Pipedash is a native desktop and web application built with Rust and Tauri that consolidates visibility across multiple CI/CD platforms. It solves the problem of fragmented pipeline monitoring by pulling real-time status, history, and execution details from GitHub Actions, GitLab CI, Jenkins, Buildkite, Tekton CD, ArgoCD, and Bitbucket Pipelines into a single interface. Designed for DevOps engineers, SREs, and engineering teams managing hybrid or multi-provider CI/CD environments, Pipedash eliminates the need to toggle between tabs, manually refresh dashboards, or juggle different APIs. All data processing and storage occur locally on your machine, ensuring privacy without requiring cloud dependencies.
What You Get
- Unified CI/CD dashboard - View pipeline statuses from GitHub Actions, GitLab CI, Jenkins, Buildkite, Tekton CD, ArgoCD, and Bitbucket Pipelines in one consolidated view with real-time updates.
- Cross-platform support - Run Pipedash as a native desktop app (macOS, Windows, Linux) or via Docker/web interface, with identical functionality across all platforms.
- Token-secure credential storage - Store API tokens using system keyring (macOS Keychain, Windows Credential Manager, Linux Secret Service) or AES-256-GCM encrypted SQLite/PostgreSQL with Argon2id key derivation.
- Trigger and re-run workflows - Initiate builds or re-run previous executions with dynamic form inputs pulled from each provider’s API (e.g., GitHub Actions workflow inputs, Jenkins build parameters).
- Cancel running builds - Stop active pipeline executions directly from the Pipedash UI without navigating to each provider’s dashboard.
- Multi-instance provider support - Add multiple instances of the same CI/CD platform (e.g., two GitHub organizations or two Jenkins servers) with separate credentials.
- Configurable polling intervals - Set per-provider refresh rates to respect API rate limits while maintaining timely updates.
- Encrypted data persistence - Pipeline history and credentials are stored in SQLite (default) or PostgreSQL with end-to-end AES-256-GCM encryption.
- Extensible plugin system - Add new CI/CD providers by implementing the Plugin trait in Rust; existing plugins for 7 platforms serve as templates.
- API server with auth - Deploy via Docker to expose a REST API secured by PIPEDASH_VAULT_PASSWORD; requires Bearer token header for all requests.
Common Use Cases
- Building a multi-tenant SaaS dashboard with real-time analytics - Engineering teams managing pipelines across multiple customer-specific GitHub orgs and GitLab instances use Pipedash to monitor deployment health and rollout status in a single pane.
- Migrating from Jenkins to Tekton with hybrid monitoring - Organizations transitioning legacy Jenkins workflows to modern Tekton pipelines use Pipedash to track both systems simultaneously during the transition phase.
- Problem: Juggling 5 CI/CD dashboards → Solution: One Pipedash window - DevOps engineers waste 15+ minutes daily switching between GitHub, GitLab, Jenkins, and Buildkite tabs; Pipedash reduces this to one click by unifying all statuses.
- Team workflow for SREs managing microservices - SRE teams monitoring 50+ services across Kubernetes (Tekton), cloud CI (GitHub Actions), and legacy systems (Jenkins) rely on Pipedash for incident response and deployment verification.
Under The Hood
Pipedash is a cross-platform desktop application designed for managing data pipelines, combining a Rust-powered backend with a modern TypeScript/React frontend. It leverages Tauri to deliver native desktop functionality while emphasizing extensibility, developer experience, and robust error handling. The project adopts a monorepo structure that integrates both web and desktop components, enabling a unified development approach.
Architecture
This project follows a layered architecture with clear separation between frontend and backend modules. It uses modular composition and dependency injection patterns to ensure maintainability and scalability.
- A monorepo structure enables unified management of web and desktop application components
- The backend is built using Rust crates that encapsulate core domain logic and infrastructure concerns
- Frontend modules are organized with well-defined responsibilities and component-based composition
- Error boundaries and route-level failure handling are implemented across both frontend and backend layers
Tech Stack
Built with a modern tech stack that blends Rust for performance and TypeScript/React for UI, the project integrates native desktop capabilities through Tauri.
- Rust is used for backend logic and infrastructure, ensuring high performance and memory safety
- TypeScript and React form the frontend with Mantine UI components and Monaco Editor for code editing
- Vite, SWC, and PostCSS are used for fast builds and styling, while Tauri CLI handles desktop packaging
- ESLint, TypeScript ESLint, and Knip support code quality and dependency management in the development workflow
Code Quality
The codebase shows a mixed quality with efforts toward structured error handling and modular organization, though some inconsistencies and technical debt indicators are present.
- Extensive use of try/catch blocks in Rust modules suggests a focus on resilience, though error propagation is not fully standardized
- Frontend components show variation in styling and structure, including inline styles and custom implementations that reduce consistency
- Lack of automated test files raises concerns about maintainability and reliability in the long term
- Multiple implementations of error boundaries and duplicated UI components point to increasing complexity and redundancy
What Makes It Unique
Pipedash stands out through its innovative use of modular architecture and dynamic error handling tailored for developer experience.
- Modular design allows independent scaling and maintenance of Rust backend and TypeScript frontend components
- Custom React error boundaries provide granular failure handling at feature and route levels, improving resilience
- Plugin adapter system enables extensibility across diverse data sources and workflows
- Strong emphasis on developer experience through detailed error fallbacks and visibility of technical stack in development mode