Projects sharing features with Labeler

Beehive is a self-hosted integration platform and event automation engine. It functions as a plugin-based workflow orchestrator that links independent service plugins to automate data movement between external APIs and hardware. The system acts as an IoT hardware controller for managing network-enabled sockets, smart lighting, and serial port devices via TTY or COM. It also serves as an HTTP webhook gateway, receiving incoming requests to trigger internal workflows and external notifications. Capability areas include event-driven workflow automation with filter-based routing and template-bas

Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep

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

Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts. The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer

rimraf is a Node.js recursive file deletion tool and cross-platform filesystem utility. It provides both a programmatic library and a command-line interface for removing files and directories and all of their contained contents across different operating systems. The utility supports glob-based file deletion, allowing the removal of items that match specific wildcard patterns rather than just literal paths. It also includes the ability to abort deletion processes mid-execution and apply custom predicate-based filtering to exclude specific files or folders. The project covers broad filesystem

Release-drafter is a GitHub Action workflow and automation engine designed to manage the software release lifecycle. It functions as a release notes automator, an automated changelog generator, and a semantic versioning calculator that aggregates merged pull requests into structured draft releases. The project distinguishes itself through event-driven execution that triggers updates based on repository activity. It features a semantic versioning calculator to determine the next version number based on merged change categories, and provides specialized management for both stable and prerelease

Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp

Argo is a cloud native CI/CD platform and Kubernetes workflow engine. It functions as a container pipeline orchestrator and job scheduler, managing multi-step sequences of containers as jobs using directed acyclic graphs within a cluster. The system acts as a progressive delivery controller, reducing release risk through automated Canary and Blue-Green deployment strategies. It provides declarative GitOps synchronization to mirror the state of a git repository directly into the cluster environment for continuous delivery automation. The platform covers a broad range of capabilities including

An action which adds reviewers to the pull request when the pull request is opened.

GitHub action to assign labels based on pull request change sizes

⚡️ Lint pull request name with commit lint. This is useful if you squash merge your pull requests ⚡️

A GitHub action to create a pull request for changes to your repository in the actions workspace

A Github Action to tag a repo on merge.

Verify that pull request titles start with a ticket ID

👍 GitHub Action for automatically approving GitHub pull requests

GitHub Action to automatically rebase PRs

GitHub action to automatically merge pull requests that are ready

Action to guard branches from merges when any of the latest check suites or commit statuses is failing.

Github action to print relevant stats about Pull Request reviewers

Github action to enforce Pull Request title conventions

GitHub Action that automatically merges your pull request!

A GitHub action to add labels to Pull Request based on matched file patterns