What is SolaraV2-coder-0517?
54/100
Trust Score (D)
⚠️ Use Caution
SolaraV2-coder-0517 is a coding that Automated coding assistant.. It has a Nerq Trust Score of 54/100 (D). 1 GitHub stars. Published by summerstars. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 1 stars, 3 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
54
TRUST SCORE
D
GRADE
1
STARS
3
DOWNLOADS
What SolaraV2-coder-0517 Does
SolaraV2-coder-0517 is a model in the coding category. Automated coding assistant.. It is published by summerstars and has no specified license. With 1 GitHub stars and 3 downloads, it has a small community of users and contributors.
Who Should Use SolaraV2-coder-0517
SolaraV2-coder-0517 is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | summerstars |
|---|---|
| Category | coding |
| 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=solarav2-coder-0517
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
| langchain | 77 | 127.8K |
| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
What is SolaraV2-coder-0517 used for?
SolaraV2-coder-0517 is a coding tool. Automated coding assistant..
Is SolaraV2-coder-0517 free?
License: Check project page. SolaraV2-coder-0517 has 1 GitHub stars.
Is SolaraV2-coder-0517 safe?
SolaraV2-coder-0517 has a Nerq Trust Score of 54/100 (D). Use with caution.
What are alternatives to SolaraV2-coder-0517?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.