Metadata-Version: 2.1
Name: aqueduct
Version: 1.10.5
Summary: Builder for performance-efficient prediction.
Home-page: https://github.com/avito-tech/aqueduct
Author: Data Science SWAT
Author-email: UnitDataScienceSwat@avito.ru
License: MIT
Download-URL: https://github.com/avito-tech/aqueduct/archive/refs/heads/main.zip
Keywords: datascience,learning
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/x-rst

========
Aqueduct
========

Framework for performance-efficient prediction.

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


Documentation
=============

- `Getting started <docs/getting_started.rst>`_
- `Batching <docs/batching.rst>`_
- `F.A.Q. <docs/faq.rst>`_
- Additional features
- - `Sentry support <docs/sentry.rst>`_

Examples
========

- `Aiohttp <examples/aiohttp/>`_
- `Flask <examples/flask/>`_

Contact Us
==========

Feel free to ask questions in Telegram: `t.me/avito-ml <https://t.me/avito_ml>`_


