# Local workflow runners

> AI-ranked search results for `local workflow runners` on awesome-repositories.com — ordered by an LLM for relevance, best match first. 113 total matches; showing the top 8.

Explore on the web: https://awesome-repositories.com/q/local-workflow-runners

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/local-workflow-runners).**

## Results

- [concourse/concourse](https://awesome-repositories.com/repository/concourse-concourse.md) (7,845 ⭐) — Concourse is a container-based continuous integration and delivery platform that functions as a distributed build system. It operates as a declarative pipeline orchestrator, using a central controller and multiple worker nodes to execute concurrent tasks within isolated containers.

The system distinguishes itself by executing every build step in a separate container to ensure environment consistency and by defining software delivery sequences through portable, versionable configuration files. It provides a web-based pipeline visualizer to display the real-time status and progress of automated
- [ovh/cds](https://awesome-repositories.com/repository/ovh-cds.md) (4,825 ⭐) — CDS is a containerized continuous delivery platform and DevOps automation engine designed to orchestrate software build and deployment pipelines from version control to production. It functions as a pipeline-as-code framework, allowing deployment sequences and environment configurations to be defined via version-controlled files and reusable templates.

The platform distinguishes itself through enterprise-scale capabilities, such as dynamically spawning worker nodes across clusters to handle high volumes of concurrent builds and the ability to provision ephemeral containerized services, like d
- [nektos/act](https://awesome-repositories.com/repository/nektos-act.md) (70,801 ⭐) — This tool is a command-line runner that executes automation workflows locally within isolated container environments. By parsing workflow definition files and translating them into executable shell scripts, it allows developers to validate pipeline logic and configuration changes directly on their machines before committing code to a remote repository.

The runner distinguishes itself by providing a simulation engine that mimics remote CI triggers and event payloads, enabling the testing of complex conditional logic without requiring cloud infrastructure. It supports granular control over the
- [jenkinsci/jenkins](https://awesome-repositories.com/repository/jenkinsci-jenkins.md) (25,452 ⭐) — Jenkins is a CI/CD automation server and build automation tool used to orchestrate software build, test, and deployment pipelines. It functions as a pipeline orchestration engine and continuous delivery platform that manages the movement of software from source control to production environments.

The project is built as a plugin-based automation framework, utilizing an extensibility model that integrates third-party tools and custom scripts to expand its capabilities. This architecture allows for the integration of specialized automation workflows and custom tool support through a plugin syst
- [kestra-io/kestra](https://awesome-repositories.com/repository/kestra-io-kestra.md) (27,073 ⭐) — Kestra is a declarative workflow orchestrator designed to manage complex task dependencies and automated processes through versioned configuration files. It functions as a distributed platform that decouples task scheduling from execution by offloading computational workloads to a fleet of worker nodes. The system uses a reactive, event-driven engine to initiate workflows automatically in response to external signals, webhooks, schedules, or file system changes.

The platform distinguishes itself through a modular plugin architecture that allows for the integration of custom tasks and external
- [dagster-io/dagster](https://awesome-repositories.com/repository/dagster-io-dagster.md) (14,974 ⭐) — Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative modeling and version-controlled code. It functions as a workflow engine that treats data assets as first-class primitives, allowing teams to define, schedule, and monitor complex pipelines while maintaining clear visibility into lineage, dependencies, and data quality.

The platform distinguishes itself by using a code-as-configuration framework that enables standard software engineering practices, such as unit testing and local mocking, to be applied directly to data workflows.
- [jenkinsci/jenkinsfile-runner](https://awesome-repositories.com/repository/jenkinsci-jenkinsfile-runner.md) (1,202 ⭐) — Jenkinsfile runner is a continuous integration engine that executes declarative workflows and pipeline scripts directly from the command line or container environments without requiring a persistent master server. It provides terminal-based execution tools for running, testing, and linting pipeline definitions locally, supporting build parameter passing, interactive shell sessions, and source control checkout configurations with authentication for private repositories.

The system supports declarative instance configuration through mounted YAML files, automatic dependency resolution, and on-de
- [cake-build/cake](https://awesome-repositories.com/repository/cake-build-cake.md) (4,179 ⭐) — Cake is a cross-platform build automation system and scripting framework that allows users to define software build pipelines using C# scripts. It functions as a CI/CD pipeline orchestrator and build runner, providing a strongly-typed domain-specific language to simplify the orchestration of compilation, testing, and packaging processes across Windows, Linux, and macOS.

The system ensures reproducible build environments by pinning the versions of build tools, modules, and dependencies. It distinguishes itself by enabling a C# scripting workflow with full IDE support, including autocomplete, s