natasha/ipymarkup
NER, syntax markup visualizations
When analyzing text, this tool helps you clearly see and verify the extracted entities (like names or locations) and understand the grammatical structure of sentences. You provide your text and the identified entities or sentence structures, and it outputs a neatly formatted visualization directly in your environment. This is useful for linguists, data scientists, or anyone working with text analysis to ensure accuracy and interpret NLP model outputs.
140 stars. Used by 1 other package. Available on PyPI.
Use this if you need to visually inspect the output of Named Entity Recognition (NER) or dependency parsing on text data, especially for languages like Russian.
Not ideal if you're looking for a tool to perform the actual NER or syntax analysis itself, as this only visualizes pre-existing results.
Stars
140
Forks
16
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 09, 2026
Commits (30d)
0
Dependencies
1
Reverse dependents
1
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