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Pyperplan is a lightweight STRIPS planner written in Python. Please note that Pyperplan deliberately prefers clean code over fast code. It is designed to be used as a teaching or prototyping tool. If you use it for paper experiments, please state clearly that Pyperplan does not offer state-of-the-art performance. It was developed during the planning practical course at the University of Freiburg during the winter term 2010/2011 and is published under the terms of the GNU General Public License 3 (GPLv3). Pyperplan supports the following PDDL fragment: STRIPS without action costs.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 75 | |
| downloads | 5 |

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