Mule Flow Viewer

Mule 4 flows as Studio draws them, from Azure DevOps, GitHub, GitLab or Bitbucket: branches, history, pull requests, checks.

Open a Mule 4 project's page on Azure DevOps, GitHub, GitLab or Bitbucket (a file, a branch or a pull request) and see its flows as Anypoint Studio draws them. Nothing to install: it reads the repository with the sign-in your browser already has (GitHub asks once for a read-only token). - Every flow, scope, router and error handler, with Studio's icons. Click a component for its settings, resolved properties and DataWeave. - History: any commit, branch or pull request as a visual diff. Changed, added and removed elements are marked on the canvas, and conflicts in a merge preview are flagged. - Branches side by side: see whether a change has reached qa, preprod or main. - Element history and blame: who changed an element, when, and on which branches it differs. - DataWeave: run any script with inputs from your MUnit tests, compare old and new outputs, or write your own in the Playground. It all runs on your computer. - Shared libraries: flows your project calls from a common library, read from the library's own repository at the version your pom.xml uses, and which apps call each of a library's flows. - Checks: missing flows and configurations, secrets in plain text, loggers that write whole payloads, entry flows without error handling, unused flows and properties. - Trace: a flow's every step as it runs, into the flows it calls, with where each variable is set and read. - Impact: the endpoints, schedules and listeners a pull request reaches, the properties it adds and the environments missing them. - Overview: every endpoint with the errors it can return and the HTTP status for each, the systems the app calls, properties side by side per environment, and which apps use old versions of a shared library. - Copy or save any flow as an image (PNG or SVG) for documents. - Search all branches, release notes as Markdown, and secure:: properties decrypted with your key, which never leaves the tab. Optional: the free local helper (Python 3.8+) runs DataWeave scripts on your computer, and opens repositories on self-hosted servers from your clones. Your code goes only between your browser and your code host.