Apps Like DigiStix 2 AUv3 Plugin for iPhone and iPad
Sample drumkits and layer pads
2 allows users to create drum kits with up to 64 samples per kit. Each pad supports 5 layers. Users can arrange samples in a 4x4 pad layout with 4 sample banks. Multi-sample layers can be controlled individually.
DigiStix 2 AUv3 Plugin screenshots
Ranked alternatives
Showing 641–660 of 1,000 ranked alternatives.


Launch Pad DJ
Sergejs Vilipsons
Create mix and play music
The app allows users to perform music tracks without configuration. Users can create, mix, and play music on the fly using touch pads.


iRig BlueBoard
IK Multimedia US, LLC
Control MIDI apps wirelessly from afar.
The app facilitates communication between the iRig BlueBoard controller and Core MIDI apps. It allows users to set up the hardware unit, configure its banks, and manage MIDI parameters for footswitches.


Pad MIDI
Thirteen32 Pty Ltd
Play notes and control synth parameters
Turn iPhone or iPad into pads and keyboard. Connect via Bluetooth or USB. Assign and name 16 pads. Use full 88-key piano. Select channels and velocity. Control CC and program changes. View message logs. Requires external synth or plugin.


Cotracks
Futucraft Oy
Collaborative music studio for teamwork.
The app provides a collaborative music studio for teamwork on a single iPad. Users can create multiple layers of loops and phrases using multiple instruments, maintaining creative flow and capturing ideas.

midiDREAMs
Arthur Kerns
Sequence patterns with 16 sliders and 64
MIDI sequencer plugin for sequencing synths and MIDI hardware. Features 16 virtual sliders, 64 steps per pattern, and supports AUv3 hosts like AUM and Cubasis. Includes midiDRUMs for grid-based drum programming.




Echo Pad - Delay FX Processor
Holderness Media
Playable flexible multi effects processor.
The app offers a multi-effects processor with a range of delay sounds and other effects. It is compatible with Audiobus 3, Inter-App Audio, and MIDI control for synced delays.







How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.