fast_pyworld3 1.0.0

A high-performance Python implementation of the World3 model from Limits to Growth (2004). 20x faster than PyWorld3-03.

fast_pyworld3

A high-performance Python implementation of the World3 model from "Limits to Growth: The 30-Year Update" (2004). Resolves circular dependency issues for faster simulation.

Installation

pip install fast_pyworld3

Usage

from fast_pyworld3 import World3

world3 = World3()
world3.run()
results = world3.get_results()

from fast_pyworld3.core import World3, World3Config
config = World3Config(year_max=2050, dt=0.25)
world3 = World3(config)
world3.init_constants(nri=1.5e12)  # custom
world3.init_variables()
world3.set_table_functions()
world3.set_delay_functions()
world3.run()

Simulation Sectors

• Population
• Capital (Industrial/Service)
• Agriculture
• Pollution (Persistent)
• Resources (Nonrenewable)

Benchmark

20x faster than PyWorld3-03 with identical results.

Metric	PyWorld3-03	fast_pyworld3
Mean	1903.91 ms	94.24 ms
Speedup	-	20.20x

Validation

Variable	Correlation	Mean Rel Err	Max Rel Err
Total Population	1.000000	0.0000%	0.0000%
Industrial Output	1.000000	0.0000%	0.0000%
Food Per Capita	1.000000	0.0000%	0.0000%
Pollution Index	1.000000	0.0000%	0.0000%
Natural Resources	1.000000	0.0000%	0.0000%

Time Step Scaling

dt	Steps	PyWorld3-03	fast_pyworld3	Speedup
1.000	201	978.25 ms	50.67 ms	19.31x
0.500	401	1915.30 ms	92.16 ms	20.78x
0.250	801	3840.44 ms	190.58 ms	20.15x
0.125	1601	7794.03 ms	381.27 ms	20.44x

Requirements

• Python >= 3.13
• numpy, scipy, matplotlib

License

CeCILL v2.1