KPI Tree

GitHub Metric

Engineering

Repository Health Score is a composite metric that evaluates key health indicators for a GitHub repository, including documentation completeness, test coverage, CI configuration, dependency freshness, branch protection rules, and recent maintenance activity. It provides a single number for comparing repository maturity across an organisation.

GitHubEngineering

Repository Health Score

Repository Health Score is a composite metric that evaluates key health indicators for a GitHub repository, including documentation completeness, test coverage, CI configuration, dependency freshness, branch protection rules, and recent maintenance activity. It provides a single number for comparing repository maturity across an organisation.

Why repository health score matters for GitHub users

Organisations with dozens or hundreds of repositories need a way to prioritise maintenance investment. A health score surfaces repositories that are well-maintained and those that are accumulating risk through neglect.

For GitHub teams, the health score helps platform teams identify repositories missing branch protection, lacking CI configuration, or falling behind on dependency updates - any of which could become a security or reliability incident.

Understand and act on repository health score with KPI Tree

Aggregate repository metadata from the GitHub API in your warehouse and define a weighted composite score in KPI Tree. Place it at the top of a repository-level metric tree with components like coverage, dependency age, and documentation quality as child nodes.

Assign RACI ownership to repository maintainers and configure quarterly reviews where low-scoring repositories are triaged for improvement.

Get started with your GitHub data

Query using MCP
MCP

Pull metrics from GitHub directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where GitHub data already lands.

Professional Services
FivetranSnowflakedbt

Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Related GitHub metrics

Code Quality Trend Analysis

Engineering

Metric Definition

Code Quality Trend Analysis aggregates signals such as linting violations, cyclomatic complexity, code duplication, and static-analysis findings over time. It provides a longitudinal view of code health across repositories. Consistent improvement indicates maturing engineering practices.

View metric

Code Coverage Trend

Engineering

Metric Definition

Code Coverage = Lines Covered by Tests / Total Lines of Code × 100

Code Coverage Trend tracks the percentage of code exercised by automated tests over time, measured per commit or release. It highlights whether new code is being adequately tested and whether coverage is improving or regressing. Sustained downward trends signal growing risk.

View metric

Security Vulnerability Trends

Engineering

Metric Definition

Security Vulnerability Trends tracks the number, severity, and type of security vulnerabilities discovered across repositories over time. It encompasses Dependabot alerts, code scanning findings, and secret scanning detections. Improving trends indicate maturing security practices and proactive dependency management.

View metric

Technical Debt Accumulation

Engineering

Metric Definition

Technical Debt Accumulation measures the rate at which technical debt grows across a codebase, using proxies such as TODO/FIXME comment count, aged open issues labelled as tech-debt, increasing cyclomatic complexity, and dependency staleness. Rising accumulation signals that short-term trade-offs are compounding into long-term burden.

View metric

Empower your team to understand and act on GitHub data

Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.

Experience That Matters

Built by a team that's been in your shoes

Our team brings deep experience from leading Data, Growth and People teams at some of the fastest growing scaleups in Europe through to IPO and beyond. We've faced the same challenges you're facing now.

Checkout.com
Planet
UK Government
Travelex
BT
Sainsbury's
Goldman Sachs
Dojo
Redpin
Farfetch
Just Eat for Business