aqueduct 1.11.7

Builder for performance-efficient prediction.

Framework to make youre prediction performance-efficient and scalable.

Key Benefits

• Increases the throughput of your machine learning-based service

• Uses shared memory for instantaneous transfer of large amounts of data between processes

• All optimizations in one library

• Supports multiple frameworks

Documentation

• Videos about aqueduct

• Getting started

• • Fundamentals

• • Example

• Batching

• Logging

• Metrics

• F.A.Q.

• Additional features

• • Sentry support

Examples

• Aiohttp

• Flask

Installation

Install using pip:

pip install aqueduct

Moreover, aqueduct has “optional extras”

• numpy - support types from numpy in shared memory

• aiohttp - extension for aiohttp support(see more in examples)

pip install aqueduct[numpy,aiohttp]

Contact Us

Feel free to ask questions in Telegram: t.me/avito-ml