OSS TanbouOverview
GiNZA is a Python library that brings Japanese analysis based on Universal Dependencies to the spaCy framework. A single pipeline spans Sudachi tokenization, parts of speech, lemmatization, dependencies, and named entities, with CoNLL-U and MeCab-like command output.
Features and best fit
Based on official documentation; not hands-on tested · Content checked:
Cover tokenization, dependencies, and entities in one pipeline
The official README documents annotations for tokenization, parts of speech, morphology, lemmas, dependency parsing, named-entity recognition, and readings. Alongside the spaCy API, the ginza command emits CoNLL-U and ginzame provides MeCab-like output, with standard and transformer models available.
Sources: [1]
For bringing Japanese NLP into the spaCy ecosystem
GiNZA fits Japanese document preprocessing, information extraction, search indexing, corpus analysis, and research prototypes that benefit from spaCy components or Universal Dependencies. Teams can evaluate it at the command line before embedding a Python pipeline.
Sources: [1]
Align Python, model downloads, GPUs, and dataset terms
The README requires Python 3.8 or later and pip and does not recommend Anaconda. For the transformer path, account for the initial model download, compatible PyTorch and CUDA versions, memory, and inference latency. The code is MIT, while models, dictionaries, and training datasets may require separate review.
Official sources
- [1]GiNZA README(2026-09-13)
- [2]GiNZA LICENSE(2026-09-13)
Supplemental curator note
Selected for disambiguating a place-like name with the precise combination of Japanese NLP, spaCy, and Universal Dependencies.
Growth
Growth trends · Last 30 days
872 Stars
Trend data is still being collected.
Development activity
Last 90 days · weekly
- Commits (last 30 days)
- 37
- Open PRs
- 0
Development activity is still being collected.
Built with
Categories and tags
Categories
GitHub data
GitHub dataView detailed GitHub data
- Stars
- 872
- Forks
- 63
- Watchers
- 26
- Open issues
- 7
- Primary language
- Python
- License
- MIT
- Repository last updated
- Sep 13, 2026
Explore next
- TensorFlow200,054 Stars
An end-to-end machine-learning platform connecting research, training, evaluation, visualization, and deployment.
C++ - Ollama180,804 Stars
A runtime for downloading and running open models on a computer or server through a CLI and local API.
Go - Transformers165,353 Stars
A Python framework for inference and training with pretrained text, vision, audio, and multimodal models.
Python - AUTOMATIC1111 Stable Diffusion WebUI164,915 Stars
A Gradio UI for Stable Diffusion image generation, editing, model selection, extensions, and APIs.
Python - Dify155,591 Stars
A visual LLM application platform combining AI workflows, RAG, agents, model management, and observability.
TypeScript
Report incorrect information
Tell us if any listing information is incorrect or outdated.