explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
3 releases in the last 90 days, the latest 12 days ago, with 388 contributors on GitHub.
Use Cases & Benefits
- Provides an industrial-strength Natural Language Processing library in Python with pretrained models and support for 70+ languages.
- Delivers state-of-the-art speed and accuracy with production-ready training, extensible pipelines, and integration of transformer models like BERT.
- Use for building scalable, multilingual NLP applications requiring tokenization, named entity recognition, and dependency parsing.
- Use for training custom NLP models with a robust system supporting PyTorch and TensorFlow frameworks.
- Use for deploying NLP workflows with easy model packaging, deployment, and GPU acceleration for high-performance inference.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products.
spaCy comes with pretrained pipelines and currently supports tokenization and training for 70+ languages. It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition, text classification and more, multi-task learning with pretrained transformers like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. spaCy is commercial open-source software, released under the MIT license.
💫 Version 3.8 out now! Check out the release notes here.
The spaCy project is maintained by the spaCy team. Please understand that we won't be able to provide individual support via email. We also believe that help is much more valuable if it's shared publicly, so that more people can benefit from it.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
4.7K+31
Open issues
265+34
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
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| D4Vinci/Scrapling | 101.1K | +6.3K | 75 | 6 days ago |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
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| harry0703/MoneyPrinterTurbo | 142.0K | +3.8K | 75 | 3 days ago |
| github/spec-kit | 149.2K | +2.6K | 75 | today |
| explosion/spaCy | 34.0K | — | 59 | 12 days ago |
| Category median | 115.8K | +4.0K | 75 | — |
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