Skip to main content

Can only serve machine learning models.

Project description

NOTE: Currently in beta development. Breaking changes may happen at any time.

The Karlovic library aims to simplify the process of setting up a htts server that serves machine learning models.


pip install karlovic


from karlovic import model_server

def bottle_configuration_function(bottle):
  # Configure bottle

plugins = [

app, run_server = model_server(plugins, bottle_configuration_function)

# Use the app decorator to define endpoints
def hello():
  return "<h1>Hello World</h1>"'/world')
def hello(image):
  return "some response"

use_image_form(app, ['/world'])
# Creates GET '/world/form' that posts an
# image to '/world'


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

karlovic-0.1.4b0.tar.gz (11.4 kB view hashes)

Uploaded source

Built Distribution

karlovic-0.1.4b0-py3-none-any.whl (14.3 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page