PuLP Insights | Sumble

What is PuLP?

PuLP is an open-source linear programming (LP) solver written in Python. It allows users to describe optimization problems using Python syntax and then solve them using various LP solvers (like CBC, CPLEX, Gurobi, etc.). PuLP simplifies the process of formulating and solving LP, mixed-integer programming (MIP), and other optimization problems. It is commonly used in operations research, logistics, resource allocation, and other fields where optimization is important.

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What other technologies are related to PuLP?

PuLP Competitor Technologies

Pyomo

Pyomo is an alternative algebraic modeling language in Python for formulating optimization problems, directly competing with PuLP.

mentioned alongside PuLP in 26% (213) of relevant job posts

PuLP Complementary Technologies

CPLEX

CPLEX is a commercial optimization solver that PuLP can use as a backend solver. Thus, it is complementary.

mentioned alongside PuLP in 7% (233) of relevant job posts

Gurobi

Gurobi is a commercial optimization solver that PuLP can use as a backend solver, similar to CPLEX, and thus complementary.

mentioned alongside PuLP in 5% (278) of relevant job posts

SciPy

SciPy provides numerical routines, and PuLP can leverage SciPy for certain calculations and functionalities in optimization tasks. Hence, complementary.

mentioned alongside PuLP in 1% (142) of relevant job posts