dawdreamer
Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors
Science Score: 46.0%
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1 of 8 committers (12.5%) from academic institutions -
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Low similarity (8.2%) to scientific vocabulary
Keywords
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Repository
Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors
Basic Info
Statistics
- Stars: 1,026
- Watchers: 33
- Forks: 79
- Open Issues: 53
- Releases: 31
Topics
Metadata Files
README.md
```
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| | | | __ _ __ __ | | | | _ __ ___ __ _ _ __ ___ ___ _ __
| | | | / ` | \ \ /\ / / | | | | | '| / _ \ / _` | | ' ` _ \ / _ \ | '|
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- * Digital Audio Workstation with Python * * ```
DawDreamer
Read the introduction to DawDreamer, which was presented as a Late-Breaking Demo at the 2021 ISMIR Conference.
DawDreamer is an audio-processing Python framework supporting core DAW features and beyond: * Composing graphs of multi-channel audio processors * Audio playback * VST instruments and effects (with UI editing and state loading/saving) * FAUST effects and polyphonic instruments * Time-stretching and looping, optionally according to Ableton Live warp markers * Pitch-warping * Parameter automation at audio-rate and at pulses-per-quarter-note * Parameter automation saving in absolute audio-rate time * MIDI playback in absolute time and PPQN time * MIDI file export in absolute time * Rendering and saving multiple processors simultaneously * Support for the Faust Box and Signal APIs * Transpiling Faust code to JAX/Flax and other target languages (C++, Rust, Wasm, etc.) * Machine learning experiments with QDax * Multiprocessing support * Full support on macOS, Windows, Linux, Google Colab, and Ubuntu Dockerfile
DawDreamer's foundation is JUCE, with a user-friendly Python interface thanks to pybind11. DawDreamer evolved from an earlier VSTi audio "renderer", RenderMan.
Installation
macOS requirements: * 64-bit Python 3.10-3.12 * Apple Silicon or Intel CPU * macOS 11.0 or higher
Windows requirements: * x86_64 CPU * 64-bit Python 3.10-3.12
Linux requirements: * x86_64 CPU * 64-bit Python 3.10-3.12
Install with PyPI:
pip install dawdreamer
API Documentation
https://dirt.design/DawDreamer/
Basic Example
Using Faust, let's make a stereo sine-tone at 440 Hz and -6 dB. You can run this code as-is.
```python import dawdreamer as daw from scipy.io import wavfile SAMPLERATE = 44100 engine = daw.RenderEngine(SAMPLERATE, 512) # 512 block size faustprocessor = engine.makefaustprocessor("faust") faustprocessor.setdspstring( """ declare name "MySine"; freq = hslider("freq", 440, 0, 20000, 0); gain = hslider("vol[unit:dB]", 0, -120, 20, 0) : ba.db2linear; process = freq : os.osc : *gain <: si.bus(2); """ ) print(faustprocessor.getparametersdescription()) engine.loadgraph([ (faustprocessor, []) ]) faustprocessor.setparameter("/MySine/freq", 440.) # 440 Hz faustprocessor.setparameter("/MySine/vol", -6.) # -6 dB volume
engine.setbpm(120.) engine.render(4., beats=True) # render 4 beats. audio = engine.getaudio() # shaped (2, N samples) wavfile.write('sinedemo.wav', SAMPLERATE, audio.transpose())
Change settings and re-render
faustprocessor.setparameter("/MySine/freq", 880.) # 880 Hz engine.render(4., beats=True)
and so on...
```
Next, let's make a graph with a VST instrument and effect. This graph will be simple, but you can make more complicated ones.
```python import dawdreamer as daw from scipy.io import wavfile SAMPLERATE = 44100 INSTRUMENTPATH = "path/to/instrument.dll" EFFECT_PATH = "path/to/effect.dll"
engine = daw.RenderEngine(SAMPLERATE, 512) engine.setbpm(120.)
synth = engine.makepluginprocessor("synth", INSTRUMENTPATH) print('inputs:', synth.getnuminputchannels()) print('outputs:', synth.getnumoutputchannels()) print(synth.getparameters_description())
synth.set_parameter(7, .1234)
(MIDI note, velocity, start sec, duration sec)
synth.addmidinote(60, 100, 0.0, 2.)
effect = engine.makepluginprocessor("effect", EFFECT_PATH)
engine.loadgraph([ (synth, []), (effect, [synth.getname()]) # effect needs 2 channels, and "synth" provides those 2. ])
engine.render(4.) # render 4 seconds. audio = engine.getaudio() wavfile.write('synthdemo.wav', SAMPLERATE, audio.transpose()) synth.clearmidi()
add midi again, render again, and so on...
