cvxpy-base

What it is and what it does

cvxpy-base is the compiled solver kernel layer for CVXPY, a Python-embedded domain-specific language for convex optimization. It provides the numerical computation engine that solves optimization problems modeled in CVXPY's high-level syntax. The package handles the lower-level solver operations, relying on numpy, scipy, qdldl, and sparsediffpy for linear algebra and differentiation.

This is a base package—part of CVXPY's architecture rather than a standalone tool. It enables CVXPY to model and solve convex optimization problems (including mixed-integer, geometric, quasiconvex, and nonlinear programs) by providing the compiled solver kernels that perform the actual numerical work. Users typically interact with it indirectly through the main cvxpy package, which uses cvxpy-base's solvers to compute solutions.

Use it for:

• Solving least-squares problems with variable bounds or linear constraints in machine learning pipelines
• Portfolio optimization and risk management in quantitative finance applications
• Control system design and trajectory optimization in robotics and autonomous systems
• Signal processing and filter design requiring convex formulations
• Resource allocation and scheduling problems in operations research

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

cvxpy-base provides compiled solver kernels for CVXPY, a Python modeling language for convex optimization problems. It handles the numerical computation layer that solves optimization problems expressed in CVXPY's high-level syntax.

Yes, if you are using CVXPY for convex optimization work. cvxpy-base is a required component of CVXPY's solver stack. It is actively maintained, has no known vulnerabilities, supports current Python versions, and carries a permissive Apache-2.0 license. Install friction is moderate due to compiled wheels, but pre-built binaries for major platforms minimize build complexity.

Install

cvxpy-base on PyPI

pip install cvxpy-base

uv add cvxpy-base

poetry add cvxpy-base

Installing cvxpy-base

Before you install

Medium install friction due to compiled wheels for multiple platforms and Python versions. Active maintenance with recent releases; last commit 2026-08-12 indicates steady support.

License in practice

Apache-2.0 permissive license allows use in commercial and open-source projects with minimal restrictions; attribution required but no copyleft obligations.

Quickstart

pip install cvxpy-base

import cvxpy as cp
import numpy

x = cp.Variable(10)
objective = cp.Minimize(cp.sum_squares(x))
prob = cp.Problem(objective)
prob.solve()

Requires Python >= 3.11. Runtime dependencies numpy, scipy, qdldl, and sparsediffpy must be installed; typically handled automatically by pip.

Verify before relying

• Whether cvxpy-base can be installed and used standalone or requires the main cvxpy package
• Performance characteristics and solver selection behavior compared to other CVXPY solver backends
• Specific optimization problem classes or sizes for which this backend is recommended
• How monthly download volume translates to actual production usage patterns

Package facts

Evidence: cvxpy_base-1.9.2-cp311-cp311-macosx_10_9_universal2.whl; cvxpy_base-1.9.2-cp311-cp311-macosx_10_9_x86_64.whl; cvxpy_base-1.9.2-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; cvxpy_base-1.9.2-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; cvxpy_base-1.9.2-cp311-cp311-win_amd64.whl; cvxpy_base-1.9.2-cp312-cp312-macosx_10_13_universal2.whl; cvxpy_base-1.9.2-cp312-cp312-macosx_10_13_x86_64.whl; cvxpy_base-1.9.2-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; cvxpy_base-1.9.2-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; cvxpy_base-1.9.2-cp312-cp312-win_amd64.whl; cvxpy_base-1.9.2-cp313-cp313-macosx_10_13_universal2.whl; cvxpy_base-1.9.2-cp313-cp313-macosx_10_13_x86_64.whl; cvxpy_base-1.9.2-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; cvxpy_base-1.9.2-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; cvxpy_base-1.9.2-cp313-cp313-win_amd64.whl; cvxpy_base-1.9.2-cp314-cp314-macosx_10_15_universal2.whl; cvxpy_base-1.9.2-cp314-cp314-macosx_10_15_x86_64.whl; cvxpy_base-1.9.2-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; cvxpy_base-1.9.2-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; cvxpy_base-1.9.2-cp314-cp314t-macosx_10_15_universal2.whl

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