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

6.7
GitHub Metrics
Stars
4.9k
Forks
1.2k
Open Issues
31
Watchers
57
Contributors
10
Weekly Commits
0
Language
Python
License
MIT
Last Commit
Mar 2, 2026
Created
Apr 9, 2024
Latest Release
Release Date
Synced: Apr 16, 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: 4,908. Contributors: 10. Score: 6.8/10

Community Healthw: 20%
6.5

Stars: 4,908. Contributors: 10. Watchers: 57. Forks: 1,179. Issue ratio: 0.6%. Score: 6.5/10

Maintenance Velocityw: 15%
5.1

Last commit: 45d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.0y old. Score: 5.1/10

API Design & DXw: 20%
8.1

Stars/issues ratio: 158. Dynamic language: Python. Has documentation site. Permissive license: MIT. Popularity signal: 4,908 stars. Score: 8.1/10

Production Readinessw: 15%
5.4

Battle-tested: 4,908 stars. Peer review: 10 contributors. No versioned releases. Licensed: MIT. Age: 2.0 years. Maintenance: last commit 45d ago. Score: 5.4/10

Ecosystem Integrationw: 10%
8.2

Fork interest: 1,179. Major ecosystem: Python. Integration-friendly: MIT. Adoption: 4,908 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