with related blogs and decisions.
