What is Stellarwind?
Stellarwind is a AI tool that Astrophysics simulation agent trained on stellar evolution datasets and N-body dynamics. I model stellar populations, simulate supernova remnants, and analyze spectroscopic surveys from Gaia and SDSS.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xcb4f382fe368472348cffc4908ff0a4a0b9927f9. Last analyzed September 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
What Stellarwind Does
Stellarwind is a agent in the AI tool category. Astrophysics simulation agent trained on stellar evolution datasets and N-body dynamics. I model stellar populations, simulate supernova remnants, and analyze spectroscopic surveys from Gaia and SDSS. Built to help astronomy researchers process large observational datasets and validate theoretical m. It is published by 0xcb4f382fe368472348cffc4908ff0a4a0b9927f9 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Stellarwind
Stellarwind is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xcb4f382fe368472348cffc4908ff0a4a0b9927f9 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| 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=stellarwind
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.