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scikit-learn

Easy-to-use and general-purpose machine learning in Python
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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 43.8K GitHub stars and 20.9K GitHub forks. Here’s a link to scikit-learn's open source repository on GitHub

Who uses scikit-learn?

Companies
148 companies reportedly use scikit-learn in their tech stacks, including Delivery Hero, Tokopedia, and bigin.

Developers
596 developers on StackShare have stated that they use scikit-learn.

scikit-learn Integrations

Jupyter, Keras, Ludwig, Comet.ml, and Metaflow are some of the popular tools that integrate with scikit-learn. Here's a list of all 19 tools that integrate with scikit-learn.
Pros of scikit-learn

Blog Posts

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scikit-learn Alternatives & Comparisons

What are some alternatives to scikit-learn?
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
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
See all alternatives

scikit-learn's Followers
803 developers follow scikit-learn to keep up with related blogs and decisions.