Pipeline Health Score Calculator
Generate an overall health score for a CI/CD pipeline from speed, stability and success.
About Pipeline Health Score Calculator
Pipeline health combines three dimensions: success rate (40% weight — do builds pass?), speed (30% — are they fast enough?), and stability (30% — are results deterministic?). Score = successRate×0.4 + speedScore×0.3 + (100−flakyRate)×0.3.
Formula
Health Score
score = successRate × 0.4 + speedScore × 0.3 + stabilityScore × 0.3
- successRate
- Build success percentage
- speedScore
- target/actual × 100, capped at 100
- stabilityScore
- 100 minus flaky test percentage
Worked example
With the default values below, Pipeline Health Score Calculator returns Pipeline Health Score of 90.3. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Build Success Rateaccepts 0–100 %
- 92 %
- Avg Build Durationaccepts 0.5–600 minutes
- 12 minutes
- Target Build Durationaccepts 0.5–600 minutes
- 10 minutes
- Flaky Test Rateaccepts 0–100 %
- 5 %
Results
- Pipeline Health Score
- 90.3 /100
- Health Category
- Excellent
- Success Component
- 92.0 /100
- Speed Component
- 83.3 /100
Step by step
- 1Success score (40% weight)= 92.0
- 2Speed score (30% weight)= 83.3
- 3Stability score (30% weight)= 95.0
- 4Overall health= 90.3 / 100
Assumptions and limits
- The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
- Figures are rounded for display to 1 decimal place, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
Why weight success rate highest?
A failing pipeline blocks all deployments — even a fast, stable pipeline is useless if builds don't pass. Success rate has the most direct impact on developer experience and delivery throughput.
How do I fix flaky tests?
Quarantine known flaky tests (run them separately, don't block the pipeline), then fix root causes: race conditions, time-dependent logic, external service dependencies, and shared mutable state.