Search Results for "python-ldap"
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Showing 9 open source projects for "python-ldap"
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DarkAudacity
A customized version of Audacity
A free sound editor, DarkAudacity is the well known Audacity sound editor now with a darker more modern theme - and a few small tweaks. The audio engine underneath is the same audio engine. The same code powers it. Like Audacity it is completely free. It's not a cut down trial evaluation version. You can record and play sounds, edit sounds, apply audio effects and save what you create for ringtones, podcasts and more. DarkAudacity is Open Source, free for you to download and use on your... -
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VocalEasel is a simple lead sheet editor and music rehearsal tool designed for the needs of Jazz vocalists, using LilyPond to produce printable lead sheets and MMA (Musical Midi Accompaniment) to produce MIDI accompaniments.
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Command line application (and eventually GUI) for removing specific tags from ID3 v1 and v2 headers. Built on top of id3lib, so future id3 revisions will always be supported.
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Aldrin is an open source modular music sequencer/tracker for the GNU/Linux operating system. Aldrin is currently in beta stage and fully functional. Feel free to try and use it.
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Nusq is a cross-platform modular music sequencer, intended to be sufficiently expandable, flexible and configurable for the technically-minded musician while still being accessible to the rest of us.
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Noozy is an advance digital cross-platform music player mastered by Noozxoide sound processor its own. On this new baked 3ZS version many improved from the previous...
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libtagedit provides a C++ and python interface to music file tag editing which should be as easy as possible. It has a plugin structure and is easily extendable. Currently, it includes plugins for MP3 (ID3v2 r/w and ID3v1 reading), OGG and FLAC files.
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MediaStation - the Media Application FrameWork for openBeOS - MediaStation has a strong focus on making openBeOS the No.1 solution for multimedia professionals - MediaStation builds up a leading development environment based on the MIT license\n
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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