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This feature is available only in Awesome Graphs for Bitbucket S= erver.
Awes= ome Graphs adds the People<= /strong> dropdown menu in the Bitbuc= ket Server header, which includes:
Recently Viewed
The Recently Viewed category of the People dropdown men= u comprises the list of Bitbucket Server users whose Contributions graphs were recently viewed in their Bitbucket Server= user profiles. As you click one of the names on that list, the Contributio= ns tab of that Bitbucket Server user profile is opened. And you can see tha= t user's Contributor Calendar and Contribution Activity Stream.
When you click All users in the People dropdown menu, t= he People page is opened. There you can see who made commi= ts or created pull requests in the past month. This page shows stats across= all repositories and projects, which gives you a global view of developer = activity. Each developer card has a graph and stats (number of commits or p= ull requests). Developer cards are sorted by the number of contributions ma= de within a selected time span. It can help you understand who's been most = active.
Contributor graphs include:
On the top bar, there are two sections with options for filtering contri= butors: Time Span and Activity Type.
When you select one of the time span options, the list of contribut= ors is updated and shows only contributors with contributions made during a= chosen time span sorted by the number of contributions. Time span options = include:
By default, the list of contributors is rendered based on contributions = made in the last month.
When you select one of the activity types, all contributions are filtere= d and Contributor graphs are rendered based only on the number of contribut= ions of that activity type. The Activity Type section includes the followin= g options:
By default, the list of contributors is created based on commits.
If 'Pull requests' is selected, the Contributor graph displays only pull= requests.
export raw data with the commits = and pull request statistics across all projects and repositories to a CSV f= ile.
The data for a CSV file is = gathered based on the activity type and period of time you choose on the to= p of the page. In order to export the data click the Export button and choose CSV.
= Read more about exporting to CSV and what data is included in a re= port.
The Awesome Graphs' REST API gives you the capability to export raw data= about commits, lines of code, and pull requests. Using it, you can:
You can access the REST API reference documentation at the People page by clicking on Export > = REST API or via the link: <bitbucket-ho= st>/plugins/servlet/graphs-api.