PAVER 2.0: An Open Source Environment for Automated Performance Analysis of Benchmarking Data
https://github.com/coin-or/Paver

This tools is meant to simplify the task of solver performance data comparison and visualization. 
Some description can be found in:

Michael R. Bussieck, Steven P. Dirkse, Stefan Vigerske
PAVER 2.0: An Open Source Environment for Automated Performance Analysis of Benchmarking Data
Journal of Global Optimization, 59:2-3 (2014), 259-275
https://dx.doi.org/10.1007/s10898-013-0131-5
https://www.gams.com/~svigerske/publications/paver2_paper.pdf


Requirements:
  Python 3.x (http://www.python.org/)
  Python NumPy (http://www.numpy.org/)
  Python matplotlib (http://matplotlib.org/)
  Python Pandas (http://pandas.pydata.org/)

The following versions seem to work:
  Python 3.6.6, Numpy 1.14.5, matplotlib 2.2.2, Pandas 0.23.1

ATTENTION: Pandas >= 0.25 does not work.
(Paver uses Pandas' Panel, which was removed with Pandas 0.25.)

For help on usage, execute:
  python ./src/paver/paver.py -h

For examples, see do*.sh scripts in examples subdirectory.