hlpun/Train-in-Silence

The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ cloud providers.

104
Stars
5
Forks
29.3
Radar Score
Stable
Momentum

Scoring Breakdown

Impact23.1
Velocity23.9
Health46.6

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Modest but positive momentum.

MCP · serverTop 84% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
63%
Mixed Signals
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
29.3
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Issue engagement: 0 open issues for 104 stars (0.0%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

Share & Embed

Display live Radar metrics in your documentation, website, or social profiles.

View on GitHub