Software Alternatives, Accelerators & Startups

Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Some of the top features or benefits of Scikit-learn are: Ease of Use, Extensive Documentation and Community Support, Integration with Other Libraries, Variety of Algorithms, and Performance. You can visit the info page to learn more.

Best Scikit-learn Alternatives & Competitors in 2024

The best Scikit-learn alternatives based on verified products, community votes, reviews and other factors.
Filter: 12 Open-Source Alternatives. Latest update:

  1. 174

    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

    Key Pandas features:

    Data Wrangling Flexible Data Structures Integration with Other Libraries Performance with Data Size

    Open Source

    /pandas-alternatives
  2. 161

    OpenCV is the world's biggest computer vision library

    Key OpenCV features:

    Comprehensive Library Cross-Platform Compatibility Open Source Large Community Support

    Open Source

    /opencv-alternatives
  3. Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.

    Key ASocks features:

    HTTP Socks5 ASN targeting Pay as you go

    Try for free paid Free Trial $3.0 (3$ per 1 Gb)

    Try for free
  4. 150

    NumPy is the fundamental package for scientific computing with Python

    Key NumPy features:

    Performance Versatility Ease of Use Community Support

    Open Source

    /numpy-alternatives
  5. 141

    Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

    Key Dataiku features:

    User-Friendly Interface Collaborative Environment End-to-End Workflow Integrations and Extensibility

    /dataiku-alternatives
  6. 146

    WEKA is a set of powerful data mining tools that run on Java.

    Key WEKA features:

    User-Friendly Interface Wide Range of Algorithms Open Source Extensive Documentation

    /weka-alternatives
  7. 125

    htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

    Key htm.java features:

    Biologically Inspired Algorithms Time Series Prediction Open Source Java Ecosystem Integration

    /htm-java-alternatives
  8. 125

    Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

    Key Exploratory features:

    User-friendly Interface Integration with R Rich Visualization Options Collaborative Features

    /exploratory-alternatives
  9. 125

    Figure Eight is the essential Human-in-the-Loop Machine Learning platform.

    Key Figure Eight features:

    Scalability Diverse Workforce Workflow Customization Integration Capabilities

    /figure-eight-alternatives
  10. 120

    GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

    Key Turi GraphLab Create features:

    Ease of Use Scalability Integrated Toolset Graph Processing Capabilities

    /turi-graphlab-create-alternatives
  11. 119

    Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.

    Key Logical Glue features:

    Interpretability User-Friendly Interface Automated Machine Learning Regulatory Compliance

    /logical-glue-alternatives
  12. 117

    The DimML programming language enables users to run any data solution on any website with only a single line of code.

    Key DimML features:

    Ease of Use Scalability Integration Customization

    /dimml-alternatives
  13. 121

    RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

    Key RapidMiner features:

    Ease of Use Integration Capabilities Comprehensive Feature Set Community and Support

    /rapidminer-alternatives
  14. 70

    TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

    Key TensorFlow features:

    Comprehensive Ecosystem Community and Support Flexibility Integrations

    Open Source

    /tensorflow-alternatives
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