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Clipper

A prediction serving system for TensorFlow, PyTorch, PySpark and others
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What is Clipper?

It is a low-latency prediction serving system for machine learning. Clipper makes it simple to integrate machine learning into user-facing serving systems.
Clipper is a tool in the Machine Learning Tools category of a tech stack.
Clipper is an open source tool with 1.1K GitHub stars and 243 GitHub forks. Here’s a link to Clipper's open source repository on GitHub

Why developers like Clipper?

Here’s a list of reasons why companies and developers use Clipper
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Clipper's Features

  • Simplifies integration of machine learning techniques
  • Simplifies model deployment and helps reduce common bugs
  • Improves throughput and ensures reliable millisecond latencies
  • Improves prediction accuracy

Clipper Alternatives & Comparisons

What are some alternatives to Clipper?
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.
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/
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.
ML Kit
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
See all alternatives

Clipper's Followers
1 developers follow Clipper to keep up with related blogs and decisions.
Raphael Zulliger