What is tianji-chinese?
56/100
Trust Score (D)
⚠️ Use Caution
tianji-chinese is a other that Tianji-Chinese is an AI assistant.. It has a Nerq Trust Score of 56/100 (D). 17 GitHub stars. Published by sanbu. Last analyzed November 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 17 stars, 1.0K downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
56
TRUST SCORE
D
GRADE
17
STARS
1.0K
DOWNLOADS
What tianji-chinese Does
tianji-chinese is a dataset in the other category. Tianji-Chinese is an AI assistant.. It is published by sanbu and has no specified license. With 17 GitHub stars and 1.0K downloads, it has a small community of users and contributors.
Who Should Use tianji-chinese
tianji-chinese is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | sanbu |
|---|---|
| Category | other |
| License | Not specified |
| Type | dataset |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=tianji-chinese
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| cs-video-courses | 60 | 74.3K |
| awesome-scalability | 59 | 68.7K |
| superpowers | 62 | 57.5K |
| yolov5 | 61 | 56.8K |
| faceswap | 57 | 55.0K |
Frequently Asked Questions
What is tianji-chinese used for?
tianji-chinese is a other tool. Tianji-Chinese is an AI assistant..
Is tianji-chinese free?
License: Check project page. tianji-chinese has 17 GitHub stars.
Is tianji-chinese safe?
tianji-chinese has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to tianji-chinese?
Top alternatives: cs-video-courses, awesome-scalability, superpowers. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated November 2026. Trust scores based on automated analysis of public data.