🆚 Go vs. Rust

Type

Programming language
Programming language

About

Go, also known as Golang, is a high-level, statically typed, compiled programming language developed at Google for building efficient, scalable software and backend services.

It features garbage collection, fast compilation, a large standard library, and built-in concurrency using goroutines and channels based on the communicating sequential processes model, where goroutines can start with about 2 KB of stack memory and scale to handle hundreds of thousands of concurrent tasks.

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Rust is a systems programming language originally developed at Mozilla with a focus on performance, memory safety, and concurrency.

It uses an ownership and borrowing model enforced at compile time to prevent memory errors such as null pointer dereferencing and data races without requiring a garbage collector, and includes pattern matching, async programming support, Cargo package management, and cross-platform compilation.

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Headquarters

Mountain View, California, United States
Wakefield, Massachusetts, United States

Website

Categories

Programming Languages › Rank #12
Programming Languages › Rank #19
Platforms › Rank #8

Popularity

Determined by the number of sites using each technology.

The Go programming language is 77 times more popular than Rust.
Total websites

Market share

Programming Languages

Popularity by country

Determined by the number of sites detected from each country.

Go is more popular than Rust in all countries.
United States
Germany
United Kingdom
France
Netherlands
Canada
Japan
China
Switzerland
Australia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Go is more popular than Rust in all market segments.
Blogs/Wiki
Business
Software/Hardware
Internet Services
Education/Reference
Technical/Business Forums
Technical Information
Marketing/Merchandising
Games
Online Shopping

Top sites

Top-ranked sites that use these technologies.

Name
Rank
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Name
Rank
#38,780
#71,228
#306,730
View more ➝

See also

🗃️ About This Data