stanza | Official Stanford NLP Python Library for Many Human Languages | Natural Language Processing library
by stanfordnlp Python Version: v1.3.0 License: Non-SPDX
by stanfordnlp Python Version: v1.3.0 License: Non-SPDX
kandi X-RAY | stanza Summary
stanza is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Bert applications. stanza has no bugs, it has no vulnerabilities, it has build file available and it has high support. However stanza has a Non-SPDX License. You can install using 'pip install stanza' or download it from GitHub, PyPI.
The Stanford NLP Group's official Python NLP library. It contains support for running various accurate natural language processing tools on 60+ languages and for accessing the Java Stanford CoreNLP software from Python. For detailed information please visit our official website. 🔥 A new collection of biomedical and clinical English model packages are now available, offering seamless experience for syntactic analysis and named entity recognition (NER) from biomedical literature text and clinical notes. For more information, check out our Biomedical models documentation page.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse
Support
- stanza has a highly active ecosystem.
- It has 6086 star(s) with 788 fork(s). There are 143 watchers for this library.
- There were 3 major release(s) in the last 12 months.
- There are 84 open issues and 590 have been closed. On average issues are closed in 106 days. There are 2 open pull requests and 0 closed requests.
- It has a negative sentiment in the developer community.
- The latest version of stanza is v1.3.0
stanza Support
Best in #Natural Language Processing
Average in #Natural Language Processing
stanza Support
Best in #Natural Language Processing
Average in #Natural Language Processing
Quality
- stanza has 0 bugs and 0 code smells.
stanza Quality
Best in #Natural Language Processing
Average in #Natural Language Processing
stanza Quality
Best in #Natural Language Processing
Average in #Natural Language Processing
Security
- stanza has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
- stanza code analysis shows 0 unresolved vulnerabilities.
- There are 0 security hotspots that need review.
stanza Security
Best in #Natural Language Processing
Average in #Natural Language Processing
stanza Security
Best in #Natural Language Processing
Average in #Natural Language Processing
License
- stanza has a Non-SPDX License.
- Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
stanza License
Best in #Natural Language Processing
Average in #Natural Language Processing
stanza License
Best in #Natural Language Processing
Average in #Natural Language Processing
Reuse
- stanza releases are available to install and integrate.
- Deployable package is available in PyPI.
- Build file is available. You can build the component from source.
- Installation instructions, examples and code snippets are available.
- It has 27581 lines of code, 1513 functions and 258 files.
- It has high code complexity. Code complexity directly impacts maintainability of the code.
stanza Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
stanza Reuse
Best in #Natural Language Processing
Average in #Natural Language Processing
Top functions reviewed by kandi - BETA
kandi has reviewed stanza and discovered the below as its top functions. This is intended to give you an instant insight into stanza implemented functionality, and help decide if they suit your requirements.
- Initialize embedding .
- Load a CoNLLU .
- Parse text into a tree structure .
- Returns the next result .
- Get a list of sentences from the pipeline .
- Run trained model .
- Train a model on the given batch .
- Normalize the entity .
- Collect processor list .
- Prepare default models .
stanza Key Features
Official Stanford NLP Python Library for Many Human Languages
stanza Examples and Code Snippets
Community Discussions
Vulnerabilities
No vulnerabilities reported
Install stanza
To run your first Stanza pipeline, simply following these steps in your Python interactive interpreter:.
Support
We welcome community contributions to Stanza in the form of bugfixes 🛠️ and enhancements 💡! If you want to contribute, please first read our contribution guideline.
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