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Showing 7 open source projects for "python project"
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ToogleBox: Simplify, Automate and Improve Google Workspace FunctionalitiesToogleBox was created as a solution to address the challenges faced by Google Workspace Super Admins. We developed a premium and secure Software-as-a-Service (SaaS) product completely based on specific customer needs. ToogleBox automates most of the manual processes when working with Google Workspace functionalities and includes additional features to improve the administrator experience.
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All-in-One Mental Health EHREnsora Health’s Mental Health EHR is designed for mental health professionals, therapists, and practice managers looking for a secure, user-friendly solution to streamline administrative tasks and improve efficiency in their practice management
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MP3FileStructureAnalyser
Analyse a MP3 file structure (ID3 and frame headers) into JSON objects
The project contains a small command line tool (written in Python) that analyses the file structure (ID3 and frame headers) of MP3 files and projects the structure into a JSON object. -
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LAME (Lame Aint an MP3 Encoder)
A high quality MP3 encoder
LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only! -
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This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
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Moodtrack contains Python classes for music-emotion analysis and assembly, enabling users to build soundtracks based on emotion and timing. USERS: Music Supervisors/Composers/Producers, Game Audio Developers, Content Providers. FILM DEMO: moodtrack.tv
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Empower Your Workforce and Digitize Your Shop FloorEasily connect to most tools and equipment on the shop floor, enabling efficient data collection and boosting productivity with vital insights. Turn information into action to generate new ideas and better processes.
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This project is a collection of little programs in Python which use acoustics for various scientific fields.
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