GraphCanon updated 2d · GitHub synced 2d
Decision brief
Natasha is a Russian NLP toolkit offering capabilities such as embeddings, morphology analysis, named entity recognition (NER), syntax parsing, and sentence segmentation.
Good fit when
- For projects requiring deep processing of Russian language text data.
- When you need an API-based approach to integrate Russian NLP tasks into lower-level Natasha projects.
Avoid when
- If your project involves languages other than Russian as Natasha is specialized for the Russian language.
- In scenarios where advanced, fine-tuned models are required that go beyond basic NLP tasks, as Natasha focuses on foundational NLP capabilities.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (130d since push)
- As of 2d
- Provenance
- Not a fork · Organization account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install natashaSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based library focused on processing Russian textual data with capabilities including embeddings, morphology analysis, named entity recognition (NER), syntax parsing, and sentence segmentation. It provides a comprehensive toolkit for natural language processing tasks specifically geared towards the Russian language.
Capability facts
- Languages
- python
Source: github.language · Aug 22, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 22, 2026)
Natasha supports Python 3.7+ and PyPy3:Source link
Tags
README
Install
Natasha supports Python 3.7+ and PyPy3:
$ pip install natasha
For agents
This page has a .md twin and JSON over the API.