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 41.4K GitHub stars and 20K GitHub forks. Here’s a link to scikit-learn's open source repository on GitHub
Who uses scikit-learn?
Companies
136 companies reportedly use scikit-learn in their tech stacks, including Delivery Hero, Tokopedia, and bigin.
Developers
476 developers on StackShare have stated that they use scikit-learn.
scikit-learn Integrations
Jupyter, Keras, Ludwig, Comet.ml, and Cortex.dev are some of the popular tools that integrate with scikit-learn. Here's a list of all 13 tools that integrate with scikit-learn.
Pros of scikit-learn
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.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.
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
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.
scikit-learn's Followers
628 developers follow scikit-learn to keep up with related blogs and decisions.
