What is codepulse-ai?
52/100
Trust Score (D)
⚠️ Use Caution
codepulse-ai is a AI tool that 基于 FastAPI 和 Streamlit 的开源项目健康诊断工具. It has a Nerq Trust Score of 52/100 (D). 0 GitHub stars. Published by YanLeaf AI Lab. Last analyzed May 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
52
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What codepulse-ai Does
codepulse-ai is a model in the AI tool category. 基于 FastAPI 和 Streamlit 的开源项目健康诊断工具. It is published by YanLeaf AI Lab and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use codepulse-ai
codepulse-ai is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | YanLeaf AI Lab |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | model |
| 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=codepulse-ai
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| openclaw | 61 | 218.2K |
| tensorflow | 59 | 193.9K |
| AutoGPT | 63 | 181.9K |
| n8n | 52 | 177.3K |
| ollama | 58 | 163.0K |
Frequently Asked Questions
What is codepulse-ai used for?
codepulse-ai is a AI tool tool. 基于 FastAPI 和 Streamlit 的开源项目健康诊断工具.
Is codepulse-ai free?
License: Check project page. codepulse-ai has 0 GitHub stars.
Is codepulse-ai safe?
codepulse-ai has a Nerq Trust Score of 52/100 (D). Use with caution.
What are alternatives to codepulse-ai?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated May 2026. Trust scores based on automated analysis of public data.