What is Rocket-Landing?
Rocket-Landing is a coding that Rocket-Landing AI uses reinforcement learning for rocket landing simulations.. It has a Nerq Trust Score of 62/100 (C). 8 GitHub stars. Published by YeopSeung04. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 8 stars, 0 downloads — Growing community
- ✅ Transparency: License: GPL-3.0 — Clear licensing
Trust & Safety Overview
What Rocket-Landing Does
Rocket-Landing is a tool in the coding category. Rocket-Landing AI uses reinforcement learning for rocket landing simulations.. It is published by YeopSeung04 and is open source. With 8 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Rocket-Landing
Rocket-Landing is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | YeopSeung04 |
|---|---|
| Category | coding |
| License | GPL-3.0 |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=rocket-landing
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.