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Metarank

An open-source and privacy-focused personalized ranking service
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What is Metarank?

It makes it easy to personalize any listing: recommendations, articles, and search results. Developers make one reranking API call, and Metarank takes care of ML feature updates, model training, and improving target goals like CTR/conversion.
Metarank is a tool in the Machine Learning Tools category of a tech stack.
Metarank is an open source tool with 2K GitHub stars and 82 GitHub forks. Here’s a link to Metarank's open source repository on GitHub

Who uses Metarank?

Companies

Developers

Metarank Integrations

Kubernetes, Redis, Kafka, JSON, and YAML are some of the popular tools that integrate with Metarank. Here's a list of all 7 tools that integrate with Metarank.

Metarank's Features

  • Built-in feature store to compute features used for online and offline training
  • REST API, Kafka, Apache Pulsar connectors to receive events and metadata updates
  • Offline and online (real-time personalization) operation modes
  • Explain mode to understand how final ranking is computed
  • Local mode to run Metarank locally without deploying to a cluster
  • Cloud native: deploy Metarank to Kubernetes or AWS

Metarank Alternatives & Comparisons

What are some alternatives to Metarank?
JavaScript
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Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
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Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
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Metarank's Followers
9 developers follow Metarank to keep up with related blogs and decisions.