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GitHub’s organization-level Code Quality Trends tab charts changes in the number of open findings across repositories over 7, 14, or 30 days. It can help you spot where that count is rising or falling, but it does not show which individual findings were introduced or fixed. Access depends on your GitHub plan, Code Quality being enabled, and your repository permissions.
What the Trends tab measures
GitHub announced the organization-level Trends tab on August 19, 2026. Its chart shows daily snapshots of open-finding counts across repositories where Code Quality is enabled. You can group the chart by health score or severity, and see the current total alongside its net change since the selected period began. Repository tables rank repositories by changes in finding count. GitHub’s announcement describes the view as showing how code quality has changed across repositories over time.
This is an aggregate trend, not a ledger of finding lifecycles. A lower count does not tell you which findings were resolved, whether new findings appeared during the period, or what caused the net change. Findings can also differ in severity and significance, so a count alone is not a measure of impact.
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Who can use it and what they can see
GitHub’s August 19, 2026 announcement says the feature is generally available to GitHub Team and GitHub Enterprise Cloud organizations with Code Quality enabled, including Enterprise Cloud with data residency. It is not available on GitHub Enterprise Server. Plan availability can change, so confirm current eligibility in GitHub’s announcement and your organization’s settings.
Visibility within the organization depends on role and repository access:
- Organization owners can see all repositories where Code Quality is enabled.
- Other members see only repositories whose findings they are allowed to view.
- The documented maximum is 3,000 repositories.
That means two people can see different totals even when they are looking at the same organization. Filters also narrow the results. Check access scope and filter selections before comparing people, teams, or reporting periods.
How to open and read the organization trend
- Open the organization page and select Security and quality.
- Under Insights, select Code quality, then open Trends.
- Choose a period: 7, 14, or 30 days.
- Choose whether to group findings by health score or severity, then review the current open-finding total and its net change since the period began.
- Use the repository rankings to identify where finding counts changed, then inspect the relevant repositories and findings to understand the signal.
GitHub documents filters for reliability and maintainability score, standard or AI findings, topic, team, visibility, and custom organization properties. Apply consistent filters and access scope when comparing periods or groups; otherwise, a change in what is included can look like a change in code health. See GitHub’s organization Code Quality documentation for the navigation and filter details.
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The trend is built from daily snapshots, and a day may have no point if no analysis ran. If snapshots have only recently started, the available history may not cover the full selected period. A missing point is therefore not, by itself, evidence that the count was zero or unchanged. Check when analyses ran before interpreting gaps or comparing the start and end of a window.
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How to use a change in findings responsibly
Treat the chart as a signal for investigation, not a standalone verdict that code quality improved or deteriorated. A useful follow-up is to examine the repositories with the largest count changes, then review finding severity and health-score context. The aggregate chart identifies where to look; it does not explain the underlying causes or expose each finding’s history.
For organization-wide engineering measurement, keep code quality separate from software delivery performance. DORA’s Core Model is a research-derived guide for practitioners. Its Four Keys project covers deployment frequency, lead time for changes, time to restore services, and change failure rate. Those measures can add context about delivery, but they do not measure maintainability or substitute for GitHub’s open-finding counts. Four Keys is designed for projects with deployments, so release-only libraries may not fit its data model.
Teams needing customizable engineering metrics can explore source-available measurement projects listed in DORA’s resources, including Apache DevLake, which collects, analyzes, and visualizes engineering data. These tools are alternatives for building broader or tailored measures, not equivalent implementations of GitHub Code Quality Trends.
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