  Open source software (OSS), playing an increasingly critical role nowadays,
has been commonly adopted and integrated in various software products. For many
practitioners, selecting and adopting suitable OSS can help them greatly.
Though many studies have been conducted on proposing OSS evaluation and
selection models, a limited number are followed and used in the industry.
Meanwhile, many existing OSS evaluation tools, though providing valuable
details, fall short on offering intuitive suggestions in terms of
framework-supported evaluation factors. Towards filling the gap, we propose an
Open Source Software Project Evaluation and Selection TOol (OSS PESTO).
Targeting OSS on Github, the largest OSS source code host, it facilitates the
evaluation practice by enabling practitioners to compare candidates therein in
terms of selected OSS evaluation models. It also allows in-time Github data
collection and customized evaluation that enriches its effectiveness and ease
of use.
