DataRobot vs PredictionIO
Overview
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CLI (Node.js)
Manual
Detailed Comparison
PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. | It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation. |
Integrated with state-of-the-art machine learning algorithms. Fine-tune, evaluate and implement them scientifically.;Customize the modularized open codebase to fulfill any unique prediction requirement.;Built on top of scalable frameworks such as Hadoop and Cascading. Ready to handle data of any scale.;Build powerful features in minutes, not months. Streamline the data engineering process. | Automated machine learning;
Data accuracy;
Speed;
Ease of use;
Ecosystem of algorithms;
Data preparation;
ETL and visualization tools;
Integration with enterprise security technologies;
Numerous database certifications;
Distributed and self-healing architecture;
Hadoop cluster plug and play |
Statistics | |
Stacks 67 | Stacks 27 |
Followers 110 | Followers 83 |
Votes 8 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to PredictionIO, DataRobot?
TensorFlow
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scikit-learn
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PyTorch
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Keras
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Kubeflow
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TensorFlow.js
Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
Polyaxon
An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
Streamlit
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MLflow
MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
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.
