{ "info": { "author": "Richard Berry", "author_email": "rjsberry@protonmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: Unix", "Programming Language :: Python :: 3.6" ], "description": "libemd is an open-source Python library for the empirical mode\ndecomposition signal processing technique and it's variations.\n\nLots of other packages exist for EMD in Python. So why should you use\nlibemd?\n\n - libemd is an original Pythonic implementation of the algorithm. \n Other existing libraries borrow heavily from unlicensed Matlab\n source code without attribution. libemd does not.\n\n - libemd has Cython implementations of the algorithms in its roadmap,\n specifically designed for use cases with high sampling frequencies\n that demand performance.\n\n - libemd ships with a permissive, compatible open-source license.\n", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/rjsberry/libemd/archive/0.1.0.tar.gz", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/rjsberry/libemd", "keywords": "", "license": "BSD-2-Clause", "maintainer": "", "maintainer_email": "", "name": "libemd", "package_url": "https://pypi.org/project/libemd/", "platform": "Linux", "project_url": "https://pypi.org/project/libemd/", "project_urls": { "Download": "https://github.com/rjsberry/libemd/archive/0.1.0.tar.gz", "Homepage": "https://github.com/rjsberry/libemd" }, "release_url": "https://pypi.org/project/libemd/0.1.0/", "requires_dist": null, "requires_python": "", "summary": "A library for empirical mode decomposition and it's variations.", "version": "0.1.0" }, "last_serial": 3219312, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "12443ca34525d2a31b6d18e8f687601a", "sha256": "e884aa545ff91b5be96c9e6fc4843c3e7dd290bdc1c83fe3198cc83145b9efb1" }, "downloads": -1, "filename": "libemd-0.1.0.tar.gz", "has_sig": false, "md5_digest": "12443ca34525d2a31b6d18e8f687601a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 11451, "upload_time": "2017-10-02T14:25:35", "url": "https://files.pythonhosted.org/packages/c8/98/ac243b18d7b72e1623d7ab39b02b479a34795b25b3fa223180b48a2beca2/libemd-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "12443ca34525d2a31b6d18e8f687601a", "sha256": "e884aa545ff91b5be96c9e6fc4843c3e7dd290bdc1c83fe3198cc83145b9efb1" }, "downloads": -1, "filename": "libemd-0.1.0.tar.gz", "has_sig": false, "md5_digest": "12443ca34525d2a31b6d18e8f687601a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 11451, "upload_time": "2017-10-02T14:25:35", "url": "https://files.pythonhosted.org/packages/c8/98/ac243b18d7b72e1623d7ab39b02b479a34795b25b3fa223180b48a2beca2/libemd-0.1.0.tar.gz" } ] }