scikit-learn alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view scikit-learn alternatives based on common mentions on social networks and blogs.

• tensorflow

  10.0 10.0 L1 scikit-learn VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

• Keras

  9.9 9.8 L2 scikit-learn VS Keras

  Deep Learning for humans
  

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• xgboost

  9.8 8.3 L1 scikit-learn VS 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
  

• gym

  9.8 8.7 scikit-learn VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• CNTK

  9.6 3.3 L1 scikit-learn VS CNTK

  Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
  

• PaddlePaddle

  9.6 10.0 L1 scikit-learn VS PaddlePaddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
  

• Prophet

  9.5 8.4 scikit-learn VS Prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
  

• gensim

  9.5 6.6 L3 scikit-learn VS gensim

  Topic Modelling for Humans
  

• MLflow

  9.4 9.9 scikit-learn VS MLflow

  Open source platform for the machine learning lifecycle
  

• MindsDB

  9.4 10.0 scikit-learn VS MindsDB

  MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship AI powered projects to production in a fast and scalable way.
  

• TFLearn

  9.3 0.0 L3 scikit-learn VS TFLearn

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

• NuPIC

  8.8 0.0 L3 scikit-learn VS NuPIC

  Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
  

• H2O

  8.8 9.8 scikit-learn VS H2O

  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
  

• Pyro.ai

  8.7 8.0 scikit-learn VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  

• Surprise

  8.4 7.7 L4 scikit-learn VS Surprise

  A Python scikit for building and analyzing recommender systems

• srez

  8.3 0.0 L5 scikit-learn VS srez

  Image super-resolution through deep learning

• Pylearn2

  7.9 0.0 L2 scikit-learn VS Pylearn2

  Warning: This project does not have any current developer. See bellow.
  

• LightFM

  7.9 2.2 L4 scikit-learn VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• PyBrain

  7.7 0.0 L4 scikit-learn VS PyBrain

  Another Python Machine Learning Library.

• skflow

  7.6 1.3 L4 scikit-learn VS skflow

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

• Sacred

  7.6 8.2 scikit-learn VS Sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  

• Clairvoyant

  7.3 0.0 L3 scikit-learn VS Clairvoyant

  Software designed to identify and monitor social/historical cues for short term stock movement

• python-recsys

  6.3 0.0 L4 scikit-learn VS python-recsys

  A python library for implementing a recommender system

• Metrics

  6.2 0.0 scikit-learn VS Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

• awesome-embedding-models

  6.0 0.0 scikit-learn VS awesome-embedding-models

  A curated list of awesome embedding models tutorials, projects and communities.

• karateclub

  6.0 8.2 scikit-learn VS karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

• pydeep

  6.0 0.0 L3 scikit-learn VS pydeep

  Deep learning in Python

• Crab

  5.7 0.0 L2 scikit-learn VS Crab

  Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
  

• hebel

  5.1 0.0 L2 scikit-learn VS hebel

  GPU-Accelerated Deep Learning Library in Python

• seqeval

  4.5 0.0 scikit-learn VS seqeval

  A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
  

• adaptive

  4.5 9.3 scikit-learn VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• TrueSkill, the video game rating system

  4.2 0.0 scikit-learn VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python

• pdpipe

  3.9 7.4 scikit-learn VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• rwa

  3.9 0.0 L5 scikit-learn VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average

• SciKit-Learn Laboratory

  3.8 0.0 scikit-learn VS SciKit-Learn Laboratory

  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  

• Feature Forge

  3.5 0.0 L4 scikit-learn VS Feature Forge

  A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
  

• Data Flow Facilitator for Machine Learning (dffml)

  3.3 4.8 scikit-learn VS Data Flow Facilitator for Machine Learning (dffml)

  The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
  

• Xorbits

  3.2 9.5 scikit-learn VS Xorbits

  Scalable Python data science, in an API compatible & lightning fast way.
  

• brew

  3.2 0.0 L4 scikit-learn VS brew

  Multiple Classifier Systems and Ensemble Learning Library in Python.

• bodywork

  3.1 6.7 scikit-learn VS bodywork

  ML pipeline orchestration and model deployments on Kubernetes, made really easy.
  

• nptyping

  3.1 5.1 scikit-learn VS nptyping

  💡 Type hints for Numpy and Pandas

• MLP Classifier

  2.8 0.0 L4 scikit-learn VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.

• redframes

  2.7 10.0 scikit-learn VS redframes

  General Purpose Data Manipulation Library

• OptaPy

  2.6 5.1 scikit-learn VS OptaPy

  OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
  

• vowpal_porpoise

  2.5 0.0 L3 scikit-learn VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit

• openskill.py

  2.4 0.0 scikit-learn VS openskill.py

  Multiplayer rating system. Better than Elo.
  

• omega-ml

  1.7 8.6 scikit-learn VS omega-ml

  MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

• ChaiPy

  1.5 0.0 scikit-learn VS ChaiPy

  A developer interface for creating advanced chatbots for the Chai app.
  

• neptune-contrib

  1.4 0.0 scikit-learn VS neptune-contrib

  This library is a location of the LegacyLogger for PyTorch Lightning.
  

• tfgraphviz

  1.4 0.0 L5 scikit-learn VS tfgraphviz

  A visualization tool to show a TensorFlow's graph like TensorBoard

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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Popular Comparisons

• scikit-learn
  vs
  Keras
• scikit-learn
  vs
  tensorflow
• scikit-learn
  vs
  Surprise
• scikit-learn
  vs
  Prophet
• scikit-learn
  vs
  PyBrain

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