The Open Issues metric in Bitbucket represents the number of unresolved problems or task items that have been reported or created in a repository's issue tracker and are waiting for resolution by the development team.
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 Open Issues using Databox, follow these steps:
Bitbucket dashboard template provides you with the latest release stats like commits, repository status, top contributors for any Bitbucket project.
Forks are a metric that tracks how many times a repository has been copied by other users or organizations to create a separate, independent version of the codebase.
The Tags metric tracks the number of tags that are associated with a repository in Bitbucket, which can be used to organize and label specific versions of code.
New Other Issues is a metric that shows the number of new issues created in a repository, excluding bugs and enhancement requests.
The New Issues by Kind metric shows the number and types of new issues created in a given period of time.
The Time Since Last Commit metric indicates the duration since the latest update to a repository in Bitbucket, providing insight into the project's activity and potential issues like stalled development or infrequent contributions.
Open Pull Requests is a metric that shows the number of pull requests in a repository that have not been merged or closed yet. It gives an idea of the current workload or collaboration level in a project.
The New Superseded Pull Requests metric tracks the number of pull requests that have been replaced by newer ones, indicating the need for more efficient communication and decision-making processes within the development team.
The Declined Pull Requests metric in Bitbucket measures the number of proposed code changes that were rejected by team members or automated checks.