Nick Wogan Nicholaswogan

## a_stiff_ode_performance_python_julia.md

      
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                SciPy+Numba odeint vs Julia ODE vs NumbaLSODA: 50x performance difference on stiff ODE
              
          
    SciPy+Numba odeint vs Julia DifferentialEquations.jl vs NumbaLSODA Summary

All are solved at reltol=1e-3, abstol=1e-6 using the fastest ODE solver of the respective package for the given problem.
Absolute Performance Numbers:


SciPy LSODA through odeint takes ~489μs
SciPy LSODA through odeint with Numba takes ~257μs
NumbaLSODA takes ~25μs
DifferentialEquations.jl Rosenbrock23 takes ~9.2μs