  Source code plagiarism is a significant issue in educational practice, and
educators need user-friendly tools to cope with such academic dishonesty. This
article introduces the latest version of Dolos, a state-of-the-art ecosystem of
tools for detecting and preventing plagiarism in educational source code. In
this new version, the primary focus has been on enhancing the user experience.
Educators can now run the entire plagiarism detection pipeline from a new web
app in their browser, eliminating the need for any installation or
configuration. Completely redesigned analytics dashboards provide an instant
assessment of whether a collection of source files contains suspected cases of
plagiarism and how widespread plagiarism is within the collection. The
dashboards support hierarchically structured navigation to facilitate zooming
in and out of suspect cases. Clusters are an essential new component of the
dashboard design, reflecting the observation that plagiarism can occur among
larger groups of students. To meet various user needs, the Dolos software stack
for source code plagiarism detections now includes a web interface, a JSON
application programming interface (API), a command line interface (CLI), a
JavaScript library and a preconfigured Docker container. Clear documentation
and a free-to-use instance of the web app can be found at
https://dolos.ugent.be. The source code is also available on GitHub.
