Skip to main content

DEEPaaS is a REST API to expose a machine learning model.

Project description

# DEEPaaS

[![GitHub license](https://img.shields.io/github/license/indigo-dc/DEEPaaS.svg)](https://github.com/indigo-dc/DEEPaaS/blob/master/LICENSE) [![GitHub release](https://img.shields.io/github/release/indigo-dc/DEEPaaS.svg)](https://github.com/indigo-dc/DEEPaaS/releases) [![PyPI](https://img.shields.io/pypi/v/deepaas.svg)](https://pypi-hypernode.com/pypi/deepaas) [![Python versions](https://img.shields.io/pypi/pyversions/deepaas.svg)](https://pypi-hypernode.com/pypi/deepaas) [![Build Status](https://jenkins.indigo-datacloud.eu/buildStatus/icon?job=Pipeline-as-code%2FDEEPaaS%2Fmaster)](https://jenkins.indigo-datacloud.eu/job/Pipeline-as-code/job/DEEPaaS/job/master/)

DEEP as a Service (DEEPaaS) is a REST API that is focused on providing access to machine learning models. By using DEEPaaS users can easily run a REST API in front of their model, thus accessing its functionality via HTTP calls.

## Quickstart

The best way to quickly try the DEEPaaS API is through:

make run

This command will install a virtualenv (in the virtualenv directory) with DEEPaaS and all its dependencies and will run the DEEPaaS REST API, listening on 127.0.0.1:5000. If you browse to http://127.0.0.1:5000 you will get the swagger documentation page.

### Develop mode

If you want to run the code in develop mode (i.e. pip install -e), you can issue the following command before:

make develop

# Documentation

The DEEPaaS documentation is hosted on [Read the Docs](https://deepaas.readthedocs.io/).

Download files

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

Source Distribution

deepaas-0.4.1.tar.gz (110.1 kB view details)

Uploaded Source

Built Distribution

deepaas-0.4.1-py2.py3-none-any.whl (30.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file deepaas-0.4.1.tar.gz.

File metadata

  • Download URL: deepaas-0.4.1.tar.gz
  • Upload date:
  • Size: 110.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.22.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.7.3

File hashes

Hashes for deepaas-0.4.1.tar.gz
Algorithm Hash digest
SHA256 6f03d6d8ebc4b62c29de5414fb44de4484f4de72d6f48c94a12b574f9c292349
MD5 6165b2e28fb411b195521d4a152cfcd1
BLAKE2b-256 7a061ac579826612db81c3f13fa55232751f18a663d5cd5d156e2c9bc7179733

See more details on using hashes here.

File details

Details for the file deepaas-0.4.1-py2.py3-none-any.whl.

File metadata

  • Download URL: deepaas-0.4.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 30.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.22.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.7.3

File hashes

Hashes for deepaas-0.4.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 aa56b073cc2521ee093d7c1f90307a58b786603aa621be99e4357249ca892e69
MD5 b3c2d539728ec4d96255ebdc4371567f
BLAKE2b-256 6b999e5fa7976cd7a3b0aaeec5d707897881d02d620ab70b5d90fe7f4700b0f6

See more details on using hashes here.

Supported by

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