
DORA metrics
Deployment frequency, lead time, change failure rate, and MTTR in one view.
Workflow Metrics helps engineering teams monitor run reliability, DORA metrics, build and billable minutes, and per-workflow performance. Turn CI data into actionable improvements with AI-powered optimization suggestions.
Workflow Metrics dashboard — connect your GitHub repo to see live data.
GitHub
Connect a repository and start analyzing GitHub Actions runs in minutes. Track reliability, duration, and cost signals in one place for faster CI decisions.
Workflow Metrics ingests workflow runs, jobs, and step-level timing from GitHub Actions, then surfaces trends and outliers across repositories and workflows so teams can improve speed and reliability.
Workflow analytics loop
Capabilities
From repository overview to workflow-level deep dives, get the metrics needed to improve CI speed, reliability, and cost.

Deployment frequency, lead time, change failure rate, and MTTR in one view.

Track raw and estimated billable CI minutes to understand cost impact.

P50/P95 duration, skip rate, and cost per workflow at a glance.

Visualize trigger-to-job execution order and dependency paths.

Drill into per-job timing and slowest steps from recent runs.

Mistral-powered tips for caching, parallelization, and cost tuning.
Metrics that matter
Follow success rate, duration trends, DORA metrics, build and billable minutes, and skip patterns in one view. Detect expensive or unstable workflows early and improve delivery confidence sprint after sprint.
Open Source
Workflow Metrics is free and open source under the MIT License. Self-host it, contribute improvements, or fork it to fit your CI workflow.
Start now
Sign in with GitHub, connect your repositories, and use workflow-level analytics plus AI suggestions to ship faster with fewer CI surprises.