======== 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>_