PyOptInterface (Python Optimization Interface)

PyOptInterface is an open-source Python library to provide a unified API to construct and solve optimization models with various optimizers.

The detailed documentation can be found here.

Key features compared with other modeling interfaces

It is designed as a very thin wrapper of native C API of optimizers and attempts to provide common abstractions of an algebraic modelling environment including model, variable, constraint and expression with the least overhead of performance.

The key features of PyOptInterface include:

Very fast speed to construct optimization model (10x faster than Pyomo, comparable with JuMP.jl and some official Python bindings provided by vendors of optimizer)
Highly efficient structured automatic differentiation for nonlinear optimization with JIT compilation (faster than other NLP frameworks)
Low overhead to modify and re-solve the problem incrementally (including adding/removing variables/constraints, changing objective function, etc.)
Unified API to cover common usages, write once and the code works for all optimizers
You still have escape hatch to query or modify solver-specific parameter/attribute/information for different optimizers directly like the vendor-specific Python binding of optimizer

Benchmark

The benchmark comparing PyOptInterface with some other modeling interfaces can be found here. PyOptInterface is among the fastest modeling interfaces in terms of model construction time and automatic differentiation of nonlinear optimization problems.

Installation

PyOptInterface is available on PyPI. You can install it via pip:

pip install pyoptinterface

After installation, you can import the package in Python console:

import pyoptinterface as poi

PyOptInterface has no dependencies other than Python itself. However, to use it with a specific optimizer, you need to install the corresponding optimizer manually. The details can be found on the configurations of optimizers.

In order to provide out-of-the-box support for open source optimizers (currently we support HiGHS), PyOptInterface can also be installed with pre-built optimizers. You can install them via pip:

pip install pyoptinterface[highs]

It will install a full-featured binary version of HiGHS optimizer via highsbox, which can be used with PyOptInterface.

What kind of problems can PyOptInterface solve?

It currently supports the following problem types:

Linear Programming (LP)
Mixed-Integer Linear Programming (MILP)
Quadratic Programming (QP)
Mixed-Integer Quadratic Programming (MIQP)
Quadratically Constrained Quadratic Programming (QCQP)
Mixed-Integer Quadratically Constrained Quadratic Programming (MIQCQP)
Second-Order Cone Programming (SOCP)
Mixed-Integer Second-Order Cone Programming (MISOCP)
Exponential Cone Programming (ECP)
Mixed-Integer Exponential Cone Programming (MIECP)
Nonlinear Programming (NLP)

What optimizers does PyOptInterface support?

It currently supports the following optimizers:

COPT ( Commercial )
Gurobi ( Commercial )
Xpress ( Commercial )
HiGHS ( Open source )
Mosek ( Commercial )
Ipopt ( Open source )
KNITRO ( Commercial )

Short Example

import pyoptinterface as poi
from pyoptinterface import highs

model = highs.Model()

x = model.add_variable(lb=0, ub=1, domain=poi.VariableDomain.Continuous, name="x")
y = model.add_variable(lb=0, ub=1, domain=poi.VariableDomain.Integer, name="y")

con = model.add_linear_constraint(x + y >= 1.2, name="con")

obj = 2*x
model.set_objective(obj, poi.ObjectiveSense.Minimize)

model.set_model_attribute(poi.ModelAttribute.Silent, False)
model.optimize()

print(model.get_model_attribute(poi.ModelAttribute.TerminationStatus))
# TerminationStatusCode.OPTIMAL

x_val = model.get_value(x)
# 0.2

y_val = model.get_value(y)
# 1.0

Citation

If you use PyOptInterface in your research, please consider citing the following paper:

@article{yang2024accelerating,
      title={Accelerating Optimal Power Flow with Structure-aware Automatic Differentiation and Code Generation},
      author={Yang, Yue and Lin, Chenhui and Xu, Luo and Yang, Xiaodong and Wu, Wenchuan and Wang, Bin},
      journal={IEEE Transactions on Power Systems},
      year={2024},
      publisher={IEEE}
}

License

PyOptInterface is licensed under MPL-2.0 License.

It uses nanobind, fmtlib and martinus/unordered_dense as dependencies.

The design of PyOptInterface is inspired by JuMP.jl.

Some solver-related code in src folder is adapted from the corresponding solver interface package in JuMP.jl ecosystem, which is licensed under MIT License.

The header files in thirdparty/solvers directory are from the corresponding distribution of optimizers and are licensed under their own licenses.

