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Project comparison
Opik vs System Prompts And Models Of Ai Tools
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
19.3K
Stars
0
Weekly
58/100
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
Opik is currently growing faster at 0 stars this week.
Maintenance
Opik has the stronger health score at 58/100.
Side-by-side Metrics
| Signal | Opik | System Prompts And Models Of Ai Tools |
|---|---|---|
| GitHub stars | 19.3K | 137.2K |
| Weekly growth | 0 | 0 |
| Health score | 58 | 42 |
| Contributors | 121 | 29 |
| Commits per week | 94.4 | 1.6 |
| Open issues | 136 | 140 |
| Language | Python | N/A |
| License | Apache-2.0 | GPL-3.0 |
| Last commit | 21h ago | 2d ago |
| Last release | 2.0.29 | N/A |
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