MOO Viz exists to help visualize and understand Pareto-optimal point sets, specifically, those produced by solving multi-objective math programming models.
To compare these point sets (frontiers) MOO Viz can produce a handful of visualization aids, from simple tables to scatterplots to parallel coordinate plots. MOO Viz also computes metrics that describe the competition between frontiers in a dataset and between objectives within a frontier. The metrics include a pairwise-objective conflict score (described in Section 2.4 here), the hypervolume indicator, and other measures most commonly used in evolutionary multi-objective optimization.
You can try MOO Viz here.
Note: only a small subset of the eventual features are currently implemented. Please check back (or contribute!) for updates.