Glot vs Gonum/Plot

Side-by-side — pricing, strengths, tradeoffs, and fit.

Glot

A plotting library for Golang built on top of gnuplot.

Gonum/Plot

A plotting library for Go to create visualizations.

At a glance

Open SourceFree Tier
◌ Declining·From $0
Open SourceFree Tier
· Not enough data·From $0

Overview

One-liner

A plotting library for Golang built on top of gnuplot.

One-liner

A plotting library for Go to create visualizations.

Maturity

Declining

Maturity

Not enough data

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Golang developers who need to integrate plotting capabilities into their applications without external dependencies
Projects requiring high-quality, customizable plots generated directly from Go code

✓ Best for

Go developers who need to integrate plotting functionality directly within their applications.
Data scientists working with Go for numerical analysis and visualization tasks.

Not ideal for

✕ Not for

Developers looking for a cloud-based or web service solution for plotting
Users needing real-time interactive visualizations (Glot is more suited for static plot generation)

✕ Not for

Developers looking for a web-based or cloud-hosted solution for data visualization.
Projects requiring real-time interactive visualizations without the overhead of local rendering.

Strengths

↑ Strengths

Built on top of gnuplot for high-quality plotting
Simplified API for creating complex plots from Go code
Supports a wide range of plot types and customization options

↑ Strengths

Supports various plot types including line, scatter, and histogram plots.
High-quality visualizations suitable for publication and presentation.
Seamless integration with other Gonum packages for numerical computing.

Weaknesses

↓ Weaknesses

Limited language support
Dependence on gnuplot installation
Performance limitations for large datasets

↓ Weaknesses

Limited documentation and examples
Complex setup process
Limited community support
Performance issues with large datasets
Full Glot profile →Full Gonum/Plot profile →