Datatron vs H2O
Overview
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Detailed Comparison
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. | Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment. |
| - | Explore models built and uploaded by your Data Science team, all from one centralized repository; Create and scale model deployments in just a few clicks. Deploy models developed in any framework or language; Make better business decisions to save your team time and money. Monitor model performance and detect model decay as it happens; Spend less time on model validation, bias detection, and internal audit processes. Go from model development to internal auditing to production faster than ever; Manage multivariate models through A/B testing for live inference and batch tasks; Apply business logic to your model prediction results. Create workflows for your models using multiple sources and languages |
Statistics | |
GitHub Stars 7.3K | GitHub Stars - |
GitHub Forks 2.0K | GitHub Forks - |
Stacks 122 | Stacks 0 |
Followers 211 | Followers 10 |
Votes 8 | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to H2O, Datatron?
Heroku
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Google App Engine
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Red Hat OpenShift
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AWS Elastic Beanstalk
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Hasura
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Jelastic
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