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The Open Workflow Specification is an open-source, vendor-neutral way to describe workflows: ordered tasks, how data moves between them, and optional behavior such as inputs, outputs, schedules, and timeouts. It defines a workflow format, not a guarantee that every runtime supports every feature. If you are evaluating it, read the DSL and then verify the target runtime’s feature support and version.
What is the Open Workflow Specification?
Open Workflow Specification (OWS) is a domain-specific language (DSL) and ecosystem for describing and executing workflows. A workflow is a blueprint made up of tasks. By default, tasks run in the order in which they are declared. The project describes the specification as community-driven and part of the Cloud Native Computing Foundation (CNCF) ecosystem; the project says it was approved as a CNCF Cloud Native Sandbox project on July 14, 2020. That historical status is not, by itself, evidence of current adoption or production maturity. Project overview
The format is intended to describe orchestration without tying the workflow document to one vendor. A runtime still has to interpret and execute that document, so portability depends on the DSL features and integrations supported by each implementation.
What does a workflow document contain?
A minimal workflow requires two top-level sections: document and do. The document section identifies the DSL version, namespace, workflow name, and semantic version. The do section holds the task sequence. A deliberately small illustrative outline is:
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document:
dsl: '1.0.3'
namespace: example
name: sample
version: '1.0.0'
do:
- firstTask:
set:
value: exampleThis outline illustrates the structure, not a complete implementation-ready workflow. Check the current schema and the runtime’s supported DSL version before using it. The schema identifies itself as the Open Workflow DSL schema and is versioned 1.0.3 in the reviewed reference. Workflow schema
Optional top-level sections can define workflow input, reusable components, timeouts, output, schedules, and expression evaluation. Documentation describes workflows that can start from a request, a schedule, or correlation-based events. Which of these options is usable depends on the implementation.
How do tasks and data flow work?
The DSL describes more than a linear list of calls. Its reference covers service and function calls, sequential composition, concurrent branches, event actions, scripts and processes, value-setting tasks, switches, error handling, and waiting. It also includes HTTP and OpenAPI call forms and other integration types. These are constructs in the specification; confirm the available task types and their behavior in the runtime you plan to use. DSL Reference
The documented data path shows where a workflow can validate and reshape information as it runs:
- Workflow input: raw input may be validated and transformed before tasks begin.
- Task input: an individual task may validate or transform the data it receives.
- Task output: task results may be transformed and validated, then exported into workflow context.
- Next task: the transformed output from one task becomes input to the next task.
- Workflow output: the final result may be transformed before it is returned or stored.
This describes the specification’s data-handling model, not a promise that every runtime implements each stage. DSL concepts and data flow
What languages can script tasks use?
The DSL Reference lists JavaScript ES2024 and Python 3.13.x for script tasks and notes that supported versions can evolve. Treat these as version-sensitive reference information, not a guarantee that a particular runtime bundles either interpreter. The reference recommends using container processes when a different language version is needed. Check the current reference and your runtime’s documentation for actual availability. DSL Reference
What tooling and implementation status are listed?
The project overview lists a Visual Studio Code extension and a Go SDK alongside the DSL, runtimes, conformance testing, documentation, examples, and other ecosystem resources. The Go SDK repository’s status table reports the following capabilities for that SDK:
| Go SDK capability | Status shown in the repository |
|---|---|
| JSON and YAML parsing | Implemented |
| Programmatic workflow building | Implemented |
| Schema validation | Implemented |
| Integrity validation | Not implemented |
| SVG workflow diagram generation | Not implemented |
| Specification implementation | Partial |
These statuses describe the Go SDK repository, not every OWS SDK or runtime. Check the repository for changes before depending on a capability. Go SDK repository and status
What should you verify before adopting it?
Do not infer complete portability from a shared workflow format. Compare the actual runtime and SDK versions you intend to use, and verify the features your workflow requires. A practical review should include:
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- DSL version: whether the runtime accepts the version named in your workflow document.
- Task support: whether required call types, branching, concurrency, events, error handling, and waiting are implemented.
- Data handling: which input/output transformations, validation stages, context behavior, and expressions are supported.
- Execution environment: which script interpreters and language versions are available, and whether external processes or containers are needed.
- Tooling and conformance: whether parsing, schema checks, integrity checks, diagramming, and conformance testing cover your use case.
- Version compatibility: how DSL, runtime, and SDK releases relate, and what migration work a version change requires.
The official Go SDK 4.0.0 release announcement gives the module path github.com/open-workflow-specification/sdk-go/v4 and notes that error type URIs now use the open-workflow-specification.org domain. For a v3-to-v4 migration, it calls out updating imports and any references to the old error type URIs. Because release details can change, consult the announcement and current repository before upgrading. Go SDK 4.0.0 release announcement
When is Open Workflow Specification a fit?
OWS is worth evaluating when a team wants to describe orchestration in a structured workflow document and values a vendor-neutral format. The key decision is not only whether the DSL can express the workflow, but whether the chosen runtime implements the constructs, data behavior, integrations, and tooling the team needs.
The available project information does not establish a verified head-to-head advantage over other workflow standards or products. Compare alternatives against your own requirements for portability, task and event constructs, integrations, data and expression handling, implementation maturity, and version migration.
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