SimPy: Difference between revisions
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'''SimPy''' is a process-based [[ |
'''SimPy''' is a process-based [[discrete-event simulation]] framework based on standard [[Python (programming language)|Python]]. It enables users to model active components such as customers, vehicles, or agents as simple Python generator functions. SimPy is released as [[Open-source software|open source]] software under the [[MIT License]]. The first version was released in December 2002. |
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Its event dispatcher is based on Python's [ |
Its event dispatcher is based on Python's [[Generator (computer programming)|generators]] and can be used for asynchronous networking or to implement multi-agent systems (with both, simulated and real communication). Simulations can be performed “as fast as possible”, in real time (wall clock time) or by manually stepping through the events. Though it is theoretically possible to do continuous simulations with SimPy, it has no features to carry out that. However, SimPy is overkill for simulations with a fixed step size where your processes don't interact with each other or with shared resources — use a simple <code>while</code> loop in this case. |
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Additionally, SimPy provides different types of shared resources to simulate congestion points that have limited capacity, such as servers, checkout counters, and tunnels. In version 3.1 and above, SimPy offers monitoring capabilities to assist in collecting statistics about processes and resources. |
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Simpy 3.0 requires Python 3. <ref>{{Cite web |title=SimPy History & Change Log — SimPy 4.0.2.dev1+g2973dbe documentation |url=https://simpy.readthedocs.io/en/latest/about/history.html}}</ref>, while Simpy 4.0 requires Python 3.6+. SimPy distribution contains tutorials,<ref>{{cite journal |last1=Zinoviev |first1=Dmitry |date=February 2018 |title=Discrete Event Simulation. It's Easy with SimPy! |journal=PragPub |issue=104 |pages=1–16}}</ref> documentation, and examples. |
Simpy 3.0 requires Python 3. <ref>{{Cite web |title=SimPy History & Change Log — SimPy 4.0.2.dev1+g2973dbe documentation |url=https://simpy.readthedocs.io/en/latest/about/history.html}}</ref>, while Simpy 4.0 requires Python 3.6+. SimPy distribution contains tutorials,<ref>{{cite journal |last1=Zinoviev |first1=Dmitry |date=February 2018 |title=Discrete Event Simulation. It's Easy with SimPy! |journal=PragPub |issue=104 |pages=1–16}}</ref> documentation, and examples. |
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Revision as of 19:14, 27 April 2023
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| Original author(s) | Klaus G. Müller, Tony Vignaux |
|---|---|
| Developer(s) | Ontje Lünsdorf, Stefan Scherfke |
| Initial release | September 17, 2002 |
| Stable release | 4.0.1
/ April 15, 2020 |
| Repository | |
| Written in | Python |
| Operating system | Cross-platform |
| Type | Discrete event simulation |
| License | MIT |
| Website | simpy |
SimPy is a process-based discrete-event simulation framework based on standard Python. It enables users to model active components such as customers, vehicles, or agents as simple Python generator functions. SimPy is released as open source software under the MIT License. The first version was released in December 2002.
Its event dispatcher is based on Python's generators and can be used for asynchronous networking or to implement multi-agent systems (with both, simulated and real communication). Simulations can be performed “as fast as possible”, in real time (wall clock time) or by manually stepping through the events. Though it is theoretically possible to do continuous simulations with SimPy, it has no features to carry out that. However, SimPy is overkill for simulations with a fixed step size where your processes don't interact with each other or with shared resources — use a simple while loop in this case.
Additionally, SimPy provides different types of shared resources to simulate congestion points that have limited capacity, such as servers, checkout counters, and tunnels. In version 3.1 and above, SimPy offers monitoring capabilities to assist in collecting statistics about processes and resources.
Simpy 3.0 requires Python 3. [1], while Simpy 4.0 requires Python 3.6+. SimPy distribution contains tutorials,[2] documentation, and examples.
Example
The following is a SimPy simulation [3] showing a clock process that prints the current simulation time at each step:
>>> import simpy
>>>
>>> def clock(env, name, tick):
... while True:
... print(name, env.now)
... yield env.timeout(tick)
...
>>> env = simpy.Environment()
>>> env.process(clock(env, 'fast', 0.5))
<Process(clock) object at 0x...>
>>> env.process(clock(env, 'slow', 1))
<Process(clock) object at 0x...>
>>> env.run(until=2)
fast 0
slow 0
fast 0.5
slow 1
fast 1.0
fast 1.5
References
- ^ "SimPy History & Change Log — SimPy 4.0.2.dev1+g2973dbe documentation".
- ^ Zinoviev, Dmitry (February 2018). "Discrete Event Simulation. It's Easy with SimPy!". PragPub (104): 1–16.
- ^ Scherfke, Stefan (July 25, 2014). "Discrete-event simulation with SimPy" (PDF). p. 5. Retrieved August 10, 2016.