Why developers like Metarank

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 79 GitHub forks. Here’s a link to Metarank's open source repository on GitHub

Who uses Metarank?

Companies

KMW Reisen GmbH

Developers

My Stack

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.

Kubernetes

Redis

Kafka

JSON

YAML

Apache Pulsar

Snowplow

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.

Metarank