{"id":13836658,"url":"https://github.com/nigma/pywt","last_synced_at":"2025-08-09T23:07:47.472Z","repository":{"id":1138445,"uuid":"1017693","full_name":"nigma/pywt","owner":"nigma","description":"We're moving. 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The new home for the project is https://github.com/PyWavelets.**\n\nThanks everyone for starring, forking and following this repository on Github.\n\nThe PyWavelets project has a new home and maintainers.\n\nPlease go to https://github.com/PyWavelets/pywt and follow the development and new releases there.\n\nPyWavelets - Discrete Wavelet Transform in Python\n=================================================\n\nPyWavelets is a free Open Source wavelet transform software for Python_\nprogramming language. It is written in Python, Cython and C for a mix of easy\nand powerful high-level interface and the best performance.\n\nPyWavelets is very easy to start with and use, and currently is capable of:\n\n  * 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)\n  * 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)\n  * 1D and 2D Wavelet Packet decomposition and reconstruction\n  * Approximating wavelet and scaling functions\n  * Over seventy built-in wavelet filters and custom wavelets supported\n  * Single and double precision calculations\n  * Results compatibility with Matlab Wavelet Toolbox (tm)\n\n.. image::\n    https://secure.travis-ci.org/nigma/pywt.png?branch=develop\n    :alt: Build Status\n    :target: https://secure.travis-ci.org/nigma/pywt\n\n\nRequirements\n------------\n\nPyWavelets is a package for the Python programming language. It requires:\n\n - Python_ 2.6 or 2.7\n - numpy_ numeric array module\n\nDownload\n--------\n\nThe most recent *development* version can be found on GitHub at\nhttps://github.com/nigma/pywt.\n\nLatest release, including source and binary package for Windows, is available\nfor download from the `Python Package Index`_.\n\nInstall\n-------\n\nIn order to build PyWavelets from source, a working C compiler (GCC or MSVC)\nand a recent version of Cython_ is required.\n\n - To install PyWavelets open shell prompt and type ``pip install PyWavelets``\n   or ``easy_install PyWavelets``.\n\n - To build and install from source, navigate to downloaded PyWavelets source\n   code directory and type ``python setup.py install``.\n\n - The `in-development version`_ of PyWavelets can be installed with\n   ``pip install PyWavelets==dev`` or ``easy_install PyWavelets==dev``.\n\nPrebuilt Windows binaries and source code packages are also\navailable from `Python Package Index`_.\n\nBinary packages for several Linux distributors are maintained by Open Source\ncommunity contributors. Query your Linux package manager tool\nfor `python-wavelets`, `python-pywt` or similar package name.\n\nDocumentation\n-------------\n\nDocumentation with detailed examples and links to more resources is available\nonline at http://www.pybytes.com/pywavelets/ and\nhttp://pywavelets.readthedocs.org.\n\nFor more usage examples see the `demo`_ directory in the source package.\n\nContributing\n------------\n\nPyWavelets started in 2006 as an academic project for a master thesis\non `Analysis and Classification of Medical Signals using Wavelet Transforms`\nand is maintained by its `original developer`_.\n\nAll contributions including bug reports, bug fixes, new feature implementations\nand documentation improvements are welcome.\n\nGo and fork on `GitHub`_ today!\n\nPython 3\n--------\n\nPython 3 development branch is at https://github.com/nigma/pywt/tree/py-3.\nCheck out the `changelog \u003chttps://github.com/nigma/pywt/commits/py-3\u003e`_ for\ninfo. Currently the code and examples are ported to work on Python 2.7 and 3.2\nfrom the same codebase.\n\nContact\n-------\n\nUse `GitHub Issues`_ or `PyWavelets discussions group`_ to post your\ncomments or questions.\n\nLicense\n-------\n\nPyWavelets is a free Open Source software released under the MIT license.\n\nCommercial Support\n------------------\n\nFor information on commercial support and development email me at en@ig.ma.\n\n\n.. _Cython: http://cython.org/\n.. _demo: https://github.com/nigma/pywt/tree/master/demo\n.. _GitHub: https://github.com/nigma/pywt\n.. _GitHub Issues: https://github.com/nigma/pywt/issues\n.. _in-development version: https://github.com/nigma/pywt/tarball/develop#egg=PyWavelets-dev\n.. _numpy: http://numpy.scipy.org/\n.. _original developer: http://en.ig.ma\n.. _Python: http://python.org/\n.. _Python Package Index: http://pypi.python.org/pypi/PyWavelets/\n.. _PyWavelets discussions group: http://groups.google.com/group/pywavelets\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnigma%2Fpywt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnigma%2Fpywt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnigma%2Fpywt/lists"}