Skip to main content

'A framework for developing a realtime model-inference service.'

Project description

# ML Serving [![PyPI version](https://badge.fury.io/py/mlserving.svg)](https://badge.fury.io/py/mlserving) [![Build](https://github.com/orlevii/mlserving/workflows/build/badge.svg)]()

mlserving is a framework for developing a realtime model-inference service.

Allows you to easily set-up an inference-endpoint for your ML Model.

mlserving emphasizes on high performance and allows easy integration with other model servers such as TensorFlow Serving

Docs can found here: https://mlserving.readthedocs.io/en/latest/

## Motivation Data Scientists usually struggle with integrating their ML-models to production.

mlserving is here to make the development of model-servers easy for everyone.

## Installation `bash $ pip install mlserving `

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mlserving-utf-8-0.2.0.tar.gz (7.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mlserving_utf_8-0.2.0-py2-none-any.whl (15.5 kB view details)

Uploaded Python 2

File details

Details for the file mlserving-utf-8-0.2.0.tar.gz.

File metadata

  • Download URL: mlserving-utf-8-0.2.0.tar.gz
  • Upload date:
  • Size: 7.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.8.3 requests/2.27.1 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/2.7.17

File hashes

Hashes for mlserving-utf-8-0.2.0.tar.gz
Algorithm Hash digest
SHA256 845064efe662123b8977ecece14a146da768908427d277aa2d6ba51eba060223
MD5 38d50246da32d1effb919cbd8e17209e
BLAKE2b-256 96f35fba7cb6763a669c48765e0333cde6b50770546c228db960a4fe4096e5e2

See more details on using hashes here.

File details

Details for the file mlserving_utf_8-0.2.0-py2-none-any.whl.

File metadata

  • Download URL: mlserving_utf_8-0.2.0-py2-none-any.whl
  • Upload date:
  • Size: 15.5 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.8.3 requests/2.27.1 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/2.7.17

File hashes

Hashes for mlserving_utf_8-0.2.0-py2-none-any.whl
Algorithm Hash digest
SHA256 9f20f83ab8b2fe18f4a5f125673ace7c76707351a56331692bfcaa530a3fdb70
MD5 b33ad84c7192da9630c731f65848bc1d
BLAKE2b-256 46e459b137ab33781720dfad04375bf203e3d66d609f6829309c446de485e00b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page