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.
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 Pull Requests 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 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.
New Open Issues metric tracks the number of recently created issues that are still open in Bitbucket.
All Issues metric in Bitbucket is the total number of open and closed issues in a repository or project. It provides a quick overview of all the issues tracked in your project.
The Issues by Kind metric in Bitbucket categorizes and displays the number of issues based on their type (e.g. bug, enhancement, task) to help teams prioritize and manage their work effectively.
The New Open Pull Requests metric tracks the number of pull requests that have been created and are currently open for review and merging.
The New Superseded Pull Requests metric tracks the number of pull requests that have been replaced by newer ones, indicating the need for more efficient communication and decision-making processes within the development team.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.