Metadata

Release files for pyoptinterface 0.6.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for pyoptinterface 0.6.1
File	Interpreter	ABI	Platform	Reset
pyoptinterface-0.6.1-cp312-abi3-win_amd64.whl 2.1 MB Mar 27, 2026	CPython 3.12	abi3	Windows x86-64	Details
pyoptinterface-0.6.1-cp312-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl 3.4 MB Mar 27, 2026	CPython 3.12	abi3	Linux glibc 2.17+ x86-64	Details
pyoptinterface-0.6.1-cp312-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl 3.1 MB Mar 27, 2026	CPython 3.12	abi3	Linux glibc 2.17+ ARM64	Details
pyoptinterface-0.6.1-cp312-abi3-macosx_11_0_arm64.whl 2.4 MB Mar 27, 2026	CPython 3.12	abi3	macOS 11.0+ ARM64	Details
pyoptinterface-0.6.1-cp312-abi3-macosx_10_14_x86_64.whl 2.7 MB Mar 27, 2026	CPython 3.12	abi3	macOS 10.14+ x86-64	Details
pyoptinterface-0.6.1-cp311-cp311-win_amd64.whl 2.1 MB Mar 27, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
pyoptinterface-0.6.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl 3.4 MB Mar 27, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-64	Details
pyoptinterface-0.6.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl 3.2 MB Mar 27, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.17+ ARM64	Details
pyoptinterface-0.6.1-cp311-cp311-macosx_11_0_arm64.whl 2.4 MB Mar 27, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
pyoptinterface-0.6.1-cp311-cp311-macosx_10_14_x86_64.whl 2.7 MB Mar 27, 2026	CPython 3.11	CPython 3.11	macOS 10.14+ x86-64	Details
pyoptinterface-0.6.1-cp310-cp310-win_amd64.whl 2.1 MB Mar 27, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
pyoptinterface-0.6.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl 3.4 MB Mar 27, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-64	Details
pyoptinterface-0.6.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl 3.2 MB Mar 27, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.17+ ARM64	Details
pyoptinterface-0.6.1-cp310-cp310-macosx_11_0_arm64.whl 2.4 MB Mar 27, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
pyoptinterface-0.6.1-cp310-cp310-macosx_10_14_x86_64.whl 2.7 MB Mar 27, 2026	CPython 3.10	CPython 3.10	macOS 10.14+ x86-64	Details
pyoptinterface-0.6.1-cp39-cp39-win_amd64.whl 2.1 MB Mar 27, 2026	CPython 3.9	CPython 3.9	Windows x86-64	Details
pyoptinterface-0.6.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl 3.4 MB Mar 27, 2026	CPython 3.9	CPython 3.9	Linux glibc 2.17+ x86-64	Details
pyoptinterface-0.6.1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl 3.2 MB Mar 27, 2026	CPython 3.9	CPython 3.9	Linux glibc 2.17+ ARM64	Details
pyoptinterface-0.6.1-cp39-cp39-macosx_11_0_arm64.whl 2.4 MB Mar 27, 2026	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details
pyoptinterface-0.6.1-cp39-cp39-macosx_10_14_x86_64.whl 2.7 MB Mar 27, 2026	CPython 3.9	CPython 3.9	macOS 10.14+ x86-64	Details

Total release size: 55.2 MB

Release files / pyoptinterface-0.6.1-cp312-abi3-win_amd64.whl

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Release files / pyoptinterface-0.6.1-cp311-cp311-win_amd64.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

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Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Release files / pyoptinterface-0.6.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

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Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Release files / pyoptinterface-0.6.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

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Uploaded via	`twine/6.1.0 CPython/3.13.7`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Release files / pyoptinterface-0.6.1-cp310-cp310-macosx_11_0_arm64.whl

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Release files / pyoptinterface-0.6.1-cp310-cp310-macosx_10_14_x86_64.whl

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Uploaded via	`twine/6.1.0 CPython/3.13.7`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Release files / pyoptinterface-0.6.1-cp39-cp39-win_amd64.whl

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Upload date	Mar 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Release files / pyoptinterface-0.6.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

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Upload date	Mar 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Artifact

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Release files / pyoptinterface-0.6.1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

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Upload date	Mar 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Artifact

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Release files / pyoptinterface-0.6.1-cp39-cp39-macosx_11_0_arm64.whl

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Upload date	Mar 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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Artifact

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Release files / pyoptinterface-0.6.1-cp39-cp39-macosx_10_14_x86_64.whl

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Upload date	Mar 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/metab0t/PyOptInterface
Publishing commit: github.com/metab0t/PyOptInterface/tree/245c19407b17a2ef65a21961548c471fa7c7b8d6

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