Google OR-Tools alternatives

3 tools to consider instead of Google OR-Tools, shown against it.

Google OR-Tools Gurobi Optimizer IBM ILOG CPLEX Optimization Studio Pyomo
Vendor Google Gurobi Optimization IBM Sandia National Laboratories / Pyomo community
Pricing model Open source + paid options Quote only Subscription Open source + paid options
Free tier Yes Yes Yes Yes
Deployment Self-hosted Cloud, Self-hosted Cloud, Self-hosted Self-hosted
Open source Yes (Apache-2.0) No No Yes (BSD-3-Clause)
Best for Engineering teams building routing, scheduling or packing optimization into a product without a commercial solver license. Teams solving large-scale linear or mixed-integer optimization problems in production who need a fast, well-supported commercial solver. Enterprises already on IBM's stack that need a mature commercial solver plus constraint programming for scheduling problems. Python-based data science and engineering teams who want optimization modeling embedded in their existing codebase.
Pricing

Free and open source; no vendor pricing page.

Pricing has not been verified yet — see the vendor's site.

Quote-based commercial licenses (named-user, floating, compute-server, cloud); free unrestricted license for academic use, plus a size-limited free license and a 30-day full trial.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Free Community Edition (1,000 variables/constraints) and free Academic Edition; paid Developer Subscription starts at a published monthly rate, with custom pricing for server/cluster deployments.

Community Edition Free
Developer Subscription from $320/month
Deployment (server/cluster/cloud) Custom quote
Academic Edition Free

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free and open source; solvers called by Pyomo may themselves be commercial.

Pricing has not been verified yet — see the vendor's site.

Features
  • CP-SAT constraint-programming solver
  • Vehicle routing problem (VRP) solver with time windows and capacity constraints
  • GLOP linear-programming solver and MIP wrappers
  • Bin packing and knapsack algorithms
  • Network flow and assignment algorithms
  • Python, C++, Java and C# APIs
  • Pluggable interface to call commercial solvers
  • Simplex and barrier solvers for linear programming
  • Branch-and-cut solver for mixed-integer programming
  • Quadratic and quadratically-constrained programming
  • Multi-core and distributed parallel solving
  • Python, C++, Java, .NET, MATLAB and R APIs
  • Cloud-managed licensing (Web License Service) and Instant Cloud
  • Solution pool and tuning tools for large industrial models
  • Simplex, barrier and network solvers for linear programming
  • Branch-and-cut mixed-integer solver
  • CP Optimizer for constraint and scheduling problems
  • OPL modeling language and integrated development environment
  • Python, Java, C++, .NET and MATLAB APIs
  • Parallel and distributed solving for large models
  • Sensitivity analysis and conflict refinement tools
  • Python-native modeling of variables, constraints and objectives
  • Solver-agnostic: works with Gurobi, CPLEX, Xpress, GLPK, CBC, HiGHS and more
  • Linear, mixed-integer, nonlinear and some stochastic formulations
  • Bilevel and generalized disjunctive programming extensions
  • Integrates with pandas, NumPy and standard Python tooling
  • Model transformation and preprocessing utilities
  • Scriptable for batch runs and sensitivity studies

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