Sample Dicer vs Source-to-Image
Sample Dicer
sampledicer.proSource-to-Image
github.comSide by side
| Figure | Sample Dicer | Source-to-Image |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Sampler Software | 7.3 (#19) | 8.2 (#6) |
| System requirements | The 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
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.
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.