coin-or/pulp

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2488 stars · 438 forks observed · 2026-10-10

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PuLP is a Python library for modeling linear and mixed integer programming (LP/MILP) problems. It lets users define optimization models with variables, objectives, and constraints, then solves them via external solvers such as CBC, GLPK, HiGHS, Gurobi, CPLEX, and others.

Use cases

• solve linear programming problems in python
• model mixed integer programming problems
• optimize resource allocation and blending problems
• solve transportation and production planning problems
• generate MPS or LP model files for solvers
• solve sudoku or set partitioning as an optimization problem
• use gurobi cplex or cbc from python

When to choose

• you need to formulate and solve LP or MILP models in Python
• you want a pure-Python modeling layer that works with many open-source and commercial solvers
• you need to export models as MPS or LP files

When to avoid

• you need nonlinear or general constraint programming without CP-SAT
• you want a solver bundled out of the box without installing CBC or another solver separately
• you need large-scale optimization with a modeling DSL beyond Python

Facets

library · maturity active

math sdk mathematics performance python cross-platform linear-programming mixed-integer-programming optimization operations-research solver-interface mps lp-files algorithms

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For agents

markdown · JSON · MCP: product_card(name="coin-or/pulp")