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Sample Dicer vs Source-to-Image

Sample Dicer

sampledicer.pro

Source-to-Image

github.com

Side by side

FigureSample DicerSource-to-Image
Price fromFreeFree
Free planYesYes
Free trial——
Open source—Yes
WindowsYesYes
macOSYesYes
Linux—Yes
Self-hosted—Yes
Plans published11
Spec score · Sampler Software7.3 (#19)8.2 (#6)
System requirementsThe maker lists macOS 26.0 or later and Windows 10 or 11 on a 64-bit system with a VST3-compatible host.The README lists Docker 1.6 or newer, Go 1.7.1 or newer and optional Git as dependencies.

Plans

Sample Dicer

  • Free indie useFree

Sample Dicer pricing →

Source-to-Image

  • Source-to-ImageFree

Source-to-Image pricing →

In their own words

Sample Dicer

Sample Dicer is a four-layer one-shot sampler that turns raw audio into playable sounds that evolve. Each drag-and-drop layer has waveform, volume, pitch, start, shift, and fade controls. Users can randomize samples and parameters together or separately, lock layers, and use Back to restore the previous roll. Performance tools include per-trigger evolution, Round Robin, Burst repeat, chromatic key tracking, and up to 16 voices. The interface provides twenty colour themes, scalable presets, and an optional Glitch Mode that changes sound and visuals. It is available as AU and VST3 plug-ins and as a standalone application. The maker describes the AU version for Logic Pro and other AU hosts. Listed uses include music production, sound design, live performance, sample-library creation, rapid prototyping, game development, film, video, and podcasts. The free indie-use plan costs nothing, subject to company revenue below USD 1,000,000 and project production and development budget below USD 250,000. Eligible users can publish and monetize music, games, films, and sound effects without royalties or attribution.

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Source-to-Image

Source-to-Image is a free, Apache-2.0 toolkit for building reproducible container images from source code. It places source in a builder image, lets that container prepare the application, and outputs a ready-to-run image. A documented workflow can build from a Git repository without a Dockerfile. Builder images may provide assemble and run scripts, plus optional scripts for saving artifacts and explaining usage. Compatible builders can reuse artifacts from an earlier output when incremental settings and scripts are supplied. A .s2iignore file filters source files and directories, while .s2i/environment defines build variables that also appear in the output image. S2I can use an OnBuild strategy with images containing Dockerfile ONBUILD instructions. Examples cover Docker, OpenShift, UBI, Ruby, and WildFly. It runs on Linux, macOS, and Windows, with Docker 1.6+ and Go 1.7.1+ listed as dependencies.

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