Greenhouse gas (GHG) emissions have been recognized as accelerators of the Global climate change phenomenon and several human activities take part in it. The contribution of the computing sector to the emissions is significant and deemed to grow in the near future. While on one side numerous relevant physics results have been obtained thanks to the increasing computational power available, on the other the heavy reliance on power-eager resources has started to lead
scientific research to become energetically challenging and potentially cost-inefficient. In order to guarantee the overall sustainability of physics research, all the stakeholders, namely users and data centers, should be able to keep track - in addition to the currently adopted performance metrics- of the carbon footprint and energy-intensiveness associated to their operations. Through this
reviewing activity, Stakeholders can reach a deeper understanding of the burden related to their
operations and take informed decisions to curb it without adding penalties on performance. For instance, users might plan energy optimizations of the workflow while data centers might adopt
different management policies to abate the footprint of the facility. In this work, we introduce an open tool prototype, written in C++, that allows users and data centers to easily keep track,
analyze and report the energy requirements and carbon footprint in gCO2e of their computing tasks. Such tool should help shedding some light on the often not-so-trivial trade-off between
performance and environmental footprint. By gathering detailed data, such tool should also trigger meta-analyses on the behaviour of algorithms as well as computing infrastructures with
a view to better leveraging said resources. Sample Physics research-related use-cases are discussed to present the tool.