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Project comparison
Ai Engineering Hub vs System Prompts And Models Of Ai Tools
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Ai Engineering Hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
34.9K
Stars
0
Weekly
31/100
Health
System Prompts And Models Of Ai Tools
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
137.2K
Stars
0
Weekly
42/100
Health
Quick Take
Adoption
System Prompts And Models Of Ai Tools has the larger GitHub footprint with 137.2K stars.
Momentum
Ai Engineering Hub is currently growing faster at 0 stars this week.
Maintenance
System Prompts And Models Of Ai Tools has the stronger health score at 42/100.
Side-by-side Metrics
| Signal | Ai Engineering Hub | System Prompts And Models Of Ai Tools |
|---|---|---|
| GitHub stars | 34.9K | 137.2K |
| Weekly growth | 0 | 0 |
| Health score | 31 | 42 |
| Contributors | 16 | 29 |
| Commits per week | 1.8 | 1.6 |
| Open issues | 113 | 140 |
| Language | Jupyter Notebook | N/A |
| License | MIT | GPL-3.0 |
| Last commit | 15d ago | 11d ago |
| Last release | N/A | N/A |
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