{
    "info": {
        "author": "Juan Sebastian ULLOA and Sylvain HAUPERT",
        "author_email": "jseb.ulloa@gmail.com, sylvain.haupert@mnhn.fr",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
        ],
        "description": "scikit-maad is a modular toolbox to analyze ecoacoustics datasets in Python 3. This package was designed to bring flexibility to find regions of interest, and to compute acoustic features in audio recordings. This workflow opens the possibility to use powerfull machine learning algorithms through scikit-learn, allowing to identify key patterns in all kind of soundscapes.\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/scikit-maad/scikit-maad",
        "keywords": "ecoacoustics,machine learning,ecology,wavelets,signal processing",
        "license": "BSD 3 Clause",
        "maintainer": "Juan Sebastian ULLOA and Sylvain HAUPERT",
        "maintainer_email": "",
        "name": "scikit-maad",
        "package_url": "https://pypi.org/project/scikit-maad/",
        "platform": "",
        "project_url": "https://pypi.org/project/scikit-maad/",
        "project_urls": {
            "Homepage": "https://github.com/scikit-maad/scikit-maad"
        },
        "release_url": "https://pypi.org/project/scikit-maad/0.1.4/",
        "requires_dist": [
            "docutils (>=0.3)",
            "numpy (>=1.13)",
            "scipy (>=0.18)",
            "scikit-image (>=0.14)",
            "scikit-learn (>=0.18)",
            "pandas (>=0.23.4)"
        ],
        "requires_python": "",
        "summary": "scikit-maad is a modular toolbox to analyze ecoacoustics datasets",
        "version": "0.1.4"
    },
    "last_serial": 5141912,
    "releases": {
        "0.1.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "32c0d4c68702eaa295e55d0ac9eaa0ec",
                    "sha256": "3fae460f9c073d63a44a4df339b0f4791109b1b48db45c19c74253c63782fd36"
                },
                "downloads": -1,
                "filename": "scikit_maad-0.1.4-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "32c0d4c68702eaa295e55d0ac9eaa0ec",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 47825,
                "upload_time": "2019-04-14T20:49:14",
                "url": "https://files.pythonhosted.org/packages/90/9c/3add776c2c16e0b39ce51a8b0ff16b96cf09d3965183218894a3e1913622/scikit_maad-0.1.4-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "128684b885d83a9217506e458082b0c8",
                    "sha256": "d68bbea260aaca94f09839ff75be2fa15ca42e6e1e6c586da2fd1bb502879e37"
                },
                "downloads": -1,
                "filename": "scikit-maad-0.1.4.tar.gz",
                "has_sig": false,
                "md5_digest": "128684b885d83a9217506e458082b0c8",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 41527,
                "upload_time": "2019-04-14T20:49:17",
                "url": "https://files.pythonhosted.org/packages/ec/4a/4bec830abf65101891d20fec41659c32065cc74f53276c541203b6c793bf/scikit-maad-0.1.4.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "32c0d4c68702eaa295e55d0ac9eaa0ec",
                "sha256": "3fae460f9c073d63a44a4df339b0f4791109b1b48db45c19c74253c63782fd36"
            },
            "downloads": -1,
            "filename": "scikit_maad-0.1.4-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "32c0d4c68702eaa295e55d0ac9eaa0ec",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 47825,
            "upload_time": "2019-04-14T20:49:14",
            "url": "https://files.pythonhosted.org/packages/90/9c/3add776c2c16e0b39ce51a8b0ff16b96cf09d3965183218894a3e1913622/scikit_maad-0.1.4-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "128684b885d83a9217506e458082b0c8",
                "sha256": "d68bbea260aaca94f09839ff75be2fa15ca42e6e1e6c586da2fd1bb502879e37"
            },
            "downloads": -1,
            "filename": "scikit-maad-0.1.4.tar.gz",
            "has_sig": false,
            "md5_digest": "128684b885d83a9217506e458082b0c8",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 41527,
            "upload_time": "2019-04-14T20:49:17",
            "url": "https://files.pythonhosted.org/packages/ec/4a/4bec830abf65101891d20fec41659c32065cc74f53276c541203b6c793bf/scikit-maad-0.1.4.tar.gz"
        }
    ]
}