```
Please refer to the Wiki, examples, API documentation, and tests.
License
DawDreamer is licensed under GPLv3 to make it easier to comply with all of the dependent projects. If you use DawDreamer, you must obey the licenses of JUCE, pybind11, Libsamplerate, Rubber Band Library, Steinberg VST2/3, and FAUST.
Thanks to contributors to the original RenderMan
- fedden, RenderMan creator
- jgefele
- harritaylor
- cannoneyed
Owner
- Name: David Braun
- Login: DBraun
- Kind: user
- Company: DIRT Design
- Website: https://dirt.design
- Twitter: DoItRealTime
- Repositories: 37
- Profile: https://github.com/DBraun
Do It Real-Time | Audiovisual ML, Faust, TouchDesigner | alum @ccrma
GitHub Events
Total
- Issues event: 8
- Watch event: 137
- Issue comment event: 20
- Push event: 1
- Gollum event: 1
- Fork event: 13
Last Year
- Issues event: 8
- Watch event: 137
- Issue comment event: 20
- Push event: 1
- Gollum event: 1
- Fork event: 13
Committers
Last synced: 12 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| David Braun | e****l@e****m | 100 |
| David Braun | 2****n | 86 |
| Guillaume | g****d@g****m | 3 |
| imilas | a****i@u****a | 1 |
| dependabot[bot] | 4****] | 1 |
| auryd | 7****d | 1 |
| Saint | 5****t | 1 |
| Malek | 7****8 | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 105
- Total pull requests: 37
- Average time to close issues: 3 months
- Average time to close pull requests: 5 days
- Total issue authors: 55
- Total pull request authors: 7
- Average comments per issue: 3.61
- Average comments per pull request: 0.38
- Merged pull requests: 30
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 10
- Pull requests: 2
- Average time to close issues: 7 days
- Average time to close pull requests: 4 days
- Issue authors: 10
- Pull request authors: 2
- Average comments per issue: 2.4
- Average comments per pull request: 0.5
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- DBraun (26)
- turian (7)
- samuelbraun04 (5)
- AI-Guru (4)
- malekinho8 (3)
- Centauria (3)
- heqi201255 (3)
- GMPHL (2)
- RustoMCSpit (2)
- noyuzrad (2)
- music-lover99 (2)
- NoahdoRegoUO (1)
- gabyfle (1)
- woodshop (1)
- michael-jan (1)
Pull Request Authors
- DBraun (30)
- imilas (2)
- malekinho8 (2)
- dependabot[bot] (2)
- auryd (1)
- meisenzahl (1)
- sainttttt (1)
Top Labels
Issue Labels
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Packages
- Total packages: 3
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Total downloads:
- pypi 1,095 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 57
- Total maintainers: 1
proxy.golang.org: github.com/DBraun/DawDreamer
- Documentation: https://pkg.go.dev/github.com/DBraun/DawDreamer#section-documentation
- License: gpl-3.0
Rankings
proxy.golang.org: github.com/dbraun/dawdreamer
- Documentation: https://pkg.go.dev/github.com/dbraun/dawdreamer#section-documentation
- License: gpl-3.0
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Latest release: v0.8.3
published over 1 year ago
Rankings
pypi.org: dawdreamer
An audio-processing Python library supporting core DAW features
- Homepage: https://github.com/DBraun/DawDreamer
- Documentation: https://dirt.design/DawDreamer
- License: GNU General Public License v3 (GPLv3)
-
Latest release: 0.8.3
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- librosa >=0.8.1
- numpy >=1.21.2
- pytest >=6.2.4
- requests >=2.26.0
- scipy >=1.7.0
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