PhilipWhat is Truss?
It is a seamless bridge from model development to model delivery. Truss presents an open-source standard for packaging models built in any framework for sharing and deployment in any environment, local or production.
Truss is a tool in the Development & Training Tools category of a tech stack.
Key Features
Turns your Python model into a microservice with a production-ready API endpoint, no need for Flask or DjangoFor most popular frameworks, includes automatic model serialization and deserializationFreezes dependencies via Docker to make your training environment portableEnables rapid iteration with local development that matches your production environmentEncourages shipping parsing and even business logic alongside your model with integrated pre- and post-processing functionsBundles secret management to securely give your model access to API keys
Truss Pros & Cons
Pros of Truss
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Cons of Truss
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Truss Alternatives & Comparisons
What are some alternatives to Truss?
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.
