Solid – A comprehensive gradient-free optimization framework in Python
🎯 A comprehensive gradient-free optimization framework written in Python - 100/Solid
Solid – A comprehensive gradient-free optimization framework in Python launched on June 24, 2017 with 87 votes, #536 of 3,107 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 9 years on.
In plain words
Solid is a Python framework for gradient-free optimization, meaning it finds optimal solutions without requiring derivative calculations. It's designed for developers and researchers who need to optimize functions where gradients are unavailable, expensive to compute, or unreliable. The framework provides comprehensive tools for this type of optimization problem, making it useful for black-box optimization, hyperparameter tuning, and other scenarios where traditional gradient-based methods don't apply.
written from the facts on this page · September 2026
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