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DEEPaaS\n\n[![fair-software.eu](https://img.shields.io/badge/fair--software.eu-%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F-green)](https://fair-software.eu)\n[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/9063/badge)](https://www.bestpractices.dev/projects/9063)\n[![GitHub license](https://img.shields.io/github/license/ai4os/DEEPaaS.svg)](https://github.com/ai4os/DEEPaaS/blob/master/LICENSE)\n[![GitHub release](https://img.shields.io/github/release/ai4os/DEEPaaS.svg)](https://github.com/ai4os/DEEPaaS/releases)\n[![PyPI](https://img.shields.io/pypi/v/deepaas.svg)](https://pypi.python.org/pypi/deepaas)\n[![Python versions](https://img.shields.io/pypi/pyversions/deepaas.svg)](https://pypi.python.org/pypi/deepaas)\n[![Build Status](https://jenkins.services.ai4os.eu/job/AI4OS/job/DEEPaaS/job/master/badge/icon)](https://jenkins.services.ai4os.eu/job/AI4OS/job/DEEPaaS/job/master/)\n[![Documentation Status](https://readthedocs.org/projects/deepaas/badge/?version=latest)](https://deepaas.readthedocs.io/en/latest/)\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.01517/status.svg)](https://doi.org/10.21105/joss.01517)\n[![Zenodo DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1544377.svg)](https://zenodo.org/doi/10.5281/zenodo.1544377)\n\n\u003cimg src=\"https://raw.githubusercontent.com/ai4os/.github/ai4os/profile/horizontal-transparent.png\" width=200 alt=\"AI4EOSC logo\"/\u003e\n\u003cimg src=\"https://marketplace.deep-hybrid-datacloud.eu/images/logo-deep.png\" width=200 alt=\"DEEP-Hybrid-DataCloud logo\"/\u003e\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[![DOI](https://joss.theoj.org/papers/10.21105/joss.01517/status.svg)](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\u003e Lopez Garcia, A. \"DEEPaaS API: a REST API for Machine Learning and\n\u003e Deep Learning models\". In: _Journal of Open Source Software_ 4(42) (2019),\n\u003e 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","funding_links":[],"categories":["Python"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fai4os%2FDEEPaaS","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fai4os%2FDEEPaaS","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fai4os%2FDEEPaaS/lists"}