If you don’t use Bitbucket, you can pull data from any of our 100+ one-click, native integrations or from spreadsheets, databases and other APIs.
By using this powerful collaboration tool, your software team will be able to execute projects in a timely and organized manner. Here’s what you’ll learn from connecting your BitBucket account with Databox:
What else can you track and visualize with our robust integration with BitBucket?
When it comes to evaluating your software team’s performance, almost anything:
There are many different metrics and metric combinations you can track using BitBucket. And in Databox, you can quickly visualize 100s of Bitbucket metrics in a variety of different ways.
Read more about Databox’s BitBucket integration.
The Branches metric in Bitbucket measures the number of branches that exist within a repository. It gives an idea of how teams manage their codebase and collaborate on new features or bug fixes.
Commit metric is a count of individual changes made to the codebase, giving insights into how active the project is and how frequently changes are being made.
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.
Other Issues is a Bitbucket metric that tracks the number of non-bug related issues, such as feature requests or tasks, in a repository.
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 Declined Pull Requests metric in Bitbucket measures the number of proposed code changes that were rejected by team members or automated checks.
The Merged Pull Requests metric measures the number of pull requests that have been successfully merged into a branch within a specific time frame, indicating the productivity and collaboration of a team.
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.
Superseded Pull Requests metric tracks the number of pull requests that were closed or merged due to another pull request superseding them.
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.
Watchers is the number of users who have chosen to receive notifications of changes to a repository. They can watch any public repository hosted on Bitbucket.
Sometimes, you’ll want to dive deeper into performance. When you need to customize this template (or any other dashboard) to include different metrics, add metrics from different sources, etc., you can do so by using Databox’s Dashboard Designer.
The Designer allows you to easily drag-and-drop metrics and visualizations from any data source right into your dashboard.
Visualizing your performance data in a way that’s easy for everyone to interpret is the first step toward actually improving performance. So, what can you do when any of these metrics is trending down?
Find out here:
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