PyMathProg: another Python based modeling tool

Project homepage: http://pymprog.sourceforge.net/

Uses GLPK as solver. Here is a small example:

from pymprog import * c = (10, 6, 4) A = [ ( 1, 1, 1), ( 9, 4, 5), ( 2, 2, 6) ] b = (10, 60, 30) begin('basic') # begin modelling verbose(True) # be verbose x = var('x', 3) #create 3 variables maximize(sum(c[i]*x[i] for i in range(3))) for i in range(3): sum(A[i][j]*x[j] for j in range(3)) <= b[i] solve() # solve the model sensitivity() # sensitivity report end() #Good habit: do away with the model

There is quite some competition in this space. Some of the major competitors:

• PuLP, https://pythonhosted.org/PuLP/
• Pyomo, http://www.pyomo.org/
• Gurobi, an early adopter of Python as modeling language