The Total Closed Issues metric tracks the number of issues that have been resolved or closed by all contributors in a GitHub repository.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Total Closed Issues using Databox, follow these steps:
GitHub dashboard template provides you with the latest release stats like commits, repository status, top contributors for any Github project.
The Forks metric tracks the number of times a repository has been copied by other users or organizations on GitHub.
The Open Issues metric counts the number of unresolved problems, bugs or feature requests in a repository. It helps to track the backlog of work and prioritize tasks.
The Open Issues by Label metric displays the number of open issues in a repository categorized by specific labels, providing insight into which areas of a project may need more attention and management.
Issues Resolution Time by Label is a metric that tracks the average time it takes to resolve issues based on their labels. It provides insights into which types of issues take the longest to resolve, allowing for better resource allocation and faster issue resolution.
The new pull requests metric measures the number of proposed changes to a repository's codebase that have not yet been merged into the main branch.
The Closed Pull Requests metric shows the number of pull requests that have been merged or closed within a specific timeframe. It indicates the efficiency and progress of a team's development workflow.
Releases metric tracks the number of times a project's release is published, a new version with improved features or bug fixes. It helps measure software development progress and user adoption of new releases.
The Releases by Name metric quantifies the number of software releases that have been identified and named within a given time period. It provides insight into the frequency of software updates and their development cycle.