{ "info": { "author": "Guillaume Pellerin, Paul Brossier, Thomas Fillon, Riccardo Zaccarelli, Olivier Guilyardi", "author_email": "yomguy@parisson.com, piem@piem.org, thomas@parisson.com, riccardo.zaccarelli@gmail.com, olivier@samalyse.com", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "Programming Language :: JavaScript", "Programming Language :: Python", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Multimedia :: Sound/Audio", "Topic :: Multimedia :: Sound/Audio :: Analysis", "Topic :: Multimedia :: Sound/Audio :: Conversion", "Topic :: Multimedia :: Sound/Audio :: Players", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "==================================================\nTimeSide : audio processing framework for the web\n==================================================\n\n|version| |downloads| |travis_master| |coveralls_master|\n\n.. |travis_master| image:: https://travis-ci.org/Parisson/TimeSide.svg\n :target: https://travis-ci.org/Parisson/TimeSide/\n\n.. |coveralls_master| image:: https://coveralls.io/repos/Parisson/TimeSide/badge.png?branch=master\n :target: https://coveralls.io/r/Parisson/TimeSide?branch=master\n\n.. |version| image:: https://img.shields.io/pypi/v/timeside.svg\n :target: https://pypi.python.org/pypi/TimeSide/\n :alt: Version\n\n.. |downloads| image:: https://img.shields.io/pypi/dm/timeside.svg\n :target: https://pypi.python.org/pypi/TimeSide/\n :alt: Downloads\n\n\nTimeSide is a python framework enabling low and high level audio analysis, imaging, transcoding, streaming and labelling. Its high-level API is designed to enable complex processing on very large datasets of any audio or video assets with a plug-in architecture, a secure scalable backend and an extensible dynamic web frontend.\n\n\nUse cases\n==========\n\n* Scaled audio computing (filtering, machine learning, etc)\n* Web audio visualization\n* Audio process prototyping\n* Realtime and on-demand transcoding and streaming over the web\n* Automatic segmentation and labelling synchronized with audio events\n\n\nGoals\n=====\n\n* **Do** asynchronous and fast audio processing with Python,\n* **Decode** audio frames from **any** audio or video media format into numpy arrays,\n* **Analyze** audio content with some state-of-the-art audio feature extraction libraries like Aubio, Yaafe and VAMP as well as some pure python processors\n* **Visualize** sounds with various fancy waveforms, spectrograms and other cool graphers,\n* **Transcode** audio data in various media formats and stream them through web apps,\n* **Serialize** feature analysis data through various portable formats,\n* **Playback** and **interact** **on demand** through a smart high-level HTML5 extensible player,\n* **Index**, **tag** and **annotate** audio archives with semantic metadata (see `Telemeta `__ which embed TimeSide).\n* **Deploy** and **scale** your own audio processing engine through any infrastructure\n\n\nFunding and support\n===================\n\nTo fund the project and continue our fast development process, we need your explicit support. So if you use TimeSide in production or even in development, please let us know:\n\n* star or fork the project on `GitHub `_\n* tweet something to `@parisson_studio `_ or `@yomguy `_\n* drop us an email \n\nThanks for your help!\n\nNews\n=====\n\n0.8\n---\n\n* Add *Docker* support for instant installation. This allows to run TimeSide now on *any* OS platform!\n* Add `Jupyter Notebook `_ support for easy prototyping, experimenting and sharing (see the examples in the doc).\n* Add an experimental web server and REST API based on Django REST Framework, Redis and Celery. This now provides a real web audio processing server with high scaling capabilities thanks to Docker (clustering) and Celery (multiprocessing).\n* Start the development of a new player interface thanks to Angular and WavesJS.\n* Huge cleanup of JS files. Please now use bower to get all JS dependencies as `listed in settings `_.\n* Add metadata export to Elan annotation files.\n* Fix and improve some data structures in analyzer result containers.\n* Many various bugfixes.\n\n0.7.1\n-----\n\n* fix django version to 1.6.10 (sync with Telemeta 1.5)\n\n0.7\n----\n\n* Code refactoring:\n\n - Create a new module `timeside.plugins` and move processors therein: timeside.plugins.decoder,analyzer, timeside.plugins.encoder, timeside.plugins.fx\n - WARNING: to properly manage the namespace packages structure, the TimeSide main module is now `timeside.core` and code should now be initialized with `import timeside.core`\n - `timeside.plugins` is now a `namespace package `_ enabling external plugins to be **automatically** plugged into TimeSide (see for example `timeside-diadems `_). This now makes TimeSide a **real** plugin host, yeah!\n - A dummy timeside plugin will soon be provided for easy development start.\n\n* Move all analyzers developped by the partners of the Diadems project to a new repository: `timeside-diadems `_\n* Many fixes for a better processing by `Travis-CI `_\n* Add a dox file to test the docker building continously on `various distributions `_\n\nFor older news, please visit: https://github.com/Parisson/TimeSide/blob/master/NEWS.rst\n\nDocumentation\n==============\n\n* General documentation : http://files.parisson.com/timeside/doc/\n* Tutorials : http://files.parisson.com/timeside/doc/tutorials/index.html\n* API : http://files.parisson.com/timeside/doc/api/index.html\n* Publications : https://github.com/Parisson/Telemeta-doc\n* Some online notebooks : http://mybinder.org/repo/thomasfillon/Timeside-demos\n* Player / UI wiki : https://github.com/Parisson/TimeSide/wiki/Ui-Guide\n* A player example : http://archives.crem-cnrs.fr/archives/items/CNRSMH_E_2004_017_001_01/\n\nInstall\n=======\n\nThanks to Docker, TimeSide is now fully available for every platform as a docker image ready to work. The image includes all the necessary applications, modules and volumes to start your project in a few seconds.\n\nJust install, `Docker engine `_ then pull the TimeSide image::\n\n docker pull parisson/timeside:latest\n\nThat's it! Now please go to the documentation to see how to use it.\n\nFor advanced usage (webserver, notebook, etc), you will also need `Git `_ and `docker-compose `_.\n\n.. note :: If you need to user TimeSide outside a docker image please refer to the rules of the Dockerfile which is based on a Debian stable system. But we do not provide any kind of free support in this usercase anymore (the dependency list is now huge). To get commercial support in more various usecases, please reach the Parisson dev team.\n\nSponsors and Partners\n=====================\n\n* `Parisson `_\n* `CNRS `_ (National Center of Science Research, France)\n* `Huma-Num `_ (big data equipment for digital humanities, ex TGE Adonis)\n* `CREM `_ (french National Center of Ethomusicology Research, France)\n* `Universit\u00e9 Pierre et Marie Curie `_ (UPMC Paris, France)\n* `ANR `_ (CONTINT 2012 project : DIADEMS)\n* `MNHN `_ : Museum National d'Histoire Naturelle (Paris, France)\n\n\nRelated projects\n=================\n\n* `Telemeta `__ : open web audio platform\n* `Sound archives `_ of the CNRS, CREM and the \"Mus\u00e9e de l'Homme\" in Paris, France.\n* The `DIADEMS project `_ sponsored by the ANR.\n\nCopyrights\n==========\n\n* Copyright (c) 2006, 2016 Parisson Sarl\n* Copyright (c) 2006, 2016 Guillaume Pellerin\n* Copyright (c) 2013, 2016 Thomas Fillon\n* Copyright (c) 2010, 2014 Paul Brossier\n* Copyright (c) 2013, 2014 Maxime Lecoz\n* Copyright (c) 2013, 2014 David Doukhan\n* Copyright (c) 2006, 2010 Olivier Guilyardi\n\n\nLicense\n=======\n\nTimeSide is free software: you can redistribute it and/or modify\nit under the terms of the GNU Affero General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version.\n\nTimeSide is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. 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