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An enterprise-grade, high performance feature store (By LinkedIn)
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What is Feathr?

This feature store is built to simplify machine learning (ML) feature management and improve developer productivity. It automatically computes your feature values and joins them to your training data, using point-in-time-correct semantics to avoid data leakage, and supports materializing and deploying your features for use online in production.
Feathr is a tool in the Machine Learning Tools category of a tech stack.
Feathr is an open source tool with GitHub stars and GitHub forks. Here’s a link to Feathr's open source repository on GitHub

Who uses Feathr?


9 developers on StackShare have stated that they use Feathr.

Feathr's Features

  • Define features
  • Get those features by their names
  • Share features
  • Rich UDF support

Feathr Alternatives & Comparisons

What are some alternatives to Feathr?
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 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 is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.
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Feathr's Followers
10 developers follow Feathr to keep up with related blogs and decisions.