<div align="center">
<h1>WhatLang ⚡ </h1>
<p>
<strong>Python Binding for WhatLang, a blazing fast language detection library</strong>
</p>
<p>
<a href="https://badge.fury.io/py/whatlang-pyo3"><img src="https://badge.fury.io/py/whatlang-pyo3.svg" alt="PyPI version" height="18"></a>
<a href="https://pypi.org/project/whatlang-pyo3/"><img src="https://img.shields.io/pypi/l" alt="License" height="18"></a>
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</p>
<p>
<img src="assets/showcase.gif" alt="Showcase">
</p>
</div>
<!--
[](https://badge.fury.io/py/whatlang-pyo3)
 
[](https://actions-badge.atrox.dev/omarmhaimdat/whatlang-pyo3/goto?ref=master)
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WhatLang is a Python library for detecting the language of a text. It is based on the [WhatLang](https://github.com/greyblake/whatlang-rs) Rust library.
## Installation
```bash
pip install whatlang-pyo3
```
## Usage
### Detect
```python
>>> from whatlang import detect
>>> info = detect("This is written in English")
"Language: eng - Script: Latin - Confidence: 0.11450955767632877 - Is reliable: false"
>>> info.lang
"eng"
>>> info.script
"Latin"
>>> info.confidence
0.11450955767632877
>>> info.is_reliable
False
>>> info.to_iso()
"Language: en - Script: Latin - Confidence: 0.11450955767632877 - Is reliable: false"
```
### Detect language
You can also detect the language of a text without the script and the confidence.
```python
>>> from whatlang import detect_lang
>>> detect_lang("This is written in English")
"eng"
>>> detect_lang("Ceci est écrit en français")
"fra"
>>> detect_lang("Ceci est écrit en français").iso
"fr"
```
### Detect script
You can also detect the script of a text without the language and the confidence.
```python
>>> from whatlang import detect_script
>>> detect_script("This is written in English")
Name: Latin - Languages: spa, eng, por, ind, fra, deu, jav, vie, ita, tur, pol, ron, hrv, nld, uzb, hun, aze, ces, zul, swe, aka, sna, afr, fin, slk, tgl, tuk, dan, nob, cat, lit, slv, epo, lav, est, lat
>>> detect_script.name
"Latin"
>>> detect_script.langs
['spa', 'eng', 'por', 'ind', 'fra', 'deu', 'jav', 'vie', 'ita', 'tur', 'pol', 'ron', 'hrv', 'nld', 'uzb', 'hun', 'aze', 'ces', 'zul', 'swe', 'aka', 'sna', 'afr', 'fin', 'slk', 'tgl', 'tuk', 'dan', 'nob', 'cat', 'lit', 'slv', 'epo', 'lav', 'est', 'lat']
```
### Batch detection
You can also detect the language of a list of texts, and take advantage of the parallelism with the n_jobs parameter.
[](assets/batch.gif)
```python
>>> from whatlang import batch_detect
>>> batch_detect(["This is written in English", "Ceci est écrit en français"], n_jobs=-1)
[LanguageInfo(lang='eng', script='Latin', confidence=0.11450955767632877, is_reliable=False), LanguageInfo(lang='fra', script='Latin', confidence=0.11450955767632877, is_reliable=False)]
```
The performance of the batch detection is much better than the detection of a single text, it can be up to **5 times faster**.
## Contributing
Contributions are welcome! Please open an issue or a pull request.
### Install maturin
We use maturin for the development of this library.
```bash
pip install maturin
```
### Build
```bash
maturin build --release
```
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details
Raw data
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