File:Inserter Efficiency Graph (Capacity Bonus 4).png

Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 4. Worth noting is the significant overlap between stack inserters and green inserters.

Here is the code to reproduce the graph in python if it ever needs editing:

import matplotlib.pyplot as plt import numpy as np

burner_speed = 60 / 76 yellow_speed = 60 / 70 red_speed = 60 / 50 blue_speed = 60 / 24

yellow_drain = 0.4 blue_drain = 0.5 green_drain = 1

burner_energy = 66.9 yellow_energy = 6.65 red_energy = 7 blue_energy = 8.12 green_energy = 23.2 stack_energy = 46.4

stack_size = 2 green_stack = 4 stack_stack = 8

x = np.linspace(0, blue_speed * stack_stack, 300)

yellow_count = np.trunc(x / (yellow_speed * stack_size)) + 1 red_count = np.trunc(x / (red_speed * stack_size)) + 1 blue_count = np.trunc(x / (blue_speed * stack_size)) + 1 green_count = np.trunc(x / (blue_speed * green_stack)) + 1

dynamic_stack = x / stack_size dynamic_green = x / green_stack dynamic_stacker = x / stack_stack

burner = burner_energy * dynamic_stack yellow = (yellow_energy * dynamic_stack) + (yellow_drain * yellow_count) red = (red_energy * dynamic_stack) + (yellow_drain * red_count) blue = (blue_energy * dynamic_stack) + (blue_drain * blue_count) green = (green_energy * dynamic_green) + (green_drain * green_count) stack = (stack_energy * dynamic_stacker) + green_drain

fig = plt.figure(figsize = (20, 15)) ax = plt.axes()

ax.plot(x, burner, label = "Burner", color = "black") ax.plot(x, yellow, label = "Yellow", color = "orange") ax.plot(x, red, label = "Red", color = "red") ax.plot(x, blue, label = "Blue", color = "blue") ax.plot(x, green, label = "Green", color = "green") ax.plot(x, stack, label = "Stack", color = "purple")

xlim = blue_speed * stack_stack ylim = (stack_energy / stack_stack) * xlim

ax.set_ylim(0, ylim) ax.set_xlim(0, xlim)

xtick = 0.5 ytick = 2

ax.set_xticks(np.arange(0, xlim + xtick, xtick)) ax.set_yticks(np.arange(0, ylim + ytick, ytick))

ax.set_title("Inserter Efficiency (Capacity Bonus 2)") ax.set_xlabel("Items / second", fontweight = "bold") ax.set_ylabel("Power Cost (kW)", fontweight = "bold")

ax.grid() ax.legend(loc = "best")

plt.show()