{
    "info": {
        "author": "Joshua S Speagle",
        "author_email": "jspeagle@cfa.harvard.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Astronomy"
        ],
        "description": "frankenz\r\n=========\r\n#### A photometric redshift monstrosity.\r\n\r\n**WARNING: This project is under active development and not yet stable.**\r\n\r\n`frankenz` is a Pure Python implementation of a variety of methods to quickly\r\nyet robustly perform (hierarchical) Bayesian inference using large\r\n(but discrete) sets of (possibly noisy) models with (noisy) photometric data.\r\nThe code also contains a number of additional utilities, including:\r\n- a module for generating quick mocks (along with filter curves and SEDs), \r\n- several manifold-learning algorithms,\r\n- a flexible set of photometric likelihoods,\r\n- fast kernel density estimation, and\r\n- PDF-oriented plotting utilities.\r\n\r\nPaper forthcoming.\r\n\r\n### Documentation\r\n**Currently nonexistent.** See the demos for examples.\r\n\r\n### Installation\r\n`frankenz` can be installed via\r\n```\r\npip install frankenz\r\n```\r\nAlternately, it can also be installed by running\r\n```\r\npython setup.py install\r\n```\r\nfrom inside the repository.\r\n\r\n### Demos\r\nSeveral Jupyter notebooks that demonstrate most of the available features\r\ncan be found [here](https://github.com/joshspeagle/frankenz/tree/master/demos).\r\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/joshspeagle/frankenz",
        "keywords": "photo-z",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "frankenz",
        "package_url": "https://pypi.org/project/frankenz/",
        "platform": "",
        "project_url": "https://pypi.org/project/frankenz/",
        "project_urls": {
            "Homepage": "https://github.com/joshspeagle/frankenz"
        },
        "release_url": "https://pypi.org/project/frankenz/0.1.5/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "A photometric redshift monstrosity",
        "version": "0.1.5"
    },
    "last_serial": 3819600,
    "releases": {
        "0.1.5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "fa3629a1b6ac7998cfbf7842146b31f1",
                    "sha256": "423b1d4dc070b0bb08b86095c34c5c5c545adbba4faaf4f83504cba64123f2fb"
                },
                "downloads": -1,
                "filename": "frankenz-0.1.5.tar.gz",
                "has_sig": false,
                "md5_digest": "fa3629a1b6ac7998cfbf7842146b31f1",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 5402308,
                "upload_time": "2018-04-30T01:28:56",
                "url": "https://files.pythonhosted.org/packages/b8/4d/02a0e24e49e0a2c748f97f83cf866a40a76b379964ee8074be335a02c9cf/frankenz-0.1.5.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "fa3629a1b6ac7998cfbf7842146b31f1",
                "sha256": "423b1d4dc070b0bb08b86095c34c5c5c545adbba4faaf4f83504cba64123f2fb"
            },
            "downloads": -1,
            "filename": "frankenz-0.1.5.tar.gz",
            "has_sig": false,
            "md5_digest": "fa3629a1b6ac7998cfbf7842146b31f1",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 5402308,
            "upload_time": "2018-04-30T01:28:56",
            "url": "https://files.pythonhosted.org/packages/b8/4d/02a0e24e49e0a2c748f97f83cf866a40a76b379964ee8074be335a02c9cf/frankenz-0.1.5.tar.gz"
        }
    ]
}