Source-to-Image
Source-to-Image: A capable source-to-image builder, but not a sampler software solution. Ranked #26 of 26 in Sampler Software by our editors (6.0/10); pricing: Free plan; best for docker and OpenShift image build workflows.
At a glance
- Editor score6.0 / 10
- PricingFree plan
- Best forDocker and OpenShift image build workflows
- Free planYes
- Paid fromFree
- Facts checked20 Sep 2026
Where it wins
- Builds runnable images without requiring a Dockerfile
- Supports Git repositories, local source, and incremental builds
- Works across Windows, macOS, and Linux
Where it doesn't
- Does not provide sampler software functionality
- Focuses on Docker, Git, and OpenShift workflows
- Offers no AI features
Our verdict on Source-to-Image
Source-to-Image (S2I) is an open-source command-line toolkit for creating runnable container images from application source code. It is aimed at developers and teams working with Docker or OpenShift-oriented builder images who want to inject source code, run an assemble script, and commit the resulting image without writing a Dockerfile. S2I accepts Git repository URLs and local source directories, and it runs on Windows, macOS, and Linux.
Its main strength is the builder-image workflow. Builder images can define assemble, run, save-artifacts, and usage scripts, while incremental builds reuse saved build artifacts. Source files can be filtered through .s2iignore rules, and source-defined environment variables can be passed into the build. S2I also generates Dockerfiles from builder images and supports multi-stage workflows that separate compilation from runtime images. These capabilities make it a focused option for repeatable application-to-container workflows.
S2I fits a container build pipeline rather than a sampler software workflow. Its documented ecosystem centers on Docker, Git, and OpenShift, with support for secret mounts and a local-daemon build method. The project is actively maintained and has recent releases, but its scope remains narrow: it is designed to turn source code into runnable images, not to provide sampler creation or sample-management features. Choose Source-to-Image when the requirement is source-driven container image construction; choose a sampler-focused product when sampling functionality is the primary need.
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Source-to-Image pricing
Source-to-Image fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Plugin support | Not verified |
| Sample mapping | Not verified |
| Round-robin playback | Not verified |
| Maximum polyphony | Not verified |
| Granular engine | Not verified |
| Supported sample formats | Not verified |
| Standalone app | Not verified |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: Docker, Git, OpenShift |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 20 Sep 2026 |
Source-to-Image integrations
Source-to-Image lists 3 integrations on its own site.
- Docker
- Git
- OpenShift
Alternatives to Source-to-Image
- LinuxSamplerA flexible free sampler backend for users who value format and host compatibility.9.3
- TX16Wx Software SamplerA deep, format-friendly sampler for advanced users who work inside a compatible host.9.2
- Decent SamplerA capable free sampler for compatible libraries across desktop and iOS.9.1
See all Source-to-Image alternatives →
Also Ranked In
Source-to-Image is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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