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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 submitted (2013) http://www.gamsworld.org/performance/paver2/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.