fastText
fastText: A free, focused toolkit for developers adding classification and multilingual vectors to applications. Ranked #23 of 29 in Natural Language Processing Software by our editors (6.3/10); pricing: Free plan; best for lightweight text classification.
At a glance
- Editor score6.3 / 10
- PricingFree plan
- Best forLightweight text classification
- Free planYes
- Paid fromFree
- Text classificationYes
- Facts checked25 Sep 2026
Where it wins
- Free open-source library with self-hosted deployment
- Pretrained vectors for 157 languages and identification for 176
- Python bindings plus WebAssembly support for browser applications
Where it doesn't
- NLP coverage is narrower than full-featured toolkits
- Self-hosted deployment puts setup and maintenance on your team
- Official GitHub repository has been archived and is read-only
Our verdict on fastText
fastText is a free, open-source library for developers and researchers embedding natural language processing into their own applications. Its core work includes supervised text-classifier training, sentiment-analysis classifiers, word and sentence representations, prediction, and evaluation. The library fits solo developers through enterprise teams that need focused text classification or multilingual language resources without adopting a broader NLP platform.
Its feature set combines supervised and unsupervised workflows. Developers can train classifiers, create sentence vectors, and learn word vectors with skipgram and CBOW. Published pretrained vectors cover 157 languages, while language-identification models recognize 176 languages. Model quantization helps reduce memory usage. Platform coverage includes command-line and Python interfaces, an API, local builds on modern macOS and Linux systems, and a WebAssembly module documented for JavaScript and browser use. These options suit applications that need to run models within their own infrastructure or client-side environments.
The trade-off is scope and maintenance responsibility. fastText concentrates on classification, representations, sentiment, language identification, and related prediction tasks rather than presenting the broader coverage of a full NLP toolkit. Deployment is self-hosted, so teams manage local builds, model operation, and integration themselves. The official GitHub repository is archived and read-only, although the website and documentation remain available; support is centered on documentation and community channels. Choose fastText when a lightweight, open-source component meets your application’s language and deployment needs. Consider a broader toolkit when you require a wider range of NLP capabilities or a more actively maintained code repository.
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fastText pricing
fastText fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Text classification | Yes |
| Entity extraction | Not verified |
| Sentiment analysis | Yes |
| Language detection | Yes |
| Deployment options | On-premises |
| API access | Yes |
| Deployment | Self-hosted |
| Platforms | Web, macOS, Linux |
| Support | Docs, Community |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | fasttext.cc |
| Facts checked | 25 Sep 2026 |
Alternatives to fastText
- spaCyA free, extensible NLP library for teams building and deploying custom pipelines.9.4
- Apache OpenNLPA broad Java NLP toolkit for teams that want self-hosted pipelines and control over model training.9.2
- Apache UIMAA flexible, self-hosted framework for teams building scalable text-processing pipelines.9.0
See all fastText alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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