What is Ikaijua Awesome Aitools?
0/100
Trust Score (D)
🔴 Avoid
Ikaijua Awesome Aitools is a ai_tool that An AI ai_tool. It has a Nerq Trust Score of 0/100 (D). 0 GitHub stars. Published by Unknown. Last analyzed March 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
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TRUST SCORE
D
GRADE
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STARS
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DOWNLOADS
What Ikaijua Awesome Aitools Does
Ikaijua Awesome Aitools is a ai_tool in the ai_tool category. An AI ai_tool. It is published by Unknown and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Ikaijua Awesome Aitools
Ikaijua Awesome Aitools is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | ai_tool |
| License | Not specified |
| Type | ai_tool |
| 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=ikaijua-awesome-aitools
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| LLaVA | 71 | 24.5K |
| Qwen2.5-VL-7B-Instruct | 59 | 1.5K |
| Qwen2.5-7B-Instruct | 59 | 1.1K |
| Qwen2.5-1.5B-Instruct | 59 | 617 |
| Qwen3-4B | 63 | 556 |
Frequently Asked Questions
What is Ikaijua Awesome Aitools used for?
Ikaijua Awesome Aitools is a ai_tool tool. An AI ai_tool.
Is Ikaijua Awesome Aitools free?
License: Check project page. Ikaijua Awesome Aitools has 0 GitHub stars.
Is Ikaijua Awesome Aitools safe?
Ikaijua Awesome Aitools has a Nerq Trust Score of 0/100 (D). Evaluate carefully.
What are alternatives to Ikaijua Awesome Aitools?
Top alternatives: LLaVA, Qwen2.5-VL-7B-Instruct, Qwen2.5-7B-Instruct. See full comparison.
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Last updated March 2026. Trust scores based on automated analysis of public data.