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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 77 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?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
See all alternatives
Related Comparisons
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Metarank's Followers
9 developers follow Metarank to keep up with related blogs and decisions.