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Clarabel

http://clarabel.rs/ is a Rust implementation of an interior point numerical solver for convex optimization problems using a novel homogeneous embedding.

Type: Solver
Topic: Nonlinear and convex optimization
Audience: Practitioner
Researcher

SCSSolverSCS (Splitting Conic Solver) is a numerical optimization package for solving large-scale convex quadratic cone problems. The code is freely available on https://github.com/cvxgrp/scs. It solves primal-dual problems.
KNITROSolverThe most advanced solver for nonlinear optimization.
CVXPYModeling languageCVXPY is an open source Python-embedded modeling language for convex optimization problems. It lets you express your problem in a natural way that follows the math, rather than in the restrictive standard form required by solvers.
Discord: CVXPYCommunityThe CVXPY Discord community is a group of people who use the CVXPY software to solve convex optimization problems in Python
MOPTA challengeChallengeAnnual challenges from the University of Lehigh
NLoptSolverNLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms.