Software Alternatives & Reviews

DEAP

DEAP is an evolutionary computation framework for rapid prototyping and testing of ideas. subtitle

Top 12 Open-Source Alternatives to DEAP

NumPy Scikit-learn OpenCV Feature Forge Pandas Keras neptune.ai Google Cloud Machine Learning DatumBox Pylearn2

Summary

The top open-source alternatives to DEAP are NumPy, Scikit-learn, and OpenCV. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 1
    NumPy is the fundamental package for scientific computing with Python
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions

  2. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 27 social mentions

  3. 3
    OpenCV is the world's biggest computer vision library
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Computer Vision 50 social mentions

  4. Feature Forge offers a set of tools for creating and testing machine learning features.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools

  5. 5
    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 198 social mentions

  6. 6
    Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #OCR 31 social mentions

  7. Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
    Pricing:
    • Open Source
    • Freemium
    • Free Trial

    #Data Science And Machine Learning #Data Science Notebooks #Machine Learning Tools 22 social mentions

  8. Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 21 social mentions

  9. DatumBox is a machine learning framework that can be applied to a wide variety of complex applications, though it's primarily used for social media analytics.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools

  10. Pylearn2 is a library for machine learning research.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools 1 social mentions

  11. 11
    The safest and most minimalistic smart lock
    Pricing:
    • Open Source

    #Home Intelligence #Energy Monitoring #Data Science And Machine Learning

  12. 12
    MLKit is a simple machine learning framework written in Swift.
    Pricing:
    • Open Source

    #Data Science And Machine Learning #Data Science Tools #Python Tools

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