# DEEPaaS
[](https://github.com/indigo-dc/DEEPaaS/blob/master/LICENSE)
[](https://github.com/indigo-dc/DEEPaaS/releases)
[](https://pypi.python.org/pypi/deepaas)
[](https://pypi.python.org/pypi/deepaas)
[](https://jenkins.indigo-datacloud.eu/job/Pipeline-as-code/job/DEEPaaS/job/master/)
[](https://doi.org/10.21105/joss.01517)
<img src="https://raw.githubusercontent.com/ai4os/.github/ai4os/profile/horizontal-transparent.png" width=200 alt="AI4EOSC logo"/>
<img src="https://marketplace.deep-hybrid-datacloud.eu/images/logo-deep.png" width=200 alt="DEEP-Hybrid-DataCloud logo"/>
DEEP as a Service API (DEEPaaS API) is a REST API built on
[aiohttp](https://docs.aiohttp.org/) that allows to provide easy access to
machine learning, deep learning and artificial intelligence models. By using
the DEEPaaS API users can easily run a REST API in front of their model, thus
accessing its functionality via HTTP calls. DEEPaaS API leverages the [OpenAPI
specification](https://github.com/OAI/OpenAPI-Specification).
# Documentation
The DEEPaaS documentation is hosted on [Read the Docs](https://deepaas.readthedocs.io/).
## 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 (i.e. the Swagger web UI).
### 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
# Citing
[](https://doi.org/10.21105/joss.01517)
If you are using this software and want to cite it in any work, please use the
following:
> Lopez Garcia, A. "DEEPaaS API: a REST API for Machine Learning and
> Deep Learning models". In: _Journal of Open Source Software_ 4(42) (2019),
> pp. 1517. ISSN: 2475-9066. DOI: [10.21105/joss.01517](https://doi.org/10.21105/joss.01517)
You can also use the following BibTeX entry:
@article{Lopez2019DEEPaaS,
journal = {Journal of Open Source Software},
doi = {10.21105/joss.01517},
issn = {2475-9066},
number = {42},
publisher = {The Open Journal},
title = {DEEPaaS API: a REST API for Machine Learning and Deep Learning models},
url = {http://dx.doi.org/10.21105/joss.01517},
volume = {4},
author = {L{\'o}pez Garc{\'i}a, {\'A}lvaro},
pages = {1517},
date = {2019-10-25},
year = {2019},
month = {10},
day = {25},}
# Acknowledgements
This software has been developed within the DEEP-Hybrid-DataCloud (Designing
and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud)
project that has received funding from the European Union's Horizon 2020
research and innovation programme under grant agreement No 777435.
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"description": "# DEEPaaS\n\n[](https://github.com/indigo-dc/DEEPaaS/blob/master/LICENSE)\n[](https://github.com/indigo-dc/DEEPaaS/releases)\n[](https://pypi.python.org/pypi/deepaas)\n[](https://pypi.python.org/pypi/deepaas)\n[](https://jenkins.indigo-datacloud.eu/job/Pipeline-as-code/job/DEEPaaS/job/master/)\n[](https://doi.org/10.21105/joss.01517)\n\n<img src=\"https://raw.githubusercontent.com/ai4os/.github/ai4os/profile/horizontal-transparent.png\" width=200 alt=\"AI4EOSC logo\"/>\n<img src=\"https://marketplace.deep-hybrid-datacloud.eu/images/logo-deep.png\" width=200 alt=\"DEEP-Hybrid-DataCloud logo\"/>\n\nDEEP as a Service API (DEEPaaS API) is a REST API built on\n[aiohttp](https://docs.aiohttp.org/) that allows to provide easy access to\nmachine learning, deep learning and artificial intelligence models. By using\nthe DEEPaaS API users can easily run a REST API in front of their model, thus\naccessing its functionality via HTTP calls. DEEPaaS API leverages the [OpenAPI\nspecification](https://github.com/OAI/OpenAPI-Specification).\n\n# Documentation\n\nThe DEEPaaS documentation is hosted on [Read the Docs](https://deepaas.readthedocs.io/).\n\n\n## Quickstart\n\nThe best way to quickly try the DEEPaaS API is through:\n\n make run\n\nThis command will install a virtualenv (in the `virtualenv` directory) with\nDEEPaaS and all its dependencies and will run the DEEPaaS REST API, listening\non `127.0.0.1:5000`. If you browse to `http://127.0.0.1:5000` you will get the\nSwagger documentation page (i.e. the Swagger web UI).\n\n### Develop mode\n\nIf you want to run the code in develop mode (i.e. `pip install -e`), you can\nissue the following command before:\n\n make develop\n\n\n# Citing\n\n[](https://doi.org/10.21105/joss.01517)\n\nIf you are using this software and want to cite it in any work, please use the\nfollowing:\n\n> Lopez Garcia, A. \"DEEPaaS API: a REST API for Machine Learning and\n> Deep Learning models\". In: _Journal of Open Source Software_ 4(42) (2019),\n> pp. 1517. ISSN: 2475-9066. DOI: [10.21105/joss.01517](https://doi.org/10.21105/joss.01517)\n\nYou can also use the following BibTeX entry:\n\n @article{Lopez2019DEEPaaS,\n journal = {Journal of Open Source Software},\n doi = {10.21105/joss.01517},\n issn = {2475-9066},\n number = {42},\n publisher = {The Open Journal},\n title = {DEEPaaS API: a REST API for Machine Learning and Deep Learning models},\n url = {http://dx.doi.org/10.21105/joss.01517},\n volume = {4},\n author = {L{\\'o}pez Garc{\\'i}a, {\\'A}lvaro},\n pages = {1517},\n date = {2019-10-25},\n year = {2019},\n month = {10},\n day = {25},}\n\n# Acknowledgements\n\nThis software has been developed within the DEEP-Hybrid-DataCloud (Designing\nand Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud)\nproject that has received funding from the European Union's Horizon 2020\nresearch and innovation programme under grant agreement No 777435.\n\n",
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