Gonum/Stat vs Gonum Optimize
Side-by-side — pricing, strengths, tradeoffs, and fit.
Gonum/Stat
A statistics library for the Go programming language.
Gonum Optimize
Optimization algorithms for Go applications.
At a glance
Open SourceFree Tier
· Not enough data·From $0
Open SourceFree Tier
· Not enough data·From $0
Overview
One-liner
One-liner
A statistics library for the Go programming language.
One-liner
Optimization algorithms for Go applications.
Maturity
Maturity
Not enough dataMaturity
Not enough dataOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableOpen source — free to use
Free tier
✓ AvailableOpen source — free to use
Starts at
Starts at
$0
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Go developers who need robust statistical functions for their data analysis projects
Projects that require integration with other Gonum packages for comprehensive numerical computations
✓ Best for
Go developers who need to integrate optimization algorithms into their applications
Research teams working on numerical methods and computational mathematics
Not ideal for
✕ Not for
Developers looking for a web-based or cloud-hosted solution
Projects requiring real-time statistical processing and analytics
✕ Not for
Projects that require real-time processing of large datasets (due to local execution constraints)
Teams looking for a cloud-based service with managed backend support
Strengths
↑ Strengths
Comprehensive statistical functions and operations
Integration with other Gonum packages for linear algebra and optimization
High performance and efficiency in numerical computations
↑ Strengths
A wide range of optimization algorithms
High performance and efficiency in numerical computations
Well-documented with examples for easy integration
Weaknesses
↓ Weaknesses
Limited community support and documentation
Performance issues with large datasets
Integration limitations with non-Golang ecosystems
↓ Weaknesses
Limited language support
Complex setup for non-Go projects
Small community and limited third-party contributions
Performance optimizations require deep understanding of Go internals