What is parasyncbackend?
53/100
Trust Score (D)
⚠️ Use Caution
parasyncbackend is a devops that Parasync backend agent for orchestration.. It has a Nerq Trust Score of 53/100 (D). 0 GitHub stars. Published by edureyalabs. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
53
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What parasyncbackend Does
parasyncbackend is a agent in the devops category. Parasync backend agent for orchestration.. It is published by edureyalabs and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use parasyncbackend
parasyncbackend is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | edureyalabs |
|---|---|
| Category | devops |
| License | Not specified |
| Type | agent |
| 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=parasyncbackend
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| ansible | 75 | 68.1K |
| Flowise | 68 | 49.6K |
| learn-claude-code | 76 | 42.5K |
| continue | 75 | 31.6K |
| agents | 79 | 29.1K |
Frequently Asked Questions
What is parasyncbackend used for?
parasyncbackend is a devops tool. Parasync backend agent for orchestration..
Is parasyncbackend free?
License: Check project page. parasyncbackend has 0 GitHub stars.
Is parasyncbackend safe?
parasyncbackend has a Nerq Trust Score of 53/100 (D). Use with caution.
What are alternatives to parasyncbackend?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.