Data Pipelines

NLopt

Nonlinear optimization solver for global and local problems

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0
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What it is

NLopt is a free/open-source library for nonlinear optimization, providing a common interface for various algorithms. It supports both global and local optimization methods, making it suitable for solving complex optimization tasks.

NLopt stands out for its comprehensive support across multiple programming languages and its unified interface for a wide range of optimization algorithms, making it highly versatile for various optimization tasks.

When it fits — and when it doesn’t

A good fit for

  • Developers working on projects requiring complex optimization algorithms

  • Researchers needing a flexible and comprehensive nonlinear optimization library

  • Engineers solving constrained or unconstrained optimization problems in various domains

Look elsewhere if

  • Projects that require real-time optimization with strict latency requirements

  • Applications where the overhead of setting up an external library is not acceptable

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve for non-C developers

    NLopt's primary interface is in C, which can be challenging for developers unfamiliar with the language.

  2. 02

    Limited native support for high-level languages

    While bindings exist for some languages like Python and Julia, they are not as well-maintained or comprehensive as the C interface.

  3. 03

    Performance issues with large-scale problems

    NLopt may exhibit slower performance when dealing with high-dimensional optimization tasks compared to specialized libraries optimized for specific problem sizes.

  4. 04

    Documentation lacks depth on algorithm specifics

    While there are examples and a general overview, detailed explanations of each algorithm's behavior and best use cases are sparse.

What it does well

  • Supports both global and local optimization algorithms

  • Unified interface for various optimization methods

  • Extensive documentation and examples

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up NLopt

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →