STACKQUADRANT

PacktPublishing/LLM-Engineers-Handbook

Evaluation & Testing

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

6.6
GitHub Metrics
Stars
5.1k
Forks
1.2k
Open Issues
34
Watchers
60
Contributors
10
Weekly Commits
0
Language
Python
License
MIT
Last Commit
Apr 22, 2026
Created
Apr 9, 2024
Latest Release
Release Date
Synced: Jun 29, 2026
Quality Scores
Documentation Qualityw: 20%
6.8

Has docs site (https://www.amazon.com/LLM-Engineers-Handbook-engineering-production/dp/1836200072/). Description: 122 chars. Stars signal: 5,134. Contributors: 10. Score: 6.8/10

Community Healthw: 20%
6.5

Stars: 5,134. Contributors: 10. Watchers: 60. Forks: 1,236. Issue ratio: 0.7%. Score: 6.5/10

Maintenance Velocityw: 15%
4.8

Last commit: 68d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.2y old. Score: 4.8/10

API Design & DXw: 20%
8.1

Stars/issues ratio: 151. Dynamic language: Python. Has documentation site. Permissive license: MIT. Popularity signal: 5,134 stars. Score: 8.1/10

Production Readinessw: 15%
5.2

Battle-tested: 5,134 stars. Peer review: 10 contributors. No versioned releases. Licensed: MIT. Age: 2.2 years. Maintenance: last commit 68d ago. Score: 5.2/10

Ecosystem Integrationw: 10%
8.2

Fork interest: 1,236. Major ecosystem: Python. Integration-friendly: MIT. Adoption: 5,134 stars. Has web presence. Score: 8.2/10

Tags
awsfine-tuning-llmgenaillmllm-evaluationllmopsml-system-designmlopsrag
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration