  This paper presents Summary Workbench, a new tool for developing and
evaluating text summarization models. New models and evaluation measures can be
easily integrated as Docker-based plugins, allowing to examine the quality of
their summaries against any input and to evaluate them using various evaluation
measures. Visual analyses combining multiple measures provide insights into the
models' strengths and weaknesses. The tool is hosted at
\url{https://tldr.demo.webis.de} and also supports local deployment for private
resources.
