HanLP

Health v2 · maintenance only

Adoption not part of the score

36484 stars · 10915 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

HanLP is a production-oriented multilingual NLP toolkit built on PyTorch and TensorFlow 2.x, offering tokenization, POS tagging, NER, dependency and constituency parsing, semantic role labeling, summarization, and text classification across 130 languages. It ships dozens of pretrained models with a Python API and RESTful service options.

Use cases

• segment chinese text into words
• extract named entities from chinese documents
• parse dependency trees for sentences
• summarize long articles automatically
• classify or cluster documents by topic
• extract keywords and key phrases from text
• convert between simplified and traditional chinese with pinyin
• compute semantic similarity between sentences

When to choose

• you need state-of-the-art chinese or multilingual NLP in python
• you want pretrained models for many NLP tasks in one toolkit
• you need production-ready accuracy and active maintenance

When to avoid

• you need a lightweight pure-python solution without deep learning dependencies
• you only need english-only NLP with a simpler ecosystem like spaCy
• you cannot download large pretrained models

Facets

library · maturity active

nlp machine-learning parser search-engine machine-learning developer-tools python cross-platform chinese-word-segmentation named-entity-recognition dependency-parsing text-summarization pytorch multilingual pretrained-models text-classification natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hankcs/HanLP")