Whatlang Rs

Whatlang Rs

Fast, pure Rust natural language detection library for over 80 languages.

69/100MonitorFreeFree

Whatlang is a solid, no-frills language detection library for Rust. Its simplicity and speed make it ideal for basic identification tasks, but it lacks advanced features like confidence metrics. For most Rust projects, it’s a pragmatic choice.

Best for
  • Rust developers needing language detection
  • Builders of CLI tools for text processing
  • Developers of lightweight web services
  • Projects requiring offline language identification
Not ideal for
  • Non-developers looking for out-of-the-box solution
  • Applications needing high accuracy on very short texts
  • Users requiring confidence scores or language family info
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IntermediateWeb · CLINo public APIVerified 15d ago
Pricing
Free
FreeFree tier
Learning curve
Intermediate
Runs on
WebCLI
No public API
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In short

Whatlang Rs — Fast, pure Rust natural language detection library for over 80 languages. Best for Rust developers needing language detection, Builders of CLI tools for text processing, Developers of lightweight web services. Free to use.

Viability Score

69/100
Monitor

How likely is Whatlang Rs to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
40
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Language detection for 80+ languages
  • Script detection (Latin, Cyrillic, Arabic etc.)
  • N-gram based algorithm
  • Pure Rust implementation
  • No external dependencies
  • Lightweight and fast
  • Open source under MIT license
  • Online demo at whatlang.org
  • Rust crate for easy integration
  • Supports short text input

About Whatlang Rs

FreeIntermediateNo APIWeb · CLI

Whatlang is a natural language detection library written in Rust, focused on speed and accuracy. It supports over 80 languages and can identify both language and script from text samples. The library is designed for developers who need lightweight, embeddable language detection without external dependencies. Primarily targeted at Rust developers, Whatlang can be used in web services, CLI tools, or embedded systems. Its algorithm relies on n-gram frequency analysis and is optimized for short texts, making it suitable for real-time applications. What differentiates Whatlang is its pure Rust implementation, which avoids the overhead of HTTP calls or large models. The library is open source under MIT license, allowing free use in commercial projects. A live demo is available at whatlang.org for quick testing. The project is maintained by Sergey Potapov and supported via donations. While it lacks features like confidence scores or language family detection, its simplicity and performance make it a solid choice for basic language identification tasks.

Behind the Verdict

Whatlang earns its place as a go-to Rust library for language detection when you need something lightweight and dependency-free. It covers over 80 languages and detects scripts alongside language, which is handy for text normalization pipelines. The n-gram based algorithm works well on short texts, making it viable for real-time use in CLI tools or embedded systems. Where it falls short is in advanced analytics. There's no confidence score, no language family detection, and it doesn't handle mixed-language text well. If your use case requires nuanced understanding or probabilistic output, you'd look elsewhere (e.g., CLD3 or FastText via FFI). Compared to alternatives like lingua-rs (also Rust, but with confidence values), Whatlang is simpler and faster but less informative. The pure Rust implementation is a genuine advantage for projects where binary size and lack of C dependencies matter. In practice, we'd reach for Whatlang when we need a quick, reliable answer to 'what language is this short string?' without setting up a heavyweight service. For production systems that need to handle ambiguous or multi-language documents, it's likely too basic. The MIT license and active maintenance are pluses, but community contributions are modest. Overall, a competent tool for a narrow need.

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Use Cases

Limitations

  • Whatlang does not provide confidence scores or probabilities, which may be limiting for applications requiring threshold-based decisions.
  • Its performance on very short texts (e.g., single words) is reduced compared to longer inputs.
  • The library also does not support language family detection or mixed-language texts.

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