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mirror of https://github.com/cookiengineer/audacity synced 2025-11-21 16:37:12 +01:00
Dmitry Vedenko cf328b9d87 Add a framework to generate offline dependencies
`prepare_offline_dependencies.sh` will generate a tarball containing:

* Files required for PIP to install Conan
* Conan download cache

The resulting tarball content depends on CMake flags passed down
to the script.

`build_package.sh` demonstrates how to use the offline dependecies
to build Audacity. The script requires the exact CMake options that were
provided to `prepare_offline_dependencies.sh`

`build_packages.sh` allows validating the build process for different
Linux distros. It uses Docker to:

* Generate the dependencies tarball.
* Execute an offline build using `build_package.sh`.
* Generate distro specific packages, offline as well.
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Audacity

Audacity is an easy-to-use, multi-track audio editor and recorder for Windows, Mac OS X, GNU/Linux and other operating systems. Audacity is open source software licensed under GPL, version 2 or later.

  • Recording from any real, or virtual audio device that is available to the host system.
  • Export / Import a wide range of audio formats, extendible with FFmpeg.
  • High quality using 32-bit float audio processing.
  • Plug-ins Support for multiple audio plug-in formats, including VST, LV2, AU.
  • Macros for chaining commands and batch processing.
  • Scripting in Python, Perl, or any language that supports named pipes.
  • Nyquist Very powerful built-in scripting language that may also be used to create plug-ins.
  • Editing multi-track editing with sample accuracy and arbitrary sample rates.
  • Accessibility for VI users.
  • Analysis and visualization tools to analyze audio, or other signal data.

Getting Started

For end users, the latest Windows and macOS release version of Audacity is available from the Audacity website. Help with using Audacity is available from the Audacity Forum.

Build instructions are available here.

More information for developers is available from the Audacity Wiki.

Description
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Readme 341 MiB
Languages
C++ 56.3%
C 34.4%
Common Lisp 4.3%
CMake 1.6%
Python 1%
Other 2.2%