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Serving Alternatives
Similar projects and alternatives to serving
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server
The Triton Inference Server provides an optimized cloud and edge inferencing solution. (by triton-inference-server)
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Sonar
Write Clean C++ Code. Always.. Sonar helps you commit clean C++ code every time. With over 550 unique rules to find C++ bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
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pinferencia
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
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maturin
Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better serving alternative or higher similarity.
serving reviews and mentions
Posts with mentions or reviews of serving.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-08.
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Would you use maturin for ML model serving?
Which ML framework do you use? Tensorflow has https://github.com/tensorflow/serving. You could also use the Rust bindings to load a saved model and expose it using one of the Rust HTTP servers. It doesn't matter whether you trained your model in Python as long as you export its saved model.
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Popular Machine Learning Deployment Tools
GitHub
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If data science uses a lot of computational power, then why is python the most used programming language?
You serve models via https://www.tensorflow.org/tfx/guide/serving which is written entirely in C++ (https://github.com/tensorflow/serving/tree/master/tensorflow_serving/model_servers), no Python on the serving path or in the shipped product.
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Exposing Tensorflow Serving’s gRPC Endpoints on Amazon EKS
gRPC only connects to a host and port — but we can use whatever service route we want. Above I use the path we configured in our k8s ingress object: /service1, and overwrite the base configuration provided by tensorflow serving. When we call the tfserving_metadata function above, we specify /service1 as an argument.
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A note from our sponsor - Sonar
www.sonarsource.com | 24 Mar 2023
Stats
Basic serving repo stats
11
5,805
8.7
2 days ago
tensorflow/serving is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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