Software Alternatives, Accelerators & Startups

AWS Personalize

Real-time personalization and recommendation engine in AWS.

Some of the top features or benefits of AWS Personalize are: Personalization Accuracy, Easy Integration, Scalability, Real-time Recommendations, and Managed Service. You can visit the info page to learn more.

AWS Personalize

AWS Personalize Alternatives & Competitors

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

  1. 26

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

    Key Scikit-learn features:

    Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

    Open Source

    /scikit-learn-alternatives
  2. 25

    Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

    Key machine-learning in Python features:

    Ease of Use Rich Ecosystem Community Support Integration Capabilities

    /machine-learning-in-python-alternatives
  3. Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI.

    Key Grapple features:

    Automatic Data Refresh Universal Data Library Natural Language Map Data

    Visit website freemium $99.0 / Monthly (Per Editor, Unlimited Viewers)

    Visit website
  4. 25

    Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

    Key Google Cloud TPU features:

    High Performance Scalability Ease of Integration Cost-Effective

    Open Source

    /google-cloud-tpu-alternatives
  5. 22

    python-recsys is a python library for implementing a recommender system.

    Key python-recsys features:

    Ease of Use Open Source Collaborative Filtering Integration

    Open Source

    /python-recsys-alternatives
  6. 22

    Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

    Key Amazon Forecast features:

    Automated Machine Learning Integration with AWS Ecosystem Variety of Algorithms Scalability

    /amazon-forecast-alternatives
  7. 14

    Obtains details of a cached recommendation. .

    Key Microsoft Recommendations API features:

    Integration Personalization Scalability Real-time Recommendations

    /microsoft-recommendations-api-alternatives
  8. 21

    GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

    Key GoLearn features:

    Ease of Use Integration with Go Active Community Basic Machine Learning Algorithms

    Open Source

    /golearn-alternatives
  9. 10

    Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

    Key Qubole features:

    Scalability Multi-cloud Support Unified Interface Cost Management

    Open Source

    /qubole-alternatives
  10. 12

    BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

    Key BigML features:

    User-Friendly Interface Wide Range of Algorithms Ease of Integration Visualization Tools

    /bigml-alternatives
  11. 13

    Train custom ML models with minimum effort and expertise.

    Key Google CLOUD AUTOML features:

    Ease of Use Integration Customization Speed

    /google-cloud-automl-alternatives
  12. 16

    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
  13. 10

    Crab is a Python framework for building recommender engines.

    Key Crab features:

    Ease of Use Flexibility Open Source Compatibility with Python

    /crab-alternatives
  14. Machine learning made easy for developers of any skill level.

    Key Amazon Machine Learning features:

    Scalability Integration with AWS Ease of Use Performance

    /amazon-machine-learning-alternatives